Senior Business Analyst

Darwinbox Digital Solutions Pvt. Ltd.

Bengaluru

On-site

INR 1,800,000 - 2,800,000

Full time

7 days ago
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Job summary

Darwinbox Digital Solutions Pvt. Ltd. is seeking a senior analytics leader to drive advanced analytics, RCA, and business forecasting.

You will mentor a team of data analysts, collaborate with product managers, and translate data insights into actionable features. The role also emphasizes BI engineering, data architecture, and stakeholder management across functions. Your work will focus on optimizing revenue, pricing, and conversion through rigorous analysis, robust data models, and

Qualifications

  • Experience leading advanced analytics, modeling, and RCA on business shifts.
  • Strong SQL optimization, data modeling, and view creation skills.
  • Proven ability to mentor analysts and collaborate with product teams.

Responsibilities

  • Lead Advanced Analytics, Modeling & RCA initiatives and deliver rapid strategic interventions.
  • Apply cohort analysis, funnel tracking and forecasting to predict demand.
  • Build heuristic and predictive models to unlock revenue and efficiency gains.
  • Oversee enterprise Power BI dashboards with complex DAX and data pipelines.
  • Mentor analysts and partner with product, BD and engineering for feature adoption.
  • Drive revenue/pricing optimization and analyze checkout funnels to improve retention.

Skills

Advanced SQL & T-SQL
Python for EDA & ML
Team Leadership
Stakeholder Management

Tools

SSIS
SSAS
SSRS
Power BI
Google Analytics

Job description

Advanced SQL & T-SQL : Expert-level database query optimization, view creation, and deep structured analytical querying

Advanced Programming : Hands-on capability in Python for exploratory data analysis (EDA), hypothesis testing, and implementing fundamental Machine Learning (ML) models

Microsoft BI Stack : Solid foundation across SSIS, SSAS, and SSRS ecosystems

Modern Product Analytics : Experience tracking user behavior via Google Analytics, Google Tag Manager, or clickstream events is highly preferred.

1. Advanced Analytics, Modeling & RCA

Root-Cause Analysis (RCA): Lead complex RCAs on volatile business shifts (e.g., sudden booking drops or cancellation spikes) and deliver quick-turnaround strategic interventions

Rule Based Frameworks: Apply cohort analysis, funnel tracking, and statistical forecasting techniques to predict peak seasonal travel demand

Advanced Decision Models: Build heuristic and predictive data models to unlock alternative ancillary revenue streams and operational efficiencies

2. BI Engineering & Data Architecture Management

Data Visualization Integration: Oversee the construction of enterprise-level Power BI dashboards utilizing complex DAX logic and Power Query to surface executive-level insights

ETL Pipeline Governance: Supervise the development and continuous execution of data pipelines using SSIS, SSAS, or modern data orchestrators

Data Quality Assurance: Maintain ownership over data modeling, transformation structures, SQL views, and procedures to guarantee data validity.

3. Team Leadership & Stakeholder Management

Team Mentorship : Lead, mentor, and define performance benchmarks for a high-performing team of data analysts.

Cross-Functional Collaboration : Act as the primary consultant for Product Managers, Business Development heads, and Engineering teams to transform raw analytics into real feature deployments

4. Strategic Business Drive & Domain Analytics

Revenue & Pricing Optimization: Analyze demand-supply gaps, inventory utilization patterns, and dynamic pricing effectiveness across routes and geographies

Conversion & Funnel Management: Deep-dive into customer checkout cohorts, shopping cart drop-offs, and cancellation bottlenecks to drive user retention

Campaign & Loyalty Analysis: Partner with marketing teams to design, track, and optimize customer rewards and sales promotion campaigns.

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