Manager - Retail Analytics and Revenue Growth Management

IN_Senior Associate_Modeller_Data & Analytics_Advisory_Gurgaon

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities:

Key Attributes: ü - Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services ü - A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes ü - Work with stakeholders to identify business needs and requirements for data-related projects ü - Strong SQL and/or Python or PySpark knowledge ü - Creating data models that can be used to extract information from various sources & store it in a usable format ü - Optimize data models for performance and efficiency ü - Write SQL queries to support data analysis and reporting ü - Monitor and troubleshoot data pipelines ü - Collaborate with software engineers to design and implement data-driven features ü - Perform root cause analysis on data issues ü - Maintain documentation of the data architecture and ETL processes ü - Identifying opportunities to improve performance by improving database structure or indexing methods ü - Maintaining existing applications by updating existing code or adding new features to meet new requirements ü - Designing and implementing security measures to protect data from unauthorized access or misuse ü - Recommending infrastructure changes to improve capacity or performance ü - Experience in Process industry

Mandatory skill sets:

Data Modelling, AWS, ETL

Preferred skill sets:

Data Modelling, AWS, ETL

Years of experience required:

4-8 Years

Education qualification:

BE, B.Tech, MCA, M.Tech, MBA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Retail Analytics, Snowflake (Platform)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

Experience Level

Senior Level