Senior Data Analyst

• 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 and Tasks

• 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).

We offer:

• Official employment, benefits
• Indian business hours and flexible working time
• Professional and ambitious team
• Growth and development prospects in the company where your activity and ambitions will be rewarded!

Join us and be part of a team that is changing the world through technology.

Important Notice Regarding Your Personal Data Security

At *instinctools, we take the security of your personal data very seriously. Please be informed that all official communication, offers, and correspondence from *instinctools are conducted only through our verified company resources, including:

Official Email Domain: @instinctools.com

Company Website: https://www.instinctools.com

Important Reminder:

• instinctools will NEVER ask for sensitive personal or financial information, including:

– Bank account details

– Credit/debit card numbers

– Passwords or PINs

If you receive any suspicious requests claiming to be from *instinctools via unofficial channels (e.g., personal emails, social media DMs, or phone calls), please:

– Do not respond or share any information.

– Report it immediately to [email protected] or your official contact.

Your trust and security are our top priorities. For any questions, always verify through our official channels.

Thank you for your attention and cooperation.