JP Morgan Services India Pvt Ltd

Data Visualization & Advanced Analytics - Associate

JP Morgan Services India Pvt Ltd
Mumbai/Bombay
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 5 yearsMin. 5 years

Job Description

Data Visualization & Advanced Analytics - Associate

You are a strategic thinker passionate about data visualization, advanced analytics, and delivering innovative solutions that drive business outcomes. You thrive in a collaborative environment, enjoy solving complex data challenges, and are committed to creating intuitive analytical products that enhance decision-making.

As a Data Visualization & Advanced Analytics Program Management Associate Sr in the Data Visualization & Advanced Analytics team, you will spend each day defining, refining, and delivering analytics solutions that enable business stakeholders to make informed decisions through data, insights, and compelling storytelling.

Job Responsibilities

  • Design, develop, and maintain interactive dashboards and visualizations using modern analytics and reporting platforms.
  • Partner with business stakeholders to understand requirements and translate them into impactful analytical solutions.
  • Conduct discovery sessions to identify business needs and define visualization and reporting strategies.
  • Apply data visualization best practices to create intuitive, accurate, and user-friendly dashboards.
  • Perform data cleansing, transformation, validation, and quality assurance activities to ensure reliable analytics outputs.
  • Develop and enhance analytics solutions utilizing SQL, Python, R, and ETL tools.
  • Optimize dashboard performance, refresh schedules, and data processing workflows for improved user experience.
  • Manage multiple analytics and visualization initiatives concurrently while meeting project timelines and business objectives.
  • Administer data access, permissions, and governance standards while ensuring compliance with data management best practices.
  • Deliver actionable insights through data storytelling, presentations, and business recommendations.
  • Identify opportunities to enhance processes, automate workflows, and implement innovative analytics solutions.

Required Qualifications, Capabilities and Skills

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, Finance, or a related quantitative discipline.
  • 5+ years of experience in data visualization, business intelligence, analytics, or related data-focused roles.
  • Hands-on experience developing dashboards and reports using Tableau, Sigma, or similar visualization tools.
  • Strong proficiency in SQL and experience querying large and complex datasets.
  • Experience using Python or R for data analysis, automation, and advanced analytics.
  • Knowledge of ETL processes and data preparation techniques using platforms such as Alteryx or equivalent tools.
  • Ability to manage and analyze large datasets while applying data quality and validation methodologies.
  • Strong analytical, problem-solving, and critical-thinking capabilities.
  • Excellent written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
  • Experience working in Agile or fast-paced environments with the ability to manage competing priorities.
  • Demonstrated ability to collaborate effectively with cross-functional and geographically distributed teams.

Preferred Qualifications, Capabilities and Skills

  • Master's degree in Analytics, Data Science, Statistics, Business Analytics, Finance, or a related field.
  • Experience with Databricks Dashboards or cloud-based analytics platforms.
  • Knowledge of advanced analytics, predictive modeling, or statistical analysis techniques.
  • Experience supporting financial services, banking, or corporate business functions.
  • Familiarity with data governance, data architecture, and information management practices.
  • Experience implementing automation and process improvement initiatives.
  • Strong storytelling skills with the ability to communicate insights through compelling visualizations and presentations.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Experience Level

Mid Level

Job role

Work location
Work locationMumbai, Maharashtra, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryBusiness Intelligence & Analytics
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 5 years

About company

Name
NameJP Morgan Services India Pvt Ltd
Job posted by JP Morgan Services India Pvt Ltd

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You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

The candidate should have completed the required education and people who have 5 to 31 years are eligible to apply for this job. You can apply for more jobs in Mumbai/Bombay to get hired quickly.

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