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Open nowPosted 305 days ago

Data Analyst

Scrabble

Where
mumbai, Maharashtra
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Your applicationOpen nowData AnalystScrabble · mumbai, Maharashtra
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Early applications get read.

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Share of postings closed within
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  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 305 days ago

The posting

Key Responsibilities:

  • Client Engagement & Requirement Gathering Conduct discovery workshops with clients to understand business processes, pain points, and integration needs. Document detailed business requirements, user stories, and acceptance criteria. Translate business needs into functional and technical specifications for implementation teams.
  • Solution Design & Documentation Map client workflows to platform capabilities and identify gaps. Collaborate with Solution Specialists and Engineers to design API-driven solutions. Create BRDs, FRDs, process flows, and data mapping documents.
  • Customer Data Requests & Analysis Handle client requests for data extracts, reports, and dashboards in alignment with platform capabilities. Perform data validation, reconciliation, and quality checks to ensure accuracy before delivery. Analyze customer data to identify trends, usage patterns, and actionable insights. Partner with clients to define KPIs and reporting requirements, ensuring alignment with business goals. Work with internal teams to automate recurring data requests where possible.
  • Project Support & Delivery Support project managers in defining scope, timelines, and deliverables. Act as the liaison between client stakeholders and internal technical teams. Validate solutions through UAT planning, test case creation, and defect triage.
  • Cross-functional Collaboration Partner with Product Management to provide client feedback for roadmap planning. Work with Customer Success to ensure smooth handover post-implementation. Support pre-sales teams with solution scoping and proposal inputs when required.
  • Continuous Improvement Identify opportunities to optimize implementation processes and templates. Contribute to internal knowledge bases and best practice playbooks.

Goot to have:

  • Familiarity with tools like JIRA, Confluence, Lucidchart, Miro.
  • Exposure to SQL or BI tools (Tableau, Power BI, Looker, etc.) for data analysis.
  • Knowledge of cloud platforms (AWS, Azure, GCP).
  • Prior experience in client-facing consulting roles.

About The Team

How Data Sutram Fits Perfectly in Your Career Journey:

The founding team brings deep expertise in data science and AI, with all three members from tier-1 engineering institutions and recognised as Forbes 30 Under 30 honorees. Since 2019, they have built Data Sutram into one of India’s most trusted intelligence platforms for financial decisioning.

The CXO team combines startup agility with enterprise discipline, drawing on decades of experience from organisations like Mastercard, PayPal, M2P, TransUnion, and Experian. Backed by Lightspeed, B Capital, and Eduardo Saverin (Co-founder, Facebook), Data Sutram’s teams have built AI products at scale, processing over 200 million identities and delivering outcomes for leading institutions including HDFC Bank, Axis Bank, and top NBFCs.

This unique blend of technical depth, industry credibility, and execution capability positions Data Sutram to tackle global challenges in fraud detection and hyper-personalisation.

Diverse Experiences

We value diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance

We believe great work happens when people are supported both at the office and at home. Flexibility, ownership, and accountability are part of our culture. At Data Sutram, you’ll find the space to push boundaries and innovate, without compromising on personal well-being.

Inclusive Team Culture

Our team thrives on curiosity, collaboration, and diverse perspectives. With colleagues from data

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