Role Purpose
As a Data Analyst for the AMEA Data & AI team, you will bridge the gap between
complex agricultural business processes and cloud-based data environments. You will
partner with regional Sales, Marketing, and Commercial Excellence teams to translate
commercial rules, seasonal sales cycles, and distributor structures into accurate, highperforming analytical models. A critical part of this role is the ability to navigate cloud
data platforms, writing advanced, accurate SQL queries to extract and transform data
from Databricks and Amazon Redshift
Key Responsibilities
1. Business Process Translation & SQL Development
• Translate complex commercial business processes (e.g., sales in different
markets with different GTM / GoToMarket strategy, seasonal rebate programs,
sales returns, and marketing campaign performance) into accurate,
documented SQL logic.
• Write, optimize, and maintain complex SQL queries and views directly
within Amazon Redshift or Databricks environments (Gold Layer) to support
visualization and AI/ML teams.




• Map and validate data across disparate systems—such as SAP SD (sales orders,
delivery, billing, rebates, etc), Salesforce (Sales target, Business Growth Plan,
special prices), and digital tools (grower engagement, field force effectiveness
tools)—ensuring the business logic is accurately represented in the data layer.
2. Commercial Analytics & Dashboarding
• Design, build, and maintain robust QlikSense dashboards powered by optimized
Redshift/Databricks data models to track regional commercial KPIs.
• Analyze "sell-in" (sales to distributors) and "sell-out" (sales to retailers/growers)
data to identify market demand trends and potential inventory bottlenecks.
• Conduct ad-hoc deep-dives into sales campaigns, loyalty programs, and
promotional effectiveness to optimize marketing spend ROI.
3. Data Governance & Environment Management
• Collaborate with data engineering teams to optimize data pipelines, tables, and
views in Databricks/Redshi

📌 Data Analyst (India)
🏢 DevRabbit IT Solutions
📍 India