Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Skills
Business Intelligence
ML
machine learning
Data Analytics
Digital Analytics
Telecom
Job Details
- Business Intelligence (Bi) Analysis | Data Analytics Professional with experience on ML projects
- Experienced in the field of Data/Digital Analytics, Pull & Interpret Data, Visualization and Reporting in various industries: E-commerce, Retail, Insurance, Finance, Pharmacy, Higher Education and Telecom.
- Progressively worked in companies like Amazon, Blue Cross Blue Shield (BCBS), CVS, Verizon, Kohls IT & eBay.
- Developed and managed Dashboards, Departmental Performance Metrics, Scorecards and Trends, Key Performance Indicators (KPIs)/Key Business Indicators (KBIs) and reporting for various projects.
- Lead discussions with business stakeholders to understand their business objectives, prioritize and resolve complex and ambiguous analytical challenges.
- Developed, automated and optimized reports, dashboards and custom analysis for Sales, Demographic, Web, Providers, Products, Customer and wide categories of data.
- Experienced in developing standard, cost-effective and ad hoc repeatable reporting on a daily, weekly, monthly, quarterly basis.
- Ability to perform deep dive data mining, identifying discrepancies and methodology to portray results in simple, comprehensive and visual manner.
- Liaison and Subject Matter Expert (SME) between Engineering and Product team, Business and clients and served as a POC for all the Analytical needs.
- Followed System Development Life Cycle (SDLC) (Waterfall and Agile) methodology for the design, development, testing, and implementation of various analytical programs and modules.
- Created and maintained Data pipelines to create reporting data marts using AWS DataCentral, ETLM tools; Utilized Web/API data using Web Analytics tools; optimized the technology using tool specific guidelines and further transformation using BI and reporting tools.
- Excellent Verbal and presentation skills to showcase analytical findings, formulate recommendations, and effectively presented the results to potential non-analytic audiences.
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