Data Analytics Engineer - SQL/ETL

Description :

We are looking for a Data Analytics Engineer who has strong hands-on experience in process
mining, SQL, ETL, and data integration. The candidate will work closely with various business and technical teams to analyze complete business processes, develop high-quality data models, and support enterprise-wide analytics and governance initiatives.

This role requires someone who is detail-oriented, analytical, collaborative, and capable of translating business requirements into meaningful insights and technical solutions.

Mandatory Skills :

- More ML/GenAI-focused than analytics + process mining

Key Responsibilities :

Process Mining & Insights :

- Identify process gaps, inefficiencies, and improvement opportunities.

- Build and maintain PQL queries, create process data models, and derive actionable insights.

- Create process dashboards and reports that help business teams make informed decisions.

Data Engineering & ETL :

- Maintain high standards of data quality, consistency, and reliability.

- Work with large datasets from multiple enterprise systems.

- Troubleshoot ETL and data integration issues.

Enterprise Systems Integration :

- Work with Microsoft 365 tools including SharePoint, Outlook, Power Automate, and Copilot.

- Collaborate with cross-functional teams to enable data-driven decisions.

Data Governance & Best Practices :

- Ensure adherence to enterprise data standards and compliance guidelines.

- Document processes, data flows, business rules, and technical specifications.

Analytics, BI & Reporting :

- Develop visual dashboards and analytics reports using BI tools.

- Provide insights for continuous improvement and strategic planning.

Required Skills & Qualifications :

- Hands-on experience with Celonis EMS, PQL queries, and process data models.

2. SQL & Databases :

- Strong SQL proficiency, data modeling, ETL, and working with relational databases.

3. ETL & Data Engineering :

- Understanding of ETL development, warehousing concepts, data pipelines, and quality checks.

4. Enterprise Systems Knowledge :

- Awareness of SAP, Ariba, Snowflake, and enterprise data systems.

5. Microsoft 365 & Automation :

- SharePoint, Power Automate, Outlook, and Microsoft Copilot experience.

6. Analytical & Communication Skills :

- Ability to interpret datasets and present clear insights.

- Strong stakeholder management and communication.

7. Bonus Skills :

- BI dashboards, reporting tools, visualization, KPI frameworks.

What We Offer :

- Exposure to Celonis, Snowflake, and Microsoft automation ecosystem.

- Collaborative work culture with strong learning and career growth opportunities.