Analytics - Analyst Level

Functional

- Understand business needs stated for analytical elaborations and navigate datasets to develop and tune high-performance analytics models to be used by analytics team

- Develop, test, and deliver statistical, segmentation, and/or optimization models with stated objectives such as sales or marketing ROI.

- Develop and integrate advanced analytics, predictive analytics and/or decision analytics optimizing marketing efforts.

- Create customized tools such as ones for customer scoring, classifications, campaigns evaluation, and business evaluation reports.

- Provide customer insights and corresponding marketing actions through statistics models, machine learning algorithm and/or optimization models.

Project Management

- Utilize project management, analytical expertise to improve internal performance.

- Manage processes and time lines to facilitate the development, deployment, and enhancements of analytics projects.

- Collaborate with other analysts to define, communicate, and document on project development.

Technical

- Data Analyst must know and use analytical tools such as SAS Enterprise Guide, SAS Enterprise Miner, R within SQL or similar environment for day-to-day operations

- Data Analyst understands the landscape of data inside the organization - OLAP, OLTP and Big Data Infrastructure including the emergent data lake

- Learns and knows current data artifacts (tables, collections, indexes, procedures, users, grants) in all environments across all the different IT databases belonging to the business area

- Knows all data sync (internal and external) and data exchange jobs

- Knows all current rules, constraints, limitations with data models

Experience Level

3 Years and above

If from Premium B Schools/ Engineering Institutions (IITs/ IIMs), Internship itself will fit this requirement

Education

Bachelors in Statistics/ Engineering/ Science from a reputed institution

Masters in Statistics/ Engineering/ Science preferred

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