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Senior Analyst – Business Analytics & Insights About the roleThe Global sales &amp; revenue analytics team is responsible to upscale the org towards data driven strategic decision making by adding the intelligence layer on top of InMobi’s robust and complex data - to unlock the revenue potential through analytics, storytelling, and go-to-market strategy. This intelligence layer will be consumed towards realizing efficiencies, unlocking productivity, assessing health of each of our global revenue units.This team, your role, in collaboration with Strategy &amp; Operations team (CEO’ office) will be instrumental in ensuring our journey towards intelligent decision making that will drive the organization to achieve its aggressive revenue growth goals. You will be able to create impact across the organization (Data, Systems, Process and People), that has implications on day-to-day business and organizational health metrics. Who you are<ul><li>Analytical: You appreciate a good spreadsheet, are comfortable with big data sets and are meticulous in your metrics. You have a track record of driving actionable insights that result in measurable growth</li><li>A Do-er: You can execute on complex and ambiguous projects with conviction &amp; good judgement and need minimal guidance &amp; direction</li><li>Collaborative by nature: You have experience partnering cross-functionally with Product, Finance, Marketing and HR, amongst other groups. You’re a strong team player and can work effectively with others across time zones in a global set up</li><li>A strategic thinker: You lean on your market experience and commercial instincts to build and drive the company’s growth strategy</li></ul> What will you be doing?<ul><li>Identify key performance metrics and build exec-facing dashboards to track progress of our high priority revenue initiatives.</li><li>Build effective visualisations to communicate data to key decision-makers using data story telling</li><li>Build predictable mechanisms through data science and machine learning models to track revenue, forecast risks and flag any deviations that may lead to the businesses missing their respective goals. In addition to revenue, also build ways to accurately track the hygiene metrics for the revenue units across engagement, retention etc.</li><li>Help with data backed insights to drive medium &amp; long-term strategy for the business and monthly/quarterly planning &amp; review exercises for different revenue units</li><li>Leverage your intellectual curiosity to understand the company’s underlying business and technical challenges and translating them to into long-term leading and lagging performance indicators that are applicable across business units.</li><li>Leverage analytics and actionable insights to partner directly with the GTM leadership on strategic, organizational, and operational initiatives designed to increase revenue, sales productivity, operational efficiency and forecasting accuracy</li><li>Own and deliver ad-hoc strategic projects for key initiatives that could involve building narratives to drive internal conviction and backing them up with data to validate or negate hypotheses that GTM teams would want to test out for potential new revenue levers</li><li>Work closely with sales team to identify the areas of strengths to capitalize on and opportunities that we are lagging behind on to increase the client and thus revenue for our products</li><li>Establish processes and build products that solve for generating intelligent reports and reduce information overdose while focussing on meaningful consumption of insights within the company</li><li>Communicate your findings to cross-functional peers and management</li><li>Independently collaborate with stakeholders and leaders across various Business units, central strategy, product, sales tech, finance, delivery to align on cross-functional processes that support data integrity and governance &amp; keep improving outcomes and efficiency of initiatives being driven within the unit</li><li>Build models to detect anomalies, investigate and resolve data discrepancies between systems.</li><li>Automate whatever you can!</li></ul>&nbsp;What are we looking for?Skills and Attributes:<ul><li>Gain deep knowledge of many facets of the mobile advertising business such as ad operations, creative services, project management, sales efficiency and productivity</li><li>Quickly grasp external and internal ad tech nuance and leverage to meet business growth</li><li>Develop knowledge of all our data sources and quickly be the go-to-person for extracting and analysing data from these sources.</li><li>Proven ability to wrangle large datasets, extracting insights from data, and summarising learnings / takeaways and drive decision making for various business units leaders</li><li>Ability to learn and adapt to new methodologies for data collection and analysis</li><li>Present insights/findings in a structured manner to directly enable tangible outcomes for stakeholders</li><li>Understand critical interdependencies across functions and divisions, and grasp the short and long-term trade-offs of business decisions.</li><li>Demonstrated aptitude toward Data Storytelling and Root Cause Analysis using data</li><li>Experience with Excel and some dashboarding/data visualisation (i. e. PowerBI,&nbsp;Tableau or similar)</li><li>Experience with SQL/R/Python for data analysis</li><li>3+ years of overall work experience within a Tech/Consulting/Analytics industry</li><li>3+ years of relevant management experience in a business analyst, data analyst or statistical analyst role</li><li>3+ years of work experience with SQL/Python/R, Advanced Excel, any data visualisation tool (Tableau or PowerBI)</li><li>Prior experience within the Adtech industry is a plus</li><li>Should have developed and implemented at least 3 analytics solutions (end to end) which includes translating a business problem into a data analytics problem and providing a sustainable solution</li><li>Trustworthy with high integrity, and ability to maintain appropriate confidentiality</li><li>Patience and stamina to translate long term roadmap into wins and milestones for organizational impact</li><li>Execution-driven and results-oriented to ensure strategy translates to outcomes</li><li>Efficient planning and execution</li><li>Project management abilities: ability to manage long-term (multi-month) integrations, set timelines, and independently drive the process forward.</li><li>Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail</li><li>Plan, prioritise tasks and map stakeholders appropriately</li><li>Excellent written and verbal communication skills</li></ul>

Inmobi Technology Services Pvt Ltd

Business Analyst

Staff Data Scientist I We look for talented Data Scientists who can roll up their sleeves and have direct impact on our company metrics.&nbsp;The performance of our models and experiments are seen astonishingly quickly – the learning loop is not measured in weeks or days, but hours and minutes. We live in what might be the fastest model-learning playgrounds in the world. We have built an infrastructure that enables model deployment at both scale and speed. As data scientists, we sit alongside engineering colleagues who enable our models to deploy. Combine this with our growing variable set of hundreds of potential features (and growing!), and this is a highly fertile environment for building, experimenting, refining and achieving real impact from your models. If models fire, the bottom-line impact to our teams is immediate – you see the value of your work incredibly fast. Who Are You?<ul><li>Our scientists are expected to possess deep expertise and experience in Ad Tech, AI/ML, and Data Science, particularly at scale. Familiarity with big data processing and cloud computing will be critical to succeed in this environment.</li><li>In addition to possessing a mathematical aptitude (Statistics, Probability Theory, Algorithms, Foundations of Machine Learning), they need to be competent with data science languages and tools, such as Python or Apache Spark; which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online. They will also need to work with other engineers to take these solutions to live production and drive real business value.</li><li>Most importantly, we look for a passion to investigate and learn about the world from data, to ask interesting and provocative questions, and be driven to put real models into production that drive real business value.</li><li>We are open to diverse academic backgrounds, providing an intent to think and problem-solve like a data scientist. Our team includes engineers, mathematicians, computer scientists, physicists, economists and social scientists – a rock-star data scientist can come from any academic field.</li></ul> Required:<ul><li>Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's from a reputed College with additional experience.</li><li>7-10 years of work experience in a quantitative field, with model building and validation experience.</li><li>Ad tech related industry experience is a plus. There, you would have applied algorithms and techniques from Machine Learning, Deep Learning and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets.</li><li>Comfortable with software programming and statistical platforms such as R, Python etc. including visualization tools.</li><li>Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus.</li><li>Comfortable collaborating with cross-functional teams.</li><li>Familiarity with challenges of the identity-less world, particularly for iOS and Android&nbsp;</li><li>Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.</li><li>Possess a high degree of curiosity and ability to rapidly learn new areas.</li></ul>&nbsp;What will you do?<ul><li>You will be responsible for leading one or more data science efforts for inMobi DSP, a gold mine that is being explored for riches. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management.</li><li>This will also include designing, development, testing of product experiments.</li><li>You are expected to be a hands-on part of the role where you will also actively analyse data, design and develop models, and solve problems with the rest of the team.</li><li>Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product, Engineering, Data, Infrastructure, and Business teams.&nbsp;</li><li>Our team strives for thought leadership in the sector. We encourage and support all team members to write blogs, commentary and case studies published on the InMobi blog. We also support team members across our MLAI team to speak at industry conferences and represent InMobi’s work.</li><li>You will learn how to design and build models for specific business problems. Even before that, you will be responsible for identifying the problem areas where AI can be applied to best business impact. You will learn to start a model design by anchoring in the business context and end user needs. You will learn how to connect model impact with real and measurable business impact.</li><li>You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management and creative development.</li><li>You will have the opportunity to experiment with multiple algorithms. Enduring learning comes from building, launching and reviewing performance of a particular algorithm; from asking why something worked or why it did not work; from asking how to tailor techniques to fit the problem at hand. We have an environment that makes this possible at speed.</li><li>Importantly, you will learn to become creative in designing models to be successful. Model design is not one-size-fits-all. Our models need to fit our particular problems and be modified to perform. Tougher problems require layers of models, and feedback mechanisms in a dynamic environment such as ours.</li><li>We are a company that innovates and demonstrates our thought leadership to the world, whether in products, research papers or conferences – there are many opportunities for you to shine.</li></ul>

Data Scientist

Machine Learning Engineer We're hiring Machine Learning Engineer Key Skills:• Programming &amp; Scripting (Python, etc.)• Data &amp; Feature Engineering• Monitoring &amp; Logging (Prometheus, Grafana)• Experiment Tracking &amp; Workflow Orchestration (MLflow, Kubeflow, Weights &amp; Biases)• Hands-on with ML Frameworks (TensorFlow, PyTorch, Scikit-learn) Share updated CVs with subject line: Machine Learning Engineer

L&T Technology Services Ltd

Data Annotation Engineer

Cloud Data Science Engineer Senior<h4> Company:</h4>Qualcomm India Private Limited<h4>Job Area:</h4>Engineering Group, Engineering Group &gt; Software EngineeringGeneral Summary:Data Analytics group is responsible for developing, maintaining, and operating automated on-premises and cloud-based solutions for big data pre-labelling, analysis, and visualization. These solutions are utilized by various teams leveraging a diverse technology stack. Team Enrichment, where this position is based, focuses on automated data labelling from our extensive global fleet and creates analytic solutions to address multiple use cases. To enhance our capabilities further, we are seeking a motivated Software Engineer with strong expertise in software engineering and cloud technologies for our Bangalore, India location.Key Responsibilities:· Develop and maintain comprehensive end-to-end data autolabelling pipelines.· Design and implement toolchains for the automatic identification of critical scenarios.· Enhance existing frameworks for statistical scenario analysis, supporting safety aspects related to Autonomous Driving (AD).· Apply creative problem-solving to design new modules that uncover previously unidentified data insights.· Collaborate within a highly motivated, international team that utilizes SAFe as the primary Agile framework for coordinationMinimum Qualifications:• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.· Minimum of 2 to5 years experience in software engineering with substantial exposure to data science and/or data engineering within an industrial context.· Demonstrated experience with cloud platforms such as AWS or Azure.· Several years of experience writing clean, well-documented, reusable Python code.· Solid understanding of standard software development processes, such as code reviews, unit testing, and CI/CD.· Strong analytical, problem-solving, debugging, and optimization abilities.· Experience with cloud-native tools such as API gateways and serverless components· Hands on experience with IAC: CloudFormation, Terraform· Knowledge of SQL and NoSQL databases· Skilled in big data tools including Spark, Hive, Presto, Iceberg, notebooks, and dashboards.· Master’s degree or higher in Computer Science, Data Science, Mathematics, or a related field.Good To Have:· Experience in ADAS/Autonomous Driving sensor software development and testing<div></div>Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail <a href="mailto:disability-accomodations@qualcomm.com" target="_blank">disability-accomodations@qualcomm.com</a> or call Qualcomm's toll-free number found <a href="https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&amp;sysparm_article=KB0039028" target="_blank">here</a>. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact <a href="http://www.qualcomm.com/contact/corporate" target="_blank">Qualcomm Careers</a>.

Qualcomm India Private Limited

Cloud Automation Engineer

Business Analyst [1-2 years]About PhonePe Limited:Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore.  PhonePe’s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company’s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture:At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right  thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you’re excited by the idea of building platforms that touch millions, ideating with some of  the best minds in the country and executing on your dreams with purpose and speed, join us!What kind of person are we looking for?First-principle problem solvers who are passionate about working with data and uncovering the stories that the numbers hide. If you're a curious mind and constantly questions the status-quo, then you'd fit right in with us.What would you get to do in this role?<ul><li>Be an integral part of the pod strategy and will have to define the critical metrics. You'll also monitor performance trends and influence any interventions, based on performance.</li><li>Collaborate closely with the business, and product functions to understand the business problem and translate them into the right analytical problem statement.</li><li>Own the entire insight generation phase and work on deep, thorough analysis to provide unbiased answers on the identified problem statement. These insights and decisions will be influenced based on your presentation of the evidence, backed by data-driven hypothesis. </li><li>Move past just being the "Data person" and contribute with individual thoughts on how to improve the critical metrics for the pod. We love people who think of themselves as the business owner and then goes back to the data to prove or disprove the thought.</li><li>Act as the analytics and visualization SME for the team and ensure that the dashboards are designed and built in a way that makes it easy for the pod to consume the data they need.</li></ul>What do you need to have to apply for this position?<ul><li>Minimum 0.5 to 3 years of analytics experience in relevant roles.</li><li>Strong problem solving &amp; analytical skills.</li><li>Penchant for business &amp; curiosity to understand how the product works.</li><li>Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis.</li><li>Intuition for data and ability to handle big data sources</li><li>Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, QlikView. </li><li>Understanding of data-analysis languages such as R, Python and in core statistical concepts is expected.</li><li>Experience in building ML models is good-to-have, but not mandatory.</li><li>Ability to clearly explain thoughts and ideas either verbally or in the written form.</li><li>Candidates who are able to explain the story behind their analysis will find themselves at an advantage</li></ul>PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)<ul><li>Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance</li><li>Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System</li><li>Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program</li><li>Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy</li><li>Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment </li><li>Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy</li></ul> Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity,  ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of  gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process, <a href="https://docs.google.com/forms/d/e/1FAIpQLSc-ETchy2LsQ_DjlNXOUcGfI182DnA533YZTLfVw5TkJH-Stw/viewform">please fill out this form.</a>Read more about PhonePe<a href="https://www.phonepe.com/blog/"> on our blog</a>.<a href="https://www.phonepe.com/blog/life-at-phonepe/">Life at PhonePe</a><a href="https://www.phonepe.com/press/">PhonePe in the news</a><h4>Experience Level</h4>Mid Level

PhonePe

Agent Insights Analyst (Tableau/PowerBI)Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.What You’ll Do on a Typical Day:<ul><li>Support the Agent Insights Business Managers with their core activities of inspiring change and support them with the additional day to day analytics</li><li>Partner with different teams within the organization such as Traveler Care, Commercial, Product &amp; Technology and Customer Experience teams</li><li>Prioritization: With competing priorities, show ability to prioritize and implement appropriate sets of activities to achieve performance management excellence. Clear distinction between why a set of tasks must be prioritized over others through understanding of cause and effect.</li><li>Creative Thinking: Ability to think creatively to identify and deliver new, innovative analytical projects from existing and existing and new data sources</li><li>Continuous Improvement: Identify opportunities for process optimization, efficiency gains and automation using data-driven insights and technology to drive continuous improvement. Instill and test and learn culture into existing business processes on order to improve overall business performance</li><li>Long term solution oriented: You are confident to share your own ideas and challenge current ways of working, always with a long term solution in mind</li><li>Proactivity: Holistic understanding of agent performance and ability to articulate performance hotspots and issues; Proactively, formulate coaching and performance improvement areas in a methodologically to key stakeholders in a concise and actionable manner.</li><li>Knowledge: Become an expert; be curious and engage business collaborators to learn about what drives Agent Performance.</li></ul>What We’re looking for:<ul><li>Proven experience in complex data analysis and business intelligence roles</li><li>Advanced analytical skills with proficiency in data visualization and statistical analysis tools (e.g., Excel, Access, Alteryx, Power BI, Tableau) as well as robust attention to detail/quality; experience in storytelling from data and/or predictive analytics models</li><li>Bring a Can Do Attitude that is flexible, creative, energetic and collaborative</li><li>Excellent communication skills, with the ability to support Business Manager with the translation of complex data into actionable insights for non-technical collaborators.</li><li>Knowledge of relevant industry standards, regulations, and best practices in performance management and data analytic.</li><li>You are a team player, but you are also able to work independently</li><li>Speak English fluently</li></ul>     LocationBangalore, India     The #TeamGBT ExperienceWork and life: Find your happy medium at Amex GBT.<ul><li>Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.</li><li>Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.</li><li>Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.</li><li>We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.</li><li>And much more!</li></ul>All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.<a href="https://explorer.amexglobalbusinesstravel.com/rs/346-POJ-129/images/Additional%20Disclosures%20in%20Accordance%20with%20the%20LA%20County%20Fair%20Chance%20Ordinance.pdf?version=2" rel="noopener noreferrer" target="_blank">Click Here</a> for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the <a href="https://www.amexglobalbusinesstravel.com/gbt-recruitment-privacy-statement/" rel="noopener noreferrer" target="_blank">Amex GBT Recruitment Privacy Statement</a>.What if I don’t meet every requirement? If you’re passionate about our mission and believe you’d be a phenomenal addition to our team, don’t worry about “checking every box;" please apply anyway. You may be exactly the person we’re looking for!<h4>Experience Level</h4>Senior Level

American Express Global Business Travel

Insurance Analyst

Analyst (T2)<h4>HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.</h4><h4>A Career at HARMAN</h4><h4>As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.</h4> Job DescriptionIntroduction: A Career at HARMAN - Harman Tech Solutions (HTS)We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions.<ul><li>Combine physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs.</li><li>Empower the company to create new digital business models, enter new markets, and improve customer experience.</li></ul>What You NeedBachelor Degree and Fresher or 1-2 years of experience. Experience in Healthcare data analytics environment with appropriate technical skills is preferred.We are looking for a candidate with relevant analytics experience including working with larger datasets with healthcare background as a preference, Basic SQL and Advance Excel skills.Analyst performs complex data analysis independently, preparing comprehensive reports and presentations of data analysis findings for the client or data vendor per established service level agreements. Job functions include inputs to processes, executing programs, assessing data accuracy, drawing research conclusions, and formatting and presenting output. This position is an expert in researching, resolving and documenting client/vendor inquiries. Work in a fast-paced dynamic environment.Willing to work late evening and night shifts including weekendsWhat We Offer<ul><li>Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.)</li><li>Professional development opportunities through HARMAN University’s business and leadership academies.</li><li>Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment.</li><li>An inclusive and diverse work environment that fosters and encourages professional and personal development.</li><li>Tuition reimbursement.</li><li>“Be Brilliant” employee recognition and rewards program.</li></ul>You Belong HereHARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.About HARMAN: Where Innovation Unleashes Next-Level TechnologyEver since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.If you’re ready to innovate and do work that makes a lasting impact, <a href="https://harmanglobal.avature.net/talentcommunity" rel="noopener noreferrer" target="_blank">join our talent community today</a>!HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.<h4>Experience Level</h4>Mid Level

HARMAN India International Pvt Ltd (JBL)

Analyst

Senior MIS Analyst What You’ll Do:<ul><li>Manage and analyze large datasets to support business decisions</li><li>Build and maintain dashboards and reports</li><li>Provide actionable insights through advanced data analysis</li></ul> What We’re Looking For:<ul><li>2+ years&nbsp;of experience in MIS analysis or related fields</li><li>Strong proficiency in&nbsp;Python</li><li>Expertise in&nbsp;SQL&nbsp;for data manipulation and analysis</li><li>Advanced Excel&nbsp;skills for reporting and automation</li><li>Location:&nbsp;Bangalore (Marathahalli)</li></ul> Share your updated resume now.

Blackbuck

MIS Analyst

Manager - Analytics : Quality<h4>Responsibilities &amp; Key Deliverables</h4>Job Title: Manager - Analytics : QualityRole Summary: As a Manager in Analytics focusing on Warranty, you will lead comprehensive analytical initiatives to improve warranty processes and performance within Mahindra Last Mile Mobility Limited. The role involves deep data dive into warranty claims, patterns, and financial impacts to drive informed decision-making and operational enhancements.Key Responsibilities:<ul><li>In-depth Data Analysis: Analyze extensive datasets encompassing warranty claims, product performance, and customer feedback to identify trends, root causes of failures, and opportunities for reduction of warranty costs.</li><li>Warranty Performance Evaluation: Execute detailed evaluations and audits of warranty cases, developing hypotheses and actionable insights to mitigate recurrent issues and enhance product reliability.</li><li>Financial Forecasting &amp; Estimates: Develop and maintain precise cost estimation models related to warranty claims and associated expenditures. Monitor deviations and provide forecasts to support budget planning.</li><li>Quarterly &amp; Ad-Hoc Reporting: Compile and deliver comprehensive reports including Return Goods Authorization (RGA) metrics and other critical KPIs to stakeholders across the organisation.</li><li>MIS and Dashboard Development: Design, implement, and manage Management Information Systems and real-time dashboards that offer transparent visibility into warranty metrics and other analytical parameters for leadership review.</li><li>Cross-Functional Stakeholder Engagement: Collaborate effectively with departments such as Quality Assurance, Engineering, Customer Service, and Finance to ensure alignment on process improvements and issue resolution.</li><li>Continuous Process Improvement: Lead initiatives to refine warranty-related processes leveraging data-driven insights to improve efficiency and reduce operational bottlenecks.</li><li>Team Leadership &amp; Development: Mentor and guide team members fostering an environment of analytical rigor and continuous learning and improvement within the Analytics function.</li></ul>This position plays a critical role in driving warranty analytics that influence product quality, customer satisfaction, and cost management strategies.<h4>Experience</h4>Experience Required:<ul><li>Extensive experience spanning 15 to 20 years within the automotive industry, specifically in companies recognised for manufacturing high-quality four-wheeler vehicles.</li><li>Proven track record of handling warranty analytics, data management, and quality systems associated with premium and best-in-class automotive products.</li><li>Demonstrated ability in managing large datasets, developing actionable insights, and influencing cross-functional teams in complex manufacturing or automotive environments.</li><li>Proficiency in advanced data analysis techniques and software tools relevant to warranty and quality analytics.</li><li>Experience in leadership roles driving continuous improvement and operational excellence initiatives.</li></ul><h4>Industry Preferred</h4>Preferred Industry Background:<ul><li>Automotive manufacturing with a focus on four-wheeler vehicles.</li><li>Experience in warranty management or quality analytics within the automotive sector is highly desirable.</li><li>Familiarity with manufacturing processes, quality assurance, and service operations in an automotive environment.</li><li>Exposure to industrial analytics, product lifecycle management, and warranty cost control practices within automotive or related heavy machinery sectors.</li></ul><h4>Qualifications</h4>Educational Qualifications and Technical Skills:<ul><li>Bachelor of Engineering (B.E.) degree in Mechanical Engineering, Automobile Engineering, Production Engineering, or a closely related field.</li><li>Solid grounding in engineering principles coupled with analytical and quantitative skills.</li><li>Advanced skills in data analytics tools and software such as SQL, Excel, Tableau, Power BI, or similar platforms to develop dashboards and MIS reports.</li><li>Strong proficiency in statistical analysis, root cause analysis, and financial forecasting related to warranty operations.</li><li>Excellent communication and presentation skills to convey complex data insights to diverse stakeholder groups effectively.</li></ul><h4>General Requirements</h4>General Requirements:<ul><li>Exceptional analytical thinking combined with problem-solving aptitude to dissect complex data sets and derive meaningful insights.</li><li>Detail-oriented approach ensuring accuracy in data interpretation and reporting.</li><li>Proven leadership qualities with the ability to mentor team members towards achieving excellence in analytics.</li><li>Effective collaboration skills to engage with multiple functions including engineering, quality, finance and customer service to foster continuous improvements.</li><li>Self-motivated and agile, capable of managing multiple priorities with a keen focus on delivering high-impact results.</li><li>Strong organisational abilities to handle reporting cycles and project deadlines efficiently.</li><li>Willingness and ability to adapt to evolving business needs within a dynamic manufacturing setting.</li></ul><h4>Experience Level</h4>Mid Level

Mahindra And Mahindra Limited

Assistant Manager MIS

Product Analytics EXL is Hiring: Product Analytics Role Experience: 2 to 9 years Requirements:<ul><li>Domain expertise in Product Analytics</li><li>Strong skills in SAS (mandatory)</li><li>Experience in Product Analytics + Banking + SAS</li><li>Immediate joiners preferred (Notice period: Immediate to 60 days)</li></ul> To Apply:Send your updated resume along with the following details: Total years of experienceRelevant years of experienceCurrent organizationCurrent CTCExpected CTCNotice period

EXL Service

Product Lead

Data Science Associate ConsultantData Science: Associate ConsultantExperience: 2.5+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> Data Science: Associate ConsultantExperience: 2.5+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> Data Science: Associate ConsultantExperience: 2.5+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> <h4>Experience Level</h4>Mid Level

Kpmg India Services Llp

Data Science Intern

GCP Data Engineer Skills Required:<ul><li>Expertise in GCP ecosystem – BigQuery, Dataflow, Composer, Pub/Sub, DataProc</li><li>Strong proficiency in Python, PySpark, SQL</li><li>Knowledge of HDFS, Hadoop and large-scale data migration/engineering</li></ul> Responsibilities:<ul><li>Design, build, and optimize data pipelines on GCP</li><li>Lead and deliver end-to-end data engineering &amp; migration projects independently</li><li>Collaborate with stakeholders to build scalable and reliable cloud data solutions</li></ul> Experience: 5+ years Share your updated resume now.

Natobotics

Data Engineer

BI Reporting Analyst-3, GFO Ops Reporting & Analytics - CAO hiringQualifications &amp; Previous Experience (This is a reporting analyst (IC3) role!!)<ul><li>Candidate should have min of 7 to 10 years of overall work experience and at least 3-4 years of BI reporting &amp; operations experience is must!</li><li>Should have complete excel related knowledge such as doing complex look up functions; execution of macros to handle data blending options  </li><li>Should have experience is handling executive ops reporting tasks (Impact Analysis, Provide data Insights, Help decision making via data) </li><li>Should be aware of Cloud BI applications (Mandatory) (such as Oracle BI, OACS Analytics Cloud, Apex Tools, Data Visualization)</li><li>Additional thirdparty BI tools knowledge is an added advantage such as power BI, Alteryx, other data viz tools etc..</li><li>Project management skills (skilled) and ability to lead projects independently</li><li>Candidate should have exposure working using various AI tools (Preferred).</li><li>UAT skills are added advantage (user acceptance testing)</li><li>Should have strong verbal &amp; written communication</li></ul>Knowledge and Experience Essential<ul><li>Strong understanding of Data, Analytics &amp; Reporting principles, cutting-edge technologies, best practices and market trends.</li><li>Ability to distill customer requests and market needs into an innovative product vision, roadmap and set of themes</li><li>Work with globally distributed, remote, and cross-functional teams.</li><li>Ability to distill customer data and present insights as clear and useful business information</li><li>Familiarity with Agile approaches, design, engineering and testing methodologies</li><li>Ability to proactively engage in continuous process improvement</li><li>Structured problem solving and facilitation approaches</li><li>Ability to listen and communicate clearly with different areas of the business and customers</li><li>Clarity of verbal and written communication to unambiguously define goals and plans</li><li>Experience in B2B / Enterprise markets.</li><li>Ability to manage multiple parallel initiatives and stakeholders</li><li>Ability to work with User Experience teams, and have empathy for good design.</li><li>Ability to work with incomplete information, and comfortable with uncertainty</li></ul>#LI-DNI

Oracle Financial Services Software Ltd

Data Analyst

Data Modeller Capgemini is hiring for a Data Modeller role! Experience: 6+ YearsMandatory Skills:• Data Modelling• Data Warehousing• ETL• GCP Cloud

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