Data Analyst - India

What you'll be doing:

You have:

• 4-6 years of related work experience

• Demonstrated experience delivering an scalable AI or analytics solution that influenced a business decision, improved a process, or enabled stakeholder self-service beyond manual analysis and/or dashboards.

• Intermediate SQL, relational database skills (Snowflake preferred), strong proficiency with Python, proficiency in BI tools (Tableau), and enterprise data platforms (Salesforce, Excel). Exposure developing and leveraging AI-assisted analytical tools.

• Strong communication, stakeholder management, and data storytelling skills, with experience presenting insights at an executive level.

• Intermediate analytical skills and a passion for data storytelling and quantitative analysis.

• Proficiency in one or more business Intelligence / data visualization tools; Tableau experience highly preferred.

• Experience in the SaaS industry, with functional expertise in business finance metrics (forecasting, GRR, NRR, expansion, commissions, etc.) nice-to-have

• Mentoring skills.

• Strong attention to detail and desire to learn.

• Effective stakeholder management skills and communication skills.

• Experience with Data Governance best practices.

• Effective project management and organizational skills; Agile experience is a plus.

• Experience supporting and working with an FP&A and/or Business Finance team in a fast-paced, unstructured, dynamic environment; Start-up experience a plus.

Bonus Points if You Have:

• Exposure to fintech, SaaS, consumer technology or digital-product environments.
• Experience working directly with stakeholders like finance managers, business leaders, or operations teams.
• Bachelor's degree (or equivalent experience) in Computer Science, Statistics, Informatics, Information Systems, Finance or other finance or quantitative fields.

Behavioral Strengths:

• Self-starter with a bias to action: Takes ownership, moves forward despite ambiguity and does not wait for perfectly defined requirements.

• Outcome orientation: Connects analytical work to measurable business or customer impact.

• Curiosity: Goes beyond the immediate request to understand why a metric moved and what decision should follow.

• Strive for excellence: Continuously improves the quality, scalability and usefulness of analytical solutions.

• Attention to detail: Validates data, assumptions, definitions and results before presenting conclusions.

• Structured problem-solving: Breaks broad business problems into testable components and prioritises the analyses that matter most.

• Clear communication: Explains complex findings simply and adapts the level of detail to the audience.

• Collaborative ownership: Works effectively across functions while remaining personally accountable for delivery.

• Learning agility: Quickly develops working knowledge of new tools, business domains and analytical methods.

What Success Looks Like:

• Independently own analytical problems from problem definition through recommendation.
• Build trusted relationships with business and finance stakeholders.
• Identify and deliver at least one measurable business improvement from analytics, experimentation, AI.
• Reduce recurring manual analysis through automation or reusable analytical assets.
• Improve the velocity and quality of decision-making by presenting clear, evidence-based recommendations.

Shift Schedule:

• Due to the collaborative nature of this role with our global teams, this role will essentially follow "North American Working Hours" so there is direct overlap with our North American teams.

• Specifically, candidates of this role will be required to work 6:00 pm - 3:00 am IST which will include a break.