Data Analyst / Analytics Consultant

Posted Yesterday
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Delhi, Connaught Place, New Delhi, Delhi, IND
In-Office
500K-2M Annually
Mid level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Analyze CPG/FMCG commercial and operational data to generate actionable insights. Build and maintain Power BI dashboards, data models, KPIs, and interactive reports covering pricing, sales, distribution, products, customers, channels, and categories. Prepare and validate data, identify trends and performance gaps, present recommendations to stakeholders, and support data-driven business decisions through ad hoc analysis and reporting improvements.
Summary Generated by Built In

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟴𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱-𝟭𝟴 𝗟𝗣𝗔)

Experience: 4+ yrs

Location: India

Job Type: Full-time

We are looking for an experienced Data Analyst / Analytics Consultant with strong expertise in Power BI, CPG/FMCG analytics, pricing analytics, and distribution analytics. The role focuses on transforming complex commercial and operational data into actionable insights that support pricing, sales, distribution, category, and business decisions.

The ideal candidate will combine strong analytical capabilities with business understanding and hands-on data visualization skills. You will work with large datasets, develop interactive Power BI dashboards, identify commercial trends, and translate analytical findings into clear recommendations for business stakeholders.


Requirements

Key Responsibilities

  • Analyse business and commercial data to generate actionable insights across CPG/FMCG operations.
  • Design, develop, and maintain interactive Power BI dashboards, reports, and analytical solutions.
  • Translate business requirements into meaningful KPIs, metrics, data models, and visualization requirements.
  • Conduct pricing analytics to evaluate price performance, pricing trends, price realization, discounting, and commercial opportunities.
  • Perform distribution analytics to assess distribution reach, availability, outlet/channel performance, geographic coverage, and distribution effectiveness.
  • Analyse sales, revenue, volume, product, customer, channel, and category performance.
  • Identify trends, anomalies, performance gaps, and key business drivers through structured data analysis.
  • Develop dashboards for sales performance, pricing, distribution, product performance, and other commercial KPIs.
  • Work with stakeholders to define analytical questions, reporting requirements, business rules, and success metrics.
  • Perform data preparation, cleansing, transformation, validation, and reconciliation to ensure analytical accuracy.
  • Build appropriate data models and relationships to support scalable Power BI reporting.
  • Develop calculated measures, KPIs, filters, drill-downs, and interactive visualizations in Power BI.
  • Monitor dashboard performance and optimize data models, queries, and reports where required.
  • Combine data from multiple sources to develop comprehensive commercial and operational insights.
  • Present analytical findings and recommendations clearly to business and senior stakeholders.
  • Support business teams in interpreting dashboards and using data for decision-making.
  • Conduct ad-hoc analysis to support pricing, distribution, sales, category, marketing, and strategic initiatives.
  • Maintain documentation for data definitions, reporting logic, KPIs, dashboards, and analytical methodologies.
  • Collaborate with data, technology, sales, marketing, finance, and other cross-functional teams.
  • Continuously identify opportunities to improve reporting automation, analytical processes, and business intelligence capabilities.

What Makes You a Great Fit

  • 4+ years of experience in data analytics, business intelligence, analytics consulting, commercial analytics, or a related field.
  • Strong hands-on expertise in Power BI and enterprise dashboard development.
  • Proven experience in CPG/FMCG analytics, commercial analytics, sales analytics, or consumer business analytics.
  • Strong understanding of pricing analytics, including price realization, pricing performance, discounts, and pricing trends.
  • Hands-on experience with distribution analytics, including distribution coverage, channel performance, availability, and geographic analysis.
  • Strong SQL skills for data extraction, transformation, validation, and analysis.
  • Experience working with large and complex datasets from multiple business sources.
  • Strong understanding of data modelling, data preparation, KPI development, and business reporting.
  • Experience developing Power BI dashboards using DAX, calculated measures, Power Query, data relationships, filters, and drill-downs.
  • Strong analytical and problem-solving skills with the ability to identify business trends and translate them into actionable insights.
  • Ability to understand commercial objectives and connect analytical findings with business outcomes.
  • Strong stakeholder-management and communication skills, with the ability to present complex analysis to non-technical audiences.
  • High attention to detail and strong focus on data accuracy, consistency, and reporting quality.
  • Ability to manage multiple analytical projects and competing priorities independently.
  • Experience with sales, revenue, category, customer, channel, or supply-chain analytics is an advantage.
  • Familiarity with Excel and other data-analysis tools is desirable.
  • Experience with FMCG/CPG sales and distribution datasets, trade promotion analytics, revenue growth management, or category analytics is an advantage.
  • Bachelor's or Master's degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or a related discipline is preferred.

Skills Required

  • 4+ years of experience in data analytics, business intelligence, analytics consulting, commercial analytics, or a related field
  • Strong hands-on expertise in Power BI and enterprise dashboard development
  • Experience in CPG/FMCG analytics, commercial analytics, sales analytics, or consumer business analytics
  • Understanding of pricing analytics, including price realization, pricing performance, discounts, and pricing trends
  • Experience with distribution analytics, including distribution coverage, channel performance, availability, and geographic analysis
  • Strong SQL skills for data extraction, transformation, validation, and analysis
  • Experience working with large and complex datasets from multiple business sources
  • Understanding of data modeling, data preparation, KPI development, and business reporting
  • Experience developing Power BI dashboards using DAX, calculated measures, Power Query, data relationships, filters, and drill-downs
  • Strong analytical and problem-solving skills
  • Ability to identify business trends and translate findings into actionable insights
  • Ability to understand commercial objectives and connect analytical findings with business outcomes
  • Strong stakeholder-management and communication skills
  • Ability to present complex analysis to non-technical audiences
  • High attention to detail and focus on data accuracy, consistency, and reporting quality
  • Ability to manage multiple analytical projects and competing priorities independently
  • Experience with sales, revenue, category, customer, channel, or supply-chain analytics
  • Familiarity with Excel and other data-analysis tools
  • Experience with FMCG/CPG sales and distribution datasets, trade promotion analytics, revenue growth management, or category analytics
  • Bachelor's or Master's degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or a related discipline
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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