Data Analyst Commercial Analytics / Data & AI

Data Analyst – Commercial Analytics / Data & AI Experience: 5+ Years Openings: 2 Work Mode: 100% Remote Location: India / Remote Shift: IST Engagement: Contract / Project-Based Joining: Immediate / Short Notice Preferred Role Overview We are looking for an experienced Data Analyst – Commercial Analytics / Data & AI to join a high-impact Data & AI team. The ideal candidate will combine strong advanced SQL, Databricks and/or Amazon Redshift, commercial analytics, and business-to-technical translation skills. You will work closely with Sales, Marketing, Commercial Excellence, Data Engineering, BI, and AI/ML teams to translate complex business requirements into analytical datasets, SQL logic, data-quality validations, dashboards, and actionable business insights. The role requires someone who can independently understand a business process, identify the relevant source data, develop complex SQL, validate analytical results, and communicate findings to both technical and non-technical stakeholders. Key Responsibilities 1. Business Process Translation & SQL Development • Translate commercial processes into analytical requirements and SQL solutions. • Work with processes including: • Sales & Distribution • Go-to-Market (GTM) • Pricing & Promotions • Sales Returns • Rebates & Incentives • Marketing Campaigns • Distributor & Retailer Networks • Develop, optimize, and maintain complex SQL queries, views, and analytical datasets. • Work extensively with Databricks and/or Amazon Redshift. • Build business-ready datasets across Silver and Gold data layers. • Develop SQL logic using: • CTEs • Complex joins • Window functions • Subqueries • Aggregations • Query optimization • Translate business rules into documented technical specifications and SQL logic. 2. Commercial & Sales Analytics • Analyze commercial and sales performance across regional markets. • Work with sell-in and sell-out data. • Analyze: • Sales performance • Pricing effectiveness • Promotions • Rebates • Loyalty programs • Marketing campaigns • Sales targets • Forecasting • Inventory and demand trends • Identify sales gaps, market trends, bottlenecks, and business opportunities. • Develop analytical datasets supporting BI and AI/ML use cases. • Provide actionable insights to Sales, Marketing, and Commercial Excellence stakeholders. 3. Data Quality & Reconciliation • Develop SQL-based data-quality and validation checks. • Reconcile analytical results against source systems. • Investigate data discrepancies, anomalies, and inconsistencies. • Collaborate with Data Engineering teams to improve data pipelines, tables, views, and data models. • Document: • Business rules • Data mappings • Transformations • Data-quality rules • Analytical logic 4. Data Warehousing & Data Modelling • Work with large-scale commercial datasets. • Apply strong knowledge of data warehousing and dimensional modelling. • Understand and work with: • Star schema • Snowflake schema • Fact and dimension tables • Hierarchies • Data transformations • Silver/Gold data layers • Build analytical datasets suitable for BI and AI/ML consumption. 5. Dashboarding & BI • Develop and maintain analytical datasets supporting commercial dashboards. • Work with Qlik Sense/QlikSense for sales and commercial analytics. • Where applicable, integrate Qlik Sense with Databricks or Redshift. • Experience with Power BI or Tableau is an advantage. 6. Stakeholder Collaboration • Work directly with business stakeholders to understand requirements. • Convert business requirements into technical specifications and SQL solutions. • Communicate analytical findings clearly to technical and non-technical audiences. • Collaborate with: • Sales • Marketing • Commercial Excellence • Data Engineering • BI • AI/ML • Business stakeholders Mandatory Skills Candidates must have strong hands-on experience in: • 5+ years of Data Analytics / Data Analyst experience • Advanced SQL • Complex SQL queries including CTEs, joins, window functions, subqueries, and aggregations • Databricks and/or Amazon Redshift • Data warehousing and dimensional modelling • Data validation and reconciliation • Business requirement → technical requirement → SQL translation • Commercial, Sales, or Marketing Analytics • Large-scale datasets and cloud data platforms • Strong stakeholder communication Commercial Domain Experience Strong experience in commercial or sales analytics is required, with exposure to areas such as: • Order-to-Cash (O2C) • Sales & Distribution • Distributor/Retailer Analytics • Pricing • Sales Incentives & Rebates • Promotions • Loyalty Programs • Marketing Campaign Analytics • Sales Targets • Forecasting • Sell-in / Sell-out Analytics Industry Experience – Important Minimum 2 years of relevant industry experience is strongly preferred and may be required based on project needs. Preferred industries include: • Agriculture / AgTech • Crop Protection • Seeds • Agrochemical • Manufacturing • FMCG • Consumer Products • Distributor-driven businesses Candidates with experience working with structured distributor, retailer, dealer, or channel networks will be highly preferred. Source System Experience Working knowledge of commercial data from the following systems is highly preferred: SAP SD • Sales Orders • Deliveries • Billing • Returns • Rebates Salesforce / SFDC • Sales Targets • Business Growth Plans • Customer/Account Data • Special Pricing Additional exposure to digital customer/grower engagement or field-force platforms is an advantage. Good-to-Have Skills • Qlik Sense / QlikSense • Power BI • Tableau • Python • PySpark • Cloud data platforms • AI/ML analytical datasets • Data & AI environments • Experience supporting AI/ML teams with analytical datasets Key Competencies • Strong analytical and problem-solving ability • Advanced SQL capability • Excellent attention to detail • Strong data-quality mindset • Business-to-Technical translation • Commercial mindset • Strong stakeholder management • Ability to investigate and reconcile data discrepancies • Strong documentation and communication skills • Ability to work independently • Ability to manage multiple analytical requirements in a remote environment Ideal Candidate The ideal candidate should be able to independently follow this complete analytical process: Understand Business Process → Identify Source Data → Develop Complex SQL → Build Analytical Dataset → Validate & Reconcile Results → Identify Insights → Deliver Dashboard/BI-Ready Data We are looking for a hands-on Data Analyst with strong technical SQL and cloud data-platform experience, not someone focused primarily on reporting or dashboard creation. Not a Fit For Candidates whose experience is primarily limited to: • Basic reporting • Dashboard development without strong SQL • Excel-only analytics • MIS reporting • Data visualization without data modelling • Basic SQL querying • Non-technical business analysis will not be considered. Engagement Details Role: Data Analyst – Commercial Analytics / Data & AI Experience: 5+ Years Openings: 2 Work Mode: 100% Remote Location: India / Remote Shift: IST Engagement: Contract / Project-Based Industry: Agriculture / AgTech / FMCG / Manufacturing / Distributor-driven businesses Urgent & Fast-Moving Requirement – Immediate/Short Notice candidates preferred.