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Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

Empower India Data Science team is looking for an Assistant Manager who is capable of producing in-depth analysis that suggests strategic and operational changes. The ideal candidate will understand the business problem, collect and study relevant data and able to produce meaningful and actionable insights that helps to solve the business problem in hand. On top of that, the candidate should be able to manage a team of 4-5 Analysts/Sr. Analysts

Role Responsibilities:

• Understand the complex business problem, able to convert it as an analytical problem.
• Understand the data need, collect, interpret and clean the data for analysis
• Produce meaningful insights using analytical/data modelling techniques and interpret and justify the results with the business context
• Handle the complex project end-to-end independently
• Identify the opportunities proactively where Analytics/Data Science can help the business and drive the project
• Take internal trainings on relevant skills
• Present the analysis and results to the senior leadership
• Generate BI reports and able to automate them
• Work with management to prioritize business and information needs
• Manage a team of 4-5 Analysts/Sr. Analysts

Educational Qualification:

• Graduate / Post-graduate degree in Business Management/Statistics/Economics/Finance

Required Experience:

• 7-11 years of experience working in analytics, data science or related experience
• Attention to detail, and should be open to learn quickly on new technologies and statistical techniques in analytics like Machine Learning, AI, SAS, AWS, Python, Tableau etc.
• Working experience with tools such as Google Analytics/ Adobe Analytics
• Handling end-to-end projects independently
• People management experience

Required skills and competencies:

• Technical expertise regarding data modelling using statistical techniques, data mining, generate and automate BI reports
• Strong knowledge of and experience with the data modelling techniques like Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, AI.
• Strong analytical skills to be able to understand the complex business problem, collect and analyze the data and able to interpret the results
• Lead and drive cross functional projects
• Strong written and verbal communication skill and be able to present the results to the senior stakeholders
• Good knowledge US Retirement Industry
• Self-motivation, excellent accountability and ownership skills
• Excellent team player
• Adopt the organizational changes and drive the organizational values

People management skills

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract.

We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.