Job Role

Senior Data Analyst

Department

Operations

Experience

Minimum 10 years

Location

Mumbai

The candidate would typically detail a role responsible for analyzing large datasets related to pricing, market trends, and competitor activity to develop and optimize pricing strategies, providing data-driven insights to inform key business decisions, often collaborating with sales, marketing, and finance teams to implement pricing changes and maximize profitability.

Preferred candidate:

A candidate with minimum 10 years of experience in data analytics, advanced proficiency in programming languages like SQL, Python, and R, strong data visualization skills using tools like Tableau or Power BI, excellent communication abilities to present findings effectively, and the ability to critically analyze complex data to solve problems and provide actionable insights.

Key Responsibilities:

- Integrate data from various sources to create a comprehensive view of the SMS, Flashcall and Omnichannel performance
- Analyse large datasets to identify trends, patterns, correlations, and anomalies.
- Partner with cross-functional teams to deliver automated reporting and dashboards
- Create data visualizations and reports to present data-driven insights.
- Apply statistical methods and data visualization techniques to present findings.
- Document data analysis processes, methodologies, and results for future reference.
- Collaborate with cross-functional teams to integrate data from different sources/platform and help create a unified view
- Conceptualize and run analyses that generate insights on traffic pattern to help further develop and improve market position.
- (Potentially short term/until platforms harmonization) Supervise a BPO team in charge of suppliers cost management, coach team and support automation of the process

Data analysis and modeling:

- Extract, clean,



and transform complex pricing data from various sources (CRM, sales data, market research).
- Build statistical models and predictive algorithms to forecast pricing impacts on revenue and profitability.
- Analyze customer segmentation data to identify price sensitivity and optimal pricing tiers.

Pricing strategy development:

- Identify market trends and competitor pricing to inform pricing strategy adjustments.
- Develop and evaluate different pricing models (cost-plus, value-based, competitive) based on market analysis.
- Conduct sensitivity analysis to assess the impact of pricing changes on key metrics.

Business collaboration:

- Partner with sales teams to identify pricing opportunities and address customer pricing concerns.
- Collaborate with marketing to align pricing strategies with product positioning and promotions.
- Present data-driven insights and pricing recommendations to senior management.

Reporting and visualization:

- Create comprehensive pricing reports and dashboards to monitor performance and identify areas for improvement.
- Utilize data visualization tools to effectively communicate complex pricing insights to stakeholders.

Skills & Qualification:

Education:

A bachelor’s degree in a relevant field like statistics, computer science or business

Technical skills:

- Advanced proficiency in SQL, data manipulation and analysis tools (e.g., Python, R)
- Experience with statistical modeling techniques (regression analysis, GLM)

Business acumen:

- Robust understanding of pricing theory and market dynamics
- Awareness of business goals and financial metrics relevant to pricing decisions
- Ability to translate data insights into actionable business recommendations

Communication skills:

- Excellent written and verbal communication skills to effectively present complex data analysis to diverse audiences
- Ability to collaborate effectively with cross-functional teams

Email

[email protected]

📌 Senior Data Analyst (India)
🏢 route mobile
📍 India