Senior Data Insight Analyst - Marketing
Mantle Solutions
We are hiring Senior Data Analysts to lead data analytics and reporting across retail and digital channels by building scalable insights, mentoring analysts, and enabling data-driven decision-making for marketing, sales, and operations.
Experience: 4 - 7 Years
Qualification
Bachelor's or Master's degree in data science, Management, Statistics, Mathematics, Computer Science, Engineering or related fields
Certifications in Data Analytics, Power BI, Tableau, SQL, or Digital Analytics preferred
Job Description
Duties & Responsibilities:
Lead end-to-end analysis of retail, e-commerce, marketing, customer, and operational data to identify growth opportunities, inefficiencies, and risks.
Translate business objectives into analytics frameworks, KPIs, and dashboards aligned to revenue, conversion, footfall, and campaign effectiveness.
Drive marketing performance analysis including campaign ROI, attribution, funnel analysis, and customer segmentation.
Support A/B testing, experimentation, and promotional analysis across online and offline channels.
Own the design, development, and governance of dashboards and automated reports using Excel, Power BI/Tableau, and SQL.
Establish and maintain data definitions, documentation, and SOPs for reporting and analysis.
Lead, mentor, and guide a team of data analysts, reviewing outputs and improving analytical quality.
Work closely and proactively with marketing, performance, category, digital, and operations teams to convert business questions into actionable insights, improvements and recommendations.
Required Skills & Expertise
- 4 - 7 years of experience in data analytics / business intelligence roles
- 2+ years in retail, e-commerce, or marketing-driven environments preferred
- Prior experience leading or mentoring analysts is a strong advantage
- Exposure to omni-channel analytics is a plus.
- Retail and e-commerce performance metrics (sales, margin, inventory, promotions, footfall)
- Marketing and digital analytics concepts (funnels, attribution, CAC, ROAS, LTV)
- Data modeling and reporting best practices
- Understanding of online & offline customer journeys
- Experience working with large, multi-source datasets
- Advanced MS Excel (data modeling, automation, complex formulas)
- Strong Power BI / Tableau dashboard design and storytelling
- Stakeholder management and communication skills
- Team leadership, mentoring, and management capability
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