Business Intelligence Analyst

1 day ago


Kozhikode, Kerala, India Allnessjobs Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Job Title: Business Intelligence Analyst

Location: Kozhikode, Kerala

Experience: 2-6 Year

Role Overview

We are seeking a highly analytical and insights-driven Business Intelligence

Analyst to support strategic decision-making across the organization. You will

be responsible for building dashboards, performing cohort and funnel analysis,

identifying business performance patterns, and providing data-backed

recommendations to leadership. Your insights will directly shape decisions in

Sales, Marketing, Academics, Operations, Product, and Strategy.

Key Responsibilities

Business Reporting & Dashboards

Design, automate, and maintain dashboards (Power BI / Tableau / Dat

Studio) for executive and departmental reporting.

Develop KPI scorecards for Sales, Marketing, Learner Success, Financials,

and Center P&L.

Data Analysis & Insights

Conduct funnel analysis across acquisition → conversion → retention →

completion.

Perform cohort analysis to understand student engagement, academic

outcomes, and learning behavior patterns.

Generate insights on CAC, ARPU, LTV, ROAS, and program profitability.

Decision Support

Present insights with clear storytelling for strategic meetings (Weekly

Monthly, Quarterly reviews).

Run A/B tests for campaigns, pricing models, academic interventions, and

platform feature rollouts.

Work closely with leadership for annual/quarterly planning and forecasting.

Roles 1 Data Management

Ensure accuracy and consistency of data across LMS, CRM, Marketing, and

Finance systems.

Collaborate with IT/Product to refine data pipelines, tagging layers, and

event tracking structures.

Required Skills & Competencies

Bachelor's degree in Statistics, Economics, Data Science, Engineering, o

related field (Master's preferred

4–6 years experience as a Business Intelligence Analyst / Data Analyst

Business Analyst.

Strong expertise in SQL and Advanced Excel / Google Sheets.

Hands-on experience in Power BI, Tableau, or Google Data Studio.

Understanding of Python (Pandas / NumPy) or R for deeper analytic

(preferred).

Experience in analyzing business metrics such as CAC, ROAS, Retention,

DAU/MAU, NPS, Funnel Conversion, Cohorts.

Strong communication and data storytelling ability.



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