AMVETS Jobs

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 effective information 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 domain is 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