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.

instinctools is looking for a Middle Data Analyst for one of our clients.

Location: Bangalore

Work mode: Hybrid (3 days a week in the office)

Working time zone: IST

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 adaptable 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: Owns end-to-end analytical workflows and proactively partners with stakeholders on reporting and insight generation.

Responsibilities and Tasks

- Data Analysis: Own the full cycle of collecting, cleaning, and preprocessing data; independently perform exploratory data analysis to identify trends, patterns, and relationships; apply statistical methods to extract actionable insights and uncover findings that drive business decisions.
- Data Visualization: Independently create and maintain interactive dashboards, charts, and visualizations; develop visually compelling reports using Tableau, Looker Studio, Power BI, or Python libraries.
- Report Generation:



Own regular and ad-hoc reporting end-to-end; proactively partner with stakeholders to define and refine reporting needs and requirements.
- Data Quality and Governance: Ensure data quality and integrity through validation checks and QA processes; adhere to and help enforce data governance policies and best practices.

Qualifications

- Education: Bachelor s degree in a quantitative field; a Master s degree or certification (e.g., in Data Science or Business Analytics) is a plus but not required.
- Experience: 2-4 years as a Data Analyst or equivalent, with a demonstrated track record of independently owning reporting and analysis workflows end-to-end.
- Technical Skills: Strong SQL (CTEs, complex joins, basic query-performance awareness); Python with Pandas and basic plotting libraries (Matplotlib/Seaborn); proficient in at least one BI tool used for production dashboards (Tableau, Looker, or Power BI).
- Domain/Statistics: Understanding of hypothesis testing and basic A/B test design; able to interpret and communicate statistical results to non-technical stakeholders.
- Other: Track record of proactively identifying and proposing data-driven process improvements; comfortable operating with minimal oversight.
- AI Literacy Enablement: AI-driven reporting workflows:



independently integrates AI tools into end-to-end reporting workflows - from data extraction (AI-assisted SQL) to insight narrative (AI-generated summaries) to stakeholder communication.
- AI Literacy Enablement: Advanced prompt engineering: writes complex, multi-step prompts for data transformation, statistical interpretation, and automated commentary generation; iterates prompts to improve output quality.
- AI Literacy Enablement: Scalable AI automation: uses Python-based AI libraries (e.g. OpenAI API, LangChain basics) or no-code AI tools to automate repetitive analytical tasks such as report generation or data cleaning.
- AI Literacy Enablement: AI for cross-functional collaboration: uses AI translation tools to simplify technical findings for non-technical stakeholders; accelerates documentation and slide creation.
- AI Literacy Enablement: Mentoring on AI tools: guides junior analysts on effective and responsible AI tool usage within the team.
- AI Literacy Enablement: AI output governance: applies a structured review process for AI-generated outputs - checks logic, validates against ground truth, and documents AI tool usage per team standards.
- AI Literacy Enablement: Awareness of emerging AI use cases: stays current on AI developments in the analytics/BI space (e.g. AI agents for data analysis, GenAI in BI platforms)
- English: Upper-Intermediate or higher

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.

📌 Middle Data Analyst (Bengaluru)
🏢 Instinctools
📍 Bengaluru