Analytics Manager
7 months ago
Company Overview and Culture
For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change. The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses.
**Analytics Manager Responsibilities**:
- Solve business problem using data driven solution - understand problem statement, structure solution from both business and technical perspective and present outcome to end users (both technical and non-technical)
- Obsess to achieve client satisfaction
- Provide thought leadership and manage Data Science, Engineering and Analytics projects end to end (idea to deployment to action)
- Manage team - plan work, provide guidance and manage professional development
- Support analytics, engineering, BI and data science work hands-on from time-to-time
- Manage engagement with client: Track concerns, opportunities, and provide updates and status back to stakeholders. Work with leadership, operations, sales and others to ensure requests follow the proper evaluation process. Communicate project decisions to relevant constituents
**Analytics Manager Requirements**:
- 5+ years of working and managing Analytics, Data Science and Engineering problems
- Experience of working in a consulting setup is preferred but not necessary
- Degree in Computer Engineering, Statistics, Mathematics or any engineering field. MBA is a plus.
- Expertise in one or more programming languages: Python or R with extensive knowledge of SQL. Familiarity with BigData using tools (like HQL, PySpark, etc.) is preferred
- Experience of building models using commonly modeling/machine learning algorithms in non-academic setup (like Regression, clustering, CNN, GBM, LDA, LSTM, etc.) is preferred
- Knowledge of engineering processes and deployment lifecycle for modeling/complex analytics projects is necessary
- Exceptional interpersonal skills, Analytical mindset, Attention to Detail are a mustEEO/Minorities/Females/Vets/Disabilities
**Base Salary Range Disclaimer**: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.
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