Assistant Manager - Data Analyst - Pune

Role Purpose:

Location: Pune

Working Persona: Hybrid

Experience: 2 to 5 years

Role purpose:

1. Analyze business requirements, plus design, build and extract relevant datasets, and provide insights as per business requirements from Vodafone Local markets to support data driven decision making.
2. Propose data structures to support data solutions that are aligned with Insight and Analytics use cases in scope.
3. Technical development and implementation of Base Semantic data Layer in Local market/Group EDW data landscape hosted on Google cloud. And then delivering SAP Datasphere analytical models on top of it for downstream consumption in SAC.
4. Information delivery to business users as required using Business Intelligence tools and/or other software tools, including SQL and other programming languages.
5. Undertake ad-hoc data analysis and reporting using SQL/Python.

Technical / Professional Expertise

1. Combination of technical and business skills with a minimum of 2-4 years’ technical experience
2. Datawarehousing and Dimensional Modelling –Strong Data warehousing concepts with dimensional modelling exposure
3. Strong database programming knowledge using PL/SQL
4. Knowledge of Analytical model build in SAP Datasphere (DSP)
5. Knowledge of Cloud (GCP) data tools and services will be an added advantage
6. Experienced in Exploratory data analysis using Python/SQL/SAC Data Analyser
7. Experienced at debugging complex code/logic
8. Strong communications skills
9. Knowledge of Telecommunication industry, not essential, but a distinct advantage.

Responsibilities:

1. Data model design and data mapping blueprints for Semantic/Presentation Layers in GCP and Analytical Models in SAP Datasphere (DSP)
2. Enhancements of existing semantic models
3. Report and query outputs generation using SQL, Python, or BI tools like excel, Power BI, SAC Analyser etc.
4. Data validation by applying business rules and providing insights to business.
5. Delivery within agreed timelines with good quality
6. Key accountabilities and decision ownership