Senior Data Analyst
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ญ๐ฒ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฎ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ญ๐ฒ-๐ฎ๐ฑ ๐๐ฃ๐)
Experience: 3+ yrs
Location: Bengaluru, Karnataka, India
Job Type: Full-time
We are looking for aย Data Analyst / Senior Data Analystย 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.
Requirements
Key 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 asย Tableau, Power BI, and Excel.
- Work extensively withย SQL and relational/non-relational databasesย to retrieve and analyse data.
- Useย Python, R, SQL, and other analytical toolsย 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.
What's Makes You a Great Fit
- 3+ years of experienceย in Data Analytics, Business Analytics, Data Science, or a related field, preferably within a product-driven organisation.
- Bachelor's degree inย Engineering, Economics, Mathematics, Statistics, or a related quantitative discipline.
- Strong analytical and structured-thinking abilities with excellent problem-solving skills.
- Hands-on expertise inย SQL, Python, R, and Excelย 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 withย 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.