Analyze large, complex datasets to generate actionable insights; build statistical and predictive models; automate dashboards and reporting (Tableau/Power BI/Excel); perform data extraction and cleansing using SQL and databases; run experiments; identify trends and anomalies; collaborate with cross-functional teams and data engineering to resolve data-quality issues; and present findings to support business and product decisions.
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟲𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟲-𝟮𝟱 𝗟𝗣𝗔)
Experience: 3+ yrs
Location: Bengaluru, Karnataka, India
Job Type: Full-time
We are looking for a Data Analyst / Senior Data Analyst to turn complex data into meaningful insights that drive business growth and strategic decision-making. This is a high-impact role for someone who enjoys working with large datasets, solving ambiguous business problems, developing analytical models, and communicating insights in a clear, actionable way.
You will work across multiple areas of the business, using data to understand performance, identify opportunities, validate hypotheses, and support better decisions. The role offers significant ownership and the opportunity to work on challenging problems across product, growth, operations, marketing, and customer experience.
RequirementsKey Responsibilities
- Analyse large and complex datasets to solve high-impact business and product problems.
- Translate business requirements into analytical questions, hypotheses, and actionable insights.
- Perform data extraction, cleansing, manipulation, exploratory analysis, and statistical modelling.
- Develop and automate analytics dashboards and reporting using tools such as Tableau, Power BI, and Excel.
- Work extensively with SQL and relational/non-relational databases to retrieve and analyse data.
- Use Python, R, SQL, and other analytical tools to build data models and automate recurring analysis.
- Develop data science and predictive models using appropriate statistical and machine-learning methodologies.
- Conduct experiments and evaluate results to support product and business decisions.
- Identify trends, anomalies, opportunities, and performance gaps through structured data analysis.
- Present complex analytical findings in a concise and business-friendly manner.
- Collaborate with Product, Marketing, Operations, Customer Experience, and other cross-functional teams.
- Partner with Data Engineering teams to resolve data-quality issues and conduct root-cause analysis.
- Continuously improve analytical processes, dashboards, models, and data-driven decision-making practices.
- 3+ years of experience in Data Analytics, Business Analytics, Data Science, or a related field, preferably within a product-driven organisation.
- Bachelor's degree in Engineering, Economics, Mathematics, Statistics, or a related quantitative discipline.
- Strong analytical and structured-thinking abilities with excellent problem-solving skills.
- Hands-on expertise in SQL, Python, R, and Excel for data manipulation and analysis.
- Experience working with large datasets and complex data structures.
- Strong understanding of statistics, experimentation, hypothesis testing, and analytical methodologies.
- Practical experience with Tableau, Power BI, or similar data-visualisation platforms.
- Ability to build analytical models and translate data into clear business recommendations.
- Strong attention to detail and a proactive approach to identifying data issues.
- Excellent communication skills with the ability to work effectively with both technical and non-technical stakeholders.
- A strong ownership mindset and curiosity to continuously explore data, challenge assumptions, and uncover insights.
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