Posted on: 03/02/2026
Description :
We are hiring a Senior Data Analyst with strong expertise in SQL and BI tools to deliver high-impact analytics in the e-commerce and payments domain. This role focuses on transforming complex datasets into actionable insights, building scalable dashboards, and supporting data-driven decision-making for business stakeholders.
Location : Remote
Your Future Employer : A fast-growing AI/ML-driven analytics organization specializing in risk analytics, data enrichment, and advanced data solutions for leading global financial services and fintech clients.
Responsibilities :
- Partner with business stakeholders to understand analytical requirements and reporting needs.
- Design, build, and maintain SQL-based datasets, views, and complex queries.
- Develop and enhance dashboards and reports using Tableau (preferred) or Power BI.
- Support BAU reporting, ad-hoc analysis, and critical projects in the payment domain.
- Analyse trends, anomalies, and opportunities to drive process improvement, cost optimization, and revenue growth.
- Collaborate with data engineering teams to improve data models, quality, and documentation.
- Present insights and recommendations clearly to non-technical stakeholders.
Requirements :
- 5+ years of experience as a Data Analyst / BI / Analytics professional.
- Strong hands-on expertise in SQL (complex joins, CTEs, window functions, performance tuning).
- Experience with Tableau (preferred) or Power BI for dashboarding and reporting.
- Proven experience in the e-commerce domain; fintech/payments exposure preferred.
- Strong communication skills with the ability to translate business needs into data solutions.
What is in it for you : Opportunity to work on high-impact analytics initiatives, collaborate with global stakeholders, leverage modern data stacks, and grow in a fast-paced, innovation-driven environment.
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Posted by
Aayushi Goyal
Analyst -II at CRESCENDO GLOBAL LEADERSHIP HIRING INDIA PRIVATE L
Last Active: 3 Feb 2026
Posted in
Data Analytics & BI
Functional Area
Data Mining / Analysis
Job Code
1608966