Assistant Manager Data Analytics | Industry Growth & Key Accounts

Role Overview

The role focuses on improving commercial performance, sales productivity, market expansion, and business decision-making through advanced analytics, strategic planning, and cross-functional collaboration.

What You Will Do

Analyze business performance, identify growth opportunities, and provide data-backed recommendations for corrective actions. Develop and maintain interactive dashboards and analytical models to track business KPIs and revenue trends.

Why It Might Be a Fit

Strong analytical thinking, business-oriented mindset, and excellent interpersonal skills are required. Experience in business analytics, commercial planning, and sales performance analytics is preferred.

Requirements

  • Bachelor’s degree in Business Analytics, Data Science, Economics, Finance, Engineering, Computer Science, Business Administration, or a related discipline.
  • MBA or a relevant postgraduate qualification will be preferred.
  • 4–6 years of relevant experience in business analytics, commercial planning, sales performance analytics, business intelligence, business development, or related functions.
  • Strong analytical thinking and structured problem-solving abilities.
  • Business-oriented mindset with the ability to translate data into actionable recommendations.
  • Excellent interpersonal, communication, and presentation skills.
  • Strong stakeholder management and cross-functional coordination skills.
  • Proactive, results-oriented, and commercially focused approach.
  • Strong time management, multitasking, and project management abilities.
  • Attention to detail, data accuracy, and commitment to quality.
  • Advanced Data Analytics: Strong proficiency in Microsoft Excel, including Power Query, Pivot Tables, advanced formulas, and analytical modeling.
  • Business Intelligence: Hands-on experience with Power BI or similar BI tools for data visualization, dashboard development, and KPI reporting.
  • Data Handling: Working knowledge of SQL and/or Python for data extraction, transformation, automation, and analysis will be preferred.
  • Commercial Acumen: Strong understanding of revenue drivers, sales KPIs, customer profitability, sales funnels, and business growth dynamics.
  • Financial & Business Modeling: Ability to perform revenue forecasting, market sizing, ROI calculations, financial analysis, and business case evaluations.
  • Business Development: Understanding of B2B sales, market opportunity assessment, customer segmentation, and go-to-market strategies.
  • Management Reporting: Strong PowerPoint skills with the ability to transform complex data into clear business insights and executive-level presentations.

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To apply for this job please visit linkedin.com.

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