Data Analyst -PIM

Commergence; Hyderabad; Hybrid; INR 900,000 - 1,400,000; Full time

Benefits offered by this job

Hybrid work model

Global clients exposure

Mentorship program

Career progression

Job summary

Commergence in Hyderabad is seeking a data analyst to extract, clean, transform, and analyze large product data across ERP, PIM, DAM and APIs. You will build dashboards in Power BI and Tableau to monitor health, coverage, and KPIs for internal and client stakeholders.

You will collaborate with data engineers and client teams to validate mappings, automate data validations, and investigate data integrity issues, enabling faster decision making and improved data quality at scale.

Qualifications

• Experience extracting, cleaning, and transforming product data from ERP, PIM, DAM, CSV, and APIs.
• Ability to build dashboards and reports to monitor data health and KPIs.
• Collaborate with data engineers and consultants to validate mappings and resolve data issues.
• Proficiency in Python or SQL to automate validation and reconciliation tasks.

Responsibilities

• Extract, clean, transform, and analyze large volumes of product data from multiple sources to ensure accuracy.
• Build dashboards and reports (Power BI/Tableau) to monitor data health, attribute coverage, workflow bottlenecks, and KPIs.
• Partner with PIM consultants, data engineers, and client success teams to define data requirements and validate mappings.
• Automate routine data validation and reconciliation tasks using Python or SQL scripts to reduce manual effort.

Skills

SQL

Python

Data Cleaning

Data Visualization

PIM Concepts

Tools

Power BI

Tableau

Excel

Job description

Role & Responsibilities

• Extract, clean, transform, and analyze large volumes of product data from multiple sources (ERP, PIM, DAM, CSV, APIs) to ensure consistency, completeness, and accuracy.
• Build and maintain dashboards & reports (using Power BI/Tableau) to monitor product data health, attribute coverage, workflow bottlenecks, and KPIs for internal & client stakeholders.
• Partner with PIM consultants, data engineers, and client success teams to define data requirements, validate mappings, and troubleshoot discrepancies in ingestion and publishing workflows.
• Automate routine data validation and reconciliation tasks using Python or SQL scripts to reduce manual effort and improve efficiency.
• Identify data quality anomalies, propose corrective actions, and document data governance rules to maintain high standards of master data integrity.
• Support product and client teams with ad-hoc analysis—ranging from catalog performance insights to root‑cause investigations for failed data syncs.

Skills & Qualifications

Must-Have

• SQL
• Python (Pandas, NumPy)
• Power BI
• Tableau
• Excel (Advanced Formulas, PivotTables)
• Data Cleaning
• Data Visualization
• PIM Concepts

Preferred

• Experience with SAP PIM, Akeneo, or similar PIM platforms
• Familiarity with e-commerce data models (SKUs, attributes, categories, variants)
• Basic understanding of REST APIs and JSON

Benefits & Culture Highlights

• Hybrid work model with flexible in-office days — balance productivity and personal life.
• Exposure to global enterprise clients and real-world PIM data challenges at scale.
• Fast-growing startup culture with high ownership, mentorship, and rapid career progression.