Data Analytics Engineer

Job description

Job Title : Data Analytics Engineer

Location : Hyderabad

Experience : 3 Years

Employment Type : Full-time

Joining : Immediate

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

Interested candidates can share cv on ayushi.chouhan@white-force.in