Data Analyst – Boost Tech
📊 Data Analyst Job in Mumbai
Boost Tech is hiring a Data Analyst for its Accounts & Analytics team in an insurance broking environment in Kandivali East, Mumbai.
The role focuses on insurance product and market analysis, competitor and partner analysis, data mining, data validation and generating actionable business insights.
The position is suited to professionals with 2–5 years of experience in analytics, insurance, financial services, data analysis, business research or similar roles.
💼 About the Role
The Data Analyst will work within an Accounts & Analytics team operating in an insurance broking environment.
The position combines data analysis with insurance product research, market research, competitor analysis, partner analysis and business analytics.
A major part of the role involves taking raw information from internal and external sources, validating and organising it, and converting it into insights that can support business and management decisions.
🏦 Insurance Product & Market Analysis
The role involves detailed analysis of insurance products and the wider insurance market.
- Research and analyse insurance products offered by different insurance companies.
- Compare product features, pricing, benefits and exclusions.
- Analyse eligibility criteria and coverage.
- Track changes and updates in insurance products and offerings.
- Conduct comparative analysis across insurance companies and products.
- Identify product gaps, opportunities and competitive advantages.
🤝 Insurance Company & Partner Analysis
The Data Analyst will also support analysis of insurance companies and business partners.
- Analyse and maintain information related to insurance companies and business partners.
- Evaluate partner performance and product portfolios.
- Analyse pricing, processes and service offerings.
- Conduct competitor and market research to understand industry trends.
- Prepare analytical insights to support decisions related to new products and partnerships.
- Identify opportunities for improving existing insurance partnerships.
🔎 Data Mining & Data Analysis
A core component of this Data Analyst position is working with data from multiple internal and external sources.
- Collect and extract data from multiple sources.
- Analyse datasets to identify trends and patterns.
- Perform data mining to identify opportunities and anomalies.
- Clean, validate and organise large datasets.
- Identify relationships and trends within business and insurance data.
- Convert raw data into useful insights for business teams.
📈 Business & Sales Analytics
The role also involves analysing business and sales performance across insurance products and categories.
- Analyse product, LOB and customer-level trends.
- Study sales performance across insurance products and categories.
- Identify high-performing and underperforming products or segments.
- Analyse conversion trends and business volumes.
- Analyse renewal patterns and product penetration.
- Provide data-driven recommendations to improve business performance.
🗄️ Data Management & Accuracy
Data quality and accuracy are important parts of the role. The analyst will maintain structured and reliable information used for business analysis.
- Maintain accurate and updated databases related to insurance companies, products and partners.
- Verify data received from different sources.
- Identify data discrepancies.
- Ensure consistency and accuracy of analytical datasets.
- Develop and maintain structured databases for future analysis and business requirements.
💡 Analytical Support & Business Insights
- Support management and business teams with data-backed insights.
- Conduct ad-hoc analysis based on business requirements.
- Create analytical models where required.
- Build comparison sheets and dashboards.
- Present key findings and recommendations in a simple and understandable manner.
- Identify opportunities where data can improve business decisions.
🧠 Required Skills
The position requires strong analytical and research capabilities, along with the ability to work with large datasets and business information.
📊 Excel & Google Sheets
Strong MS Excel / Google Sheets skills are specifically required for this position.
The analyst should be comfortable working with large amounts of information, comparing datasets, preparing analytical reports and converting spreadsheet-based data into useful business insights.
💻 Power BI & SQL
Knowledge of Power BI, SQL or other data analytics tools is listed as an advantage for this role.
Power BI knowledge can be useful for creating dashboards and presenting business insights, while SQL can support data extraction and analysis from structured data sources.
🗣️ Communication & Presentation
This position is not purely technical. The analyst is expected to communicate findings and recommendations clearly to business and management teams.
- Strong communication skills.
- Good presentation skills.
- Ability to explain analytical findings clearly.
- Strong attention to detail.
- Ability to translate data into business insights.
🎓 Preferred Candidate Profile
The listing indicates that candidates with a graduate background in the following areas may be relevant:
Candidates with 2–5 years of experience in analytics, insurance, financial services, data analysis, business research or similar roles are listed as the preferred profile.
🏦 Industry Experience Advantage
Experience in an insurance company, insurance broker, fintech or financial services organisation is preferred according to the listing.
Candidates should also be comfortable working independently with large amounts of data and conducting detailed research.
💡 Career Insight
This is a good example of a Data Analyst role where business understanding is as important as technical skills. Strong Excel, analytical thinking, research capability and communication are central to the position, while Power BI and SQL can strengthen your profile.
📋 Quick Job Summary
- Company: Boost Tech
- Role: Data Analyst
- Location: Kandivali East, Mumbai, Maharashtra
- Salary: ₹6,00,000–₹6,50,000 per year
- Experience: 2–5 Years
- Job Type: Full-time
- Work Location: In person
- Benefit: Food provided
- Key Skills: Excel, Google Sheets, Data Analysis, Data Mining
- Advantage: Power BI, SQL
- Industry Advantage: Insurance, Insurance Broking, Fintech or Financial Services
🚀 How to Apply
If you have 2–5 years of experience and are interested in Data Analyst jobs in Mumbai, review the requirements carefully before applying.
Candidates with strong Excel, data analysis, research and business analytics experience may find this opportunity particularly relevant.
🚀 Apply for Data Analyst Job →Ready to Apply?
Boost Tech is hiring a Data Analyst in Kandivali East, Mumbai. Review the requirements and apply if the role matches your experience.
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