Manager Data Science Job in Empower

Empower India s Data Science team is seeking an Assistant Manager who will be responsible for providing in-depth analysis to drive strategic and operational decisions. The ideal candidate will be skilled in identifying business problems, collecting and analyzing data, and producing actionable insights. You will also lead a team of 4-5 Analysts/Sr. Analysts, guiding them through complex projects and analytics initiatives.

Key Responsibilities:

• Problem Understanding & Conversion: Understand complex business challenges and convert them into analytical problems that can be addressed using data science techniques.

• Data Collection & Analysis: Identify data requirements, collect and clean data for analysis, and interpret the results to drive business decisions.

• Insights Generation: Use data modeling techniques, statistical analysis, and machine learning to generate meaningful insights and justify the results within the business context.

• End-to-End Project Management: Independently handle complex projects from initiation to completion, ensuring all aspects of the project are delivered successfully.

• Proactive Opportunity Identification: Identify and drive analytics or data science opportunities that can add value to the business.

• Internal Training & Development: Lead internal training sessions on relevant skills to enhance team capabilities.

• Presentation to Leadership: Present analysis and results to senior leadership, highlighting strategic and operational changes based on data insights.

• BI Reporting & Automation: Generate business intelligence reports and automate their generation processes for improved efficiency.

• Business Needs Prioritization: Collaborate with management to prioritize business and information needs based on data insights.

• Team Management: Manage and mentor a team of 4-5 Analysts/Sr. Analysts, guiding them in their professional development and ensuring project success.

Educational Qualifications:

• Graduate/Post-graduate degree in Business Management, Statistics, Economics, Finance, or a related field.

Required Experience:

• 7-11 years of experience working in analytics, data science, or a related field.

• Experience in data modeling, generating BI reports, and automating report generation.

• People management experience, leading a team of analysts.

• Familiarity with tools such as Google Analytics, Adobe Analytics, and other analytics tools.

• Proven experience in handling end-to-end projects independently.

• Willingness to learn new technologies and statistical techniques in analytics (e.g., Machine Learning, AI, Python, AWS, SAS, Tableau).

Required Skills and Competencies:

• Technical expertise in data modeling, using techniques such as Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, and AI.

• Strong analytical skills to interpret complex business problems, analyze data, and present actionable insights.

• Ability to lead and drive cross-functional projects to successful outcomes.

• Strong communication skills (both written and verbal), with the ability to present findings clearly to senior leadership and stakeholders.

• Good understanding of the US Retirement Industry and its data needs.

• Self-motivation with excellent accountability and ownership skills.

• Excellent team player who can adapt to organizational changes and drive the company s values forward.

What You Will Love About Working Here:

• Flexible Work Environment: Empower offers a flexible work environment, including remote work and flexible hours, ensuring a healthy work-life balance.

• Career Growth: We emphasize career development through internal mobility and skill-building opportunities.

• Purpose and Well-being: We prioritize purpose, well-being, and the work-life balance of our associates, helping them achieve both personal and professional growth.

Diversity & Equal Opportunity:

Empower is an equal opportunity employer. We are committed to diversity and encourage all individuals, regardless of personal characteristics, to apply. All qualified applicants will receive consideration for employment without regard to race, gender, age, religion, sexual orientation, disability, military status, or any other protected status under applicable law.