Role/ Job Title: Senior Data Analyst
Function/ Department: Data & Analytics
Job Purpose:
Senior Data Analyst role is to identify business needs and builds analytical tools and methods. Will also develop test strategies and will ensure delivery outcomes for specific business asks on Data Analytics.
Roles & Responsibilities:
- Ensure traceability and versioning of datasets, models & evaluation pipeline
- Design, prototype, build and maintain APIs for consumption of machine learning models at scale
- Facilitate the development and deployment of POC machine learning systems
- Perform Data cleansing activities such as data cleaning, merging and enrichment etc.
- Perform feature engineering through extracting meaningful features from measured and/or derived data
- Perform exploratory and targeted data analyses to get key insights
- Build Stochastic and Machine learning algorithms that potentially address business problems
- Collaborate on MLOPS life cycle & experience with MLOPS workflows & traceability and versioning of datasets
- Using standard methodologies framework to ensure data quality and reconciliation checks are in place and are transparent to everyone
Key Success Metrics:
- Business outcomes
- Drive revenue growth and profitability responsibly through advanced analytical techniques
- Development of models & tools
- Implementation of models
- Ensure modelling accuracy and enhance modelling efficiency in existing processes using ML outcomes
- Delivering Models as per Business Alignment and expected quality.
- Design & Creation of campaign strategies independently
- Tracking of Models performance as per expectation
Education Qualification:
Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)
Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA), Master of Business Administration (MBA)
Experience Range: 4 to 7 years