Sr. Data Analyst

Numerator; India; Remote; INR 7,00,000 - 9,00,000; Full time

Job summary

A leading analytics firm in India is seeking a Sr. Data Analyst to enhance their Product Business Intelligence team. The ideal candidate will have strong SQL skills and 2+ years of experience in data analysis. You will work closely with teams to troubleshoot data quality issues, create actionable reports, and develop dashboards. This role offers a dynamic environment where you can grow your analytics skills and contribute to business decisions.

Qualifications

• 2+ years of experience analyzing granular data or working with analytics technology tools.
• Expert SQL knowledge and familiarity with Python or equivalent scripting languages.
• Strong analytical skills with an ability to identify trends and translate data into actionable insights.

Responsibilities

• Identify and diagnose data quality issues with Retail Data Feeds.
• Provide regular reports and insights supporting operational planning.
• Create and maintain dashboards to ensure timely data delivery.

Skills

SQL

Data analysis

Communication skills

Collaboration

Analytical skills

Education

BS in Analytics, Mathematics, Statistics, Computer Science, Economics, Physics

Tools

Tableau

Looker

Power BI

Job description

Numerator is looking for a Sr. Data Analyst to join our growing Product Business Intelligence team. This is a unique opportunity where you will get a chance to work with an established and rapidly evolving platform that handles millions of requests and massive amounts of events, and other data. In this position, you will be responsible for working to automate, enhance, maintain, and scale services with a focus on our Retail Data Exchange data and its application.

This Sr. Data Analyst position is data analytics-focused, with efforts focusing on exploring datasets, identifying trends, and reporting on key performance indicators centered around RDE data. You will work collaboratively with senior analysts, product managers, and cross-functional teams to monitor data pipeline performance, create dashboards, and provide actionable insights that influence business decisions. This is an excellent opportunity for those eager to grow their analytics skills and contribute meaningfully in a fast-paced environment.

Responsibilities

• Dive into data to help identify and diagnose data quality issues, particularly with regard to Retail Data Feeds, communicating findings and potential production impacts clearly.
• Work with the Data Warehouse team, as needed, to ensure ongoing maintenance and storage of RDE data.
• Assist in identifying areas for analytical improvement and contribute to the implementation of solutions, focused first on RDE
• Provide regular reports and insights that support operational planning and strategy execution.
• Partner with Product, Data, and Engineering teams to investigate product and backend data concerns and contribute to resolution efforts.
• Support senior analysts, product managers and leadership by preparing data analyses that inform business growth initiatives.
• Communicate analytic results and business impacts to both technical and business audiences.
• Secondarily, help create and maintain dashboards and scorecards, ensuring accurate and timely data delivery.

Qualifications

• BS in Analytics, Mathematics, Statistics, Computer Science, Economics, Physics, or other behavioral and/or equivalent quantitative science
• 2+ years of experience analyzing granular data or working with analytics technology tools
• Expert SQL knowledge and familiarity on one of the scripting languages (Python or equivalent) is preferred
• Experience with building or maintaining internal dashboards and reporting tools such as Tableau, Looker, Power BI, or similar platforms
• Demonstrated ability to collaborate effectively within a team, deliver results autonomously, tackle complex problems with sound judgment, and lead or manage projects in a dynamic, fast-changing work environment
• Strong analytical skills with an ability to identify trends and translate data into actionable insights
• Effective communication skills tailored to both technical and non-technical audiences
• Passion for data and curiosity in uncovering meaningful questions and opportunities through analysis