• Pune
• Cummins India

**DESCRIPTION**

**Key Responsibilities:**


+ **Governance&Compliance:** Support data, compliance, and environment governance processes for the assigned domain.

Facilitate an intake process to reduce rework and promote reuse of analytics solutions.

+ **Data Integration&Cleansing:** Collaborate with peers to integrate data from warehouses, data lakes, and other source systems.

Cleanse data to ensure report accuracy and reduce duplication, maintaining documentation of the cleansing process.

+ **Analytics Projects:** Support analytics projects to produce insights for business decision-making.

Deliver results using reports, business intelligence technology, or other appropriate mechanisms.

+ **Standards&Guidelines:** Support the business in establishing and enforcing guidelines and standards for data collection, integration, and processes.

+ **Data Ingestion:** Support project work to ingest key data into the data lake, ensuring the creation and maintenance of relevant metadata and data profiles.

+ **Stakeholder Assistance:** Assist stakeholders and business teams with finding necessary and relevant data.

Participate in communities of practice promoting the responsible use of analytics.

+ **Training&Communication:** Coach and assist business users in developing capabilities to conduct work in the analytics ecosystem.

Assist with the preparation of communications to leaders and stakeholders.


**Data Analytics&Visualization:**


+ Design, develop, and maintain interactive dashboards and reports using Power BI to provide actionable insights.

+ Create and optimize data models to support visualization and analytics needs.

+ Implement statistical models and techniques to analyze business data and derive meaningful insights.


**ETL&Data Management:**


+ Design and develop ETL pipelines to extract, transform, and load data from various sources.

+ Ensure data accuracy, integrity, and consistency across different platforms.

+ Work with relational databases, writing and optimizing SQL queries for data processing.


**Application Development&Automation:**


+ Develop applications and process automation using Power Apps to streamline business processes.

+ Integrate Power Apps with Power BI, SharePoint, and other enterprise systems.


**Team Leadership&Project Management:**


+ Lead a team of data analysts and data engineers, providing technical guidance and support.

+ Manage project timelines and deliverables, ensuring the successful execution of data-driven initiatives.


**Advanced Analytics&Platform Expertise:**


+ Leverage Databricks and PySpark to perform advanced analytics, build scalable data pipelines, and optimize data workflows.

+ Utilize statistical and machine learning models to solve complex business problems.

+ Explore and implement solutions using low-code/no-code platforms such as Mendix (preferred).


**RESPONSIBILITIES**


**Qualifications:**


+ Bachelor’s degree in Computer Science, Information Technology, or a related field.


**Competencies:**


+ **Collaborates:** Building partnerships and working collaboratively with others to meet shared objectives.

+ **Communicates Effectively:** Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.

+ **Customer Focus:** Building strong customer relationships and delivering customer-centric solutions.

+ **Interpersonal Savvy:** Relating openly and comfortably with diverse groups of people.

+ **Data Analytics:** Discovering, interpreting, and communicating qualitative and quantitative data to enable data-driven business decisions.

+ **Data Mining:** Extracting insights from data by identifying relationships and patterns.

+ **Data Modeling:** Creating, writing, and testing data models to meet business, technical, security, governance, and compliance requirements.

+ **Data Communication and Visualization:** Constructing a narrative of the business problem, root cause, solution options, and opportunities through data visualization.

+ **Data Literacy:** Expressing data in context, including data sources and constructs, analytical methods, and applied techniques.

+ **Data Profiling:** Assessing data issues and cleansing requirements to ensure quality data.

+ **Data Quality:** Identifying, understanding, and correcting flaws in data to support effectiveinformation governance.

+ **Values Differences:** Recognizing the value that different perspectives and cultures bring to an organization.


**QUALIFICATIONS**


**Experience:** 6-8 years of relevant work experience required.

Experience in manufacturing analytics or a related domainis preferred.


**Skills:**


+ **Technical Skills:**

+ Strong knowledge of statistics and experience with statistical models.

+ Hands-on expertise in Power BI, Power Apps, and SQL.

+ Knowledge or experience in Mendix platforms is a plus.

+ Experience in designing and maintaining ETL processes.

+ Knowledge in Databricks and PySpark for data analytics and processing.

+ **Soft Skills:**

+ Strong problem-solving and analytical abilities.

+ Excellent communication and stakeholder management skills.

+ Proven ability to lead a team.


**Job** Quality

**Organization** Cummins Inc.

**Role Category** Remote

**Job Type** Exempt - Experienced

**ReqID** 2412984

**Relocation Package** No