Data Analyst.

Job description

Required Experience :


- Build Product Analytics and Marketing Analytics dashboards on the top of internal and external data-source for self-service analytics.

- Designing micro-experience funnels and performing Funnel Analysis that shall help us make improvements in conversions, drop-offs, bottlenecks, etc.

- Devise and evaluate methods to acquire data from external sources to measure and track competitive edge.

- Responsible for tracking, reporting, and analyzing the performance of marketing activities, ad-hoc analytic requests, and development/automation of regular reports.

- Analyzes A/B and Multivariate tests, communicates results, and provides recommendations.

- Use statistical techniques to interpret data and understand trends and patterns that could be valuable for diagnostic and predictive analytics efforts.

- Assist in maintaining the data warehouse and modifying it as per the analytics requirement.

- Assist in streamlining and automation of data pipelines to ensure rapid turnaround time for analytics.

Job requirements

Required Skills :


- Strong numerical and analytical skills with the ability to interpret large data sets.

- Proficient in SQL and Python and/or R with the ability to learn other analytic tools.

- Proficient in Excel and any BI reporting tools (Power BI, Tableau, Superset, etc).

- Good understanding of basic probability and statistics.

- Good understanding of data-warehousing with Redshift and/or Bigquery.

- Experience in Google Analytics would be a plus.

- Experience in product analytics tools such as Amplitude, Clevertap, or MoEngage would be a plus.

- Experience in ETL and data modeling would be a plus.

- Prior experience in web crawling and scraping would be an added advantage.

Candidates with Experience or interest in Trading (in any asset class) shall be preferred