Data Analyst

Work mode : Remote

Experience : 7 to 11 years

Job Summary :

We are seeking a detail-oriented Data Analyst with strong expertise in SQL, A/B testing, and data visualization tools to support data-driven decision-making across business and research teams. The role involves managing data requests, performing advanced analysis, ensuring data accuracy, and delivering actionable insights while maintaining high standards of data governance and documentation.

Key Responsibilities :

- Write, optimize, and troubleshoot complex SQL queries to extract, transform, and analyze data from multiple sources.

- Design, implement, and evaluate A/B tests, ensuring statistical rigor and actionable outcomes.

- Review incoming data and report requests to assess feasibility, scope, and data availability; escalate issues as needed to appropriate teams.

- Participate in the vetting process of data requests for the Research division to ensure completeness and adherence to policy.

- Gather any additional information needed from requestors to ensure all requirements are met.

- Log and track all data/reporting requests, assigning ownership and ensuring on-time completion and delivery.

- Develop or assist in creating data reporting templates that present data clearly and are user-friendly.

- Coordinate with internal teams (e.g., PAR) for requests that require specialized data handling outside standard processes.

- Maintain up-to-date documentation for recurring reports and processes; update or create new procedures as necessary.

- Respond to internal and external inquiries about data and reports, including hosting webinars or responding via email as needed.

- Adhere to ethical standards and comply with the laws and regulations applicable to your job function.

Preferred candidate profile :

- 5 to 7 years of experience in Data Analysis / Business Analysis / Analytics roles

- Strong proficiency in SQL (advanced queries, joins, window functions, CTEs)

- Hands-on experience in A/B testing and statistical analysis (confidence intervals, p-values, sample size calculation)

- Expertise in data visualization tools such as Power BI, Tableau, Looker, or similar

- Strong analytical and problem-solving skills with attention to detail

- Experience working with large datasets and complex data models

- Ability to translate data into actionable business insights and recommendations

- Excellent communication skills to present insights to both technical and non-technical stakeholders