Sr Data Analyst

Instinctools; Dadri; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

instinctools is seeking a Senior Data Analyst to drive AI-first engineering practices across delivery projects and internal initiatives. The role is based in Noida (office) and requires strong data analytics, SQL, Python, and BI tool skills.

You will lead complex analyses, mentor junior analysts, and collaborate with senior stakeholders to define data strategy, governance, and reporting frameworks.

Qualifications

• Bachelor's in a quantitative field; Master's preferred.
• 4–6 years in data analytics; 1–2 years mentoring or leading workstreams.
• Strong SQL, Python, and BI tool expertise with data governance knowledge.
• Experience with AI tools and ML modeling is a plus.
• Ability to communicate insights to senior stakeholders.

Responsibilities

• Design and lead large-scale analytics projects; align data strategy across teams.
• Develop interactive dashboards and reports for senior stakeholders.
• Conduct statistical analysis and support predictive analytics initiatives.
• Own cross-functional reporting and KPI frameworks.
• Establish and enforce data governance policies and data privacy standards.

Skills

Advanced SQL (Presto/Hive)

Python (Pandas, SciPy/Statsmodels)

Data Visualization

Tableau

Power BI

Looker Studio

Data Governance

Education

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

Tableau

Power BI

Looker Studio

Presto/Hive

Job description

Job Summary

instinctools is a software development company that provides custom software solutions for businesses of all sizes. Our team works closely with clients to understand their specific needs and provide personalized solutions that meet their business requirements.

We are looking for an Senior Data Analyst to join our team and help drive the adoption of AI-first engineering practices across delivery projects, teams, and internal initiatives.

Location: Noida (office)

The client is a dynamic, fast-paced global platform dedicated to reimagining the movement of people and goods in real time. Driven by a relentless mission to facilitate transport, delivery, and flexible earning opportunities, the company has evolved from a ride-hailing service into a comprehensive ecosystem that handles everything from everyday mobility to multi-ton freight, meals, and essential medical supplies. With a strong commitment to continuous innovation, safety, and transparency.

Project Description: Leads complex, large-scale analyses and data strategy initiatives, and mentors junior analysts.

Responsibilities

• Data Analysis Strategy: (Senior) Design and lead large-scale analytics projects independently, aligning data/metric strategy across teams; perform exploratory data analysis to uncover trends, patterns, and insights that drive business decisions; apply advanced statistical methods and techniques to extract actionable, strategic insights.
• Data Visualization: Develop and maintain self-operating, interactive dashboards and reports using visualization tools (e.g., Tableau, Power BI, Looker Studio) to communicate findings to senior stakeholders.
• Statistical Modeling: Conduct statistical analysis and modeling to support predictive analytics and machine learning initiatives.
• Report Generation: Own strategic, cross-functional reporting; work closely with senior stakeholders to define reporting/KPI frameworks.
• Data Quality and Governance: (Senior) Establish and enforce data governance policies, standards, and best practices to maintain data consistency, privacy, and security across the team s work.

Our Expectations of the Candidate

• Education: Bachelor s degree required; Master s degree in a quantitative field preferred.
• Experience: 4-6 years as a Data Analyst or similar analytics role, including at least 1-2 years mentoring junior analysts or leading analysis workstreams on cross-functional projects.
• Technical Skills: Advanced SQL (Presto/Hive, query optimization); Python (Pandas, SciPy/Statsmodels for statistical analysis); advanced BI-tool usage (e.g., calculated fields and LOD expressions in Tableau, custom Looker explores, DAX in Power BI).
• Domain/Statistics: Solid grounding in experimentation design, causal inference concepts (e.g., panel data, propensity score matching), and predictive/ML modeling fundamentals; comfortable partnering with Data Science on model evaluation.
• Leadership: Demonstrated experience mentoring 1-3+ junior/intermediate analysts and managing relationships with senior (Director-level) stakeholders.
• AI Literacy Enablement: Strategic AI integration: champions the use of AI tools across the analytics function; identifies high-impact opportunities to embed AI into existing analytical workflows to reduce cycle time and improve output quality.
• AI-augmented strategy: uses AI tools (e.g. GPT-4, Gemini, Claude) to synthesise large volumes of data, surface non-obvious trends, and draft strategic recommendations for business stakeholders.
• Advanced automation: builds semi-automated analytical pipelines using Python+ AI APIs (e.g. OpenAI, Google Vertex AI) for tasks like anomaly detection, narrative generation, and data storytelling.
• AI experimentation: designs and evaluates A/B test frameworks enhanced by AI-assisted hypothesis generation and result interpretation; uses AI to speed up experimentation cycle.
• Looker/Tableau AI mastery: leverages advanced AI features in BI platforms (e.g. predictive analytics, natural language querying, AI-generated forecasts) as standard practice.
• Data storytelling with AI: uses AI tools to generate compelling, audience-tailored narratives and visualisations from complex datasets; reviews and edits for accuracy and tone.
• Cross-team AI advocacy: acts as an AI literacy resource for junior team members; contributes to team-level AI adoption guidelines.
• AI risk management: proactively identifies and mitigates risks of AI misuse (bias, hallucination, data leakage); ensures all AI-assisted outputs meet Uber s data governance standards.
• English level: Upper-Intermediate or higher

Nice-to-have

• A relevant certification (e.g., Tableau Certified Data Analyst, Google Advanced Data Analytics, an AWS/GCP data certification).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.