Key Responsibilities and Outcomes (What the Person needs to accomplish in the role ?)
- Understand and ramp up on any domain quickly
- Identify datasets that are relevant for the domain
- Fetch the datasets from multiple (internal/external, paid/open) sources and keep them updated
- Cleanse the incoming data for various inconsistencies
- Load the datasets to analytics/warehouse DB
- Draw relationship between datasets
- Extract insights that are relevant to the business
- Develop reports and analysis that helps the business make decisions on an ongoing manner
- Engineer the KPIs (Key Performance Indicators) for domain and ways to calculate
- Develop dashboards and BI tools around the KPIs for continuous monitoring (using appropriate visualizations)
- Training end users on new reports and dashboards.
- Expose the datasets for LOB (line of business) applications in API format
Qualifications: Education, Competencies (Knowledge, Skills & Behaviour) and Experience
Minimum Qualifications :
- Bachelor's degree from an accredited university or college in computer science.
- 4+ years- Work experience as a data analyst or in related field.
- Ability to work with stakeholders to understand the domain and relevant decisions
- Demonstrated experience in handling large data sets and find correlations/insights in them.
- Ability to code scripts which can fetch, clean, process and analyze the data and the datasets (Python + R)
- High-level written and verbal communication skills.
- Good knowledge and experience with Agile, Clean Code, TDD methodologies
Preferred Qualifications :
- Exposure or knowledge in Renewable Tech companies, IOT, Distributed Systems, Microservices
- Familiarity with working in Internet of Things / Hardware integration
- Familiarity with BI tools like tableau, power bi, Quicksight etc
- Familiarity with analytical solutions like Jupyter with R or Python
- Ability to Analyze data through code
- Ability to build mathematical simulations (numeric)
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