Reporting Analyst Role Overview The Reporting Analyst is responsible for measuring, analysing, and communicating the business value that Mea Platform delivers to our insurance clients. This role transforms raw platform usage data, client operational metrics and Mea operational support data into compelling stories of ROI, efficiency gains, and process improvements that drive renewals, expansions, customer advocacy and operational efficiency for Mea.

Why This Role Exists Now Scale Challenge: With a rapidly growing client list, we need systematic measurement of client success ROI Validation: Fact based proof of value to justify renewals and expand usage Product Insights: Usage data reveals what's working (and what's not) to guide roadmap Sales Enablement: Quantified results from existing clients drive new business Operational Excellence: Data-driven insights help improve support and implementation methodologies Core Responsibilities 1.

Client Value Measurement What: Design and implement measurement frameworks for each client to track mea's impact Define KPIs by process: submission intake, underwriting, claims, bordereaux processing Establish baseline metrics (pre-mea state) and track ongoing performance Calculate ROI metrics: time savings, cost reduction, capacity improvement, revenue impact Create client-specific dashboards showing real-time value delivery Deliverables: Client Value Scorecards (monthly per client) ROI Calculation Models (custom per client) Executive-ready dashboards (Tableau, PowerBI, or similar) Quarterly Business Review (QBR) data packages Annual value realization reports Success Metrics: 100% of clients have active value measurement frameworks QBRs include quantified ROI data (not just usage stats) Client stakeholders can articulate Mea's value in financial terms Renewal conversations lead with "here's what we delivered" data 2. Data Analysis & Insights (30%) What: Analyze platform usage data to identify patterns, trends, and anomalies Investigate drops in usage or adoption issues Identify opportunities for clients to expand usage to recent workflows Benchmark performance across clients (anonymized)



Conduct root cause analysis when expected value isn't being realized Translate technical metrics into business impact Work with QA team to drive accuracy reporting for clients Deliverables: Monthly Usage & Adoption Reports (internal) Client Health Scorecards (red/yellow/green flags) Expansion Opportunity Analysis (which clients should get which new features) Benchmark Reports (how Client A compares to similar implementations) Ad-hoc analysis requests from Customer Success and Product teams 3.

Reporting & Communication What: Create executive-ready presentations for client QBRs Develop case studies with quantified results Produce internal reports for leadership (customer health, product usage, trends) Build reusable templates for consistent reporting Communicate findings to both technical and non-technical audiences Support sales team with proof points and ROI models Deliverables: Quarterly Business Review decks (per client) Case studies for marketing and sales use Monthly leadership dashboard (portfolio health) Client success stories with specific metrics Sales enablement materials (ROI calculators, comparison charts) 4.

Process Improvements & Automation What: Automate repetitive reporting tasks Build self-service dashboards for internal teams Improve data collection processes with clients Standardize metrics definitions across clients Optimize reporting infrastructure and tools Document best practices for value measurement Deliverables: Automated monthly reporting workflows Self-service analytics portal for CSMs and Account Managers Standardized metrics dictionary Data collection process documentation Reporting SLA and quality standards Required Qualifications Insurance Industry Knowledge (Critical) Must Have: 3-5 years working in a similar role in insurance operations, analytics,



or reporting Deep understanding of insurance workflows: underwriting, claims, finance/accounting Familiarity with insurance systems (Guidewire, Duck Creek, applied systems, etc.) Knowledge of insurance KPIs and operational metrics Understanding of insurance business model and value drivers Nice to Have: Experience at multiple carriers (see different operating models) Exposure to insurance consulting or systems implementations Background in process improvement or operational excellence Familiarity with reinsurance operations Technical Skills (Critical) Must Have: Advanced Excel/Google Sheets (pivot tables, complex formulas, data modeling) SQL for querying databases Data visualization tools (Tableau, PowerBI, Looker, or similar) Statistical analysis fundamentals Understanding of APIs and data integration concepts Nice to Have: Python or R for advanced analytics Experience with BI platforms (Snowflake, BigQuery, etc.) ETL/data pipeline knowledge Basic scripting for automation Analytical Skills (Critical) Must Have: Strong quantitative and analytical thinking Ability to identify patterns and trends in data Root cause analysis and problem-solving Translate data into actionable insights ROI and financial modeling capabilities Statistical literacy (averages, distributions, correlations, etc.) Communication Skills (Critical) Must Have: Excellent presentation skills Data storytelling ability (not just showing charts, but explaining "so what?") Written communication (clear, concise reports and documentation) Ability to explain technical concepts to non-technical audiences Comfortable presenting to C-level executives Personal Attributes Must Have: Detail-oriented and quality-focused Self-starter who doesn't need constant direction Intellectual curiosity about why data looks the way it does Customer-centric mindset Collaborative team player Comfortable with ambiguity and building processes from scratch Nice to Have: Experience in startup or high-growth environment Comfort with rapid change and iteration Entrepreneurial mindset Location Bangalore, India

📌 Client Performance Reporting Specialist (Bengaluru)
🏢 mea
📍 Bengaluru