About the Role :
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:
EMS tools experience, SAP, Ariba, SQL Server, ETL tool exposure, Microsoft 365 integrations,
More ML/GenAI-focused than analytics + process mining
Key Responsibilities :
Process Mining & Insights :
- Use Celonis EMS (Case-Centric & OCPM) to analyze end-to-end business processes.
- 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 :
- Design, develop, and optimize ETL pipelines to ensure smooth data flow across systems.
- 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 :
- Integrate data from systems such as SAP, Ariba, Snowflake, and other SQL-based platforms.
- 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 :
- Support the setup and execution of data governance frameworks.
- Ensure adherence to enterprise data standards and compliance guidelines.
- Document processes, data flows, business rules, and technical specifications.
Analytics, BI & Reporting :
- Define KPIs, metrics, and performance indicators with stakeholders.
- Develop visual dashboards and analytics reports using BI tools.
- Provide insights for continuous improvement and strategic planning.
Required Skills & Qualifications :
1. Process Mining (Mandatory) :
- 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 :
- Work on enterprise analytics and process excellence projects.
- Exposure to Celonis, Snowflake, and Microsoft automation ecosystem.
- Collaborative work culture with strong learning and career growth opportunities.
interested candidate please share your resume in this email - shruti1whiteforce@gmail.com
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