Job description

Description

Key Responsibilities:

Support data, compliance, and environment governance processes for the assigned domain.
Facilitate an intake process for the assigned domain to reduce rework and promote reuse of analytics solutions.
Collaborate with peers to integrate data from warehouses, data lakes, and other source systems to build relevant models for business use.
Cleanse data to ensure report accuracy and reduce data duplication, maintaining documentation of the cleansing process.
Support analytics projects to produce insights for the business to improve decision-making, delivering results using reports, business intelligence technology, or other appropriate mechanisms.
Assist the business in establishing and enforcing guidelines and standards for data collection, integration, and processes.
Support project work to ingest key data for the assigned domain into the data lake, ensuring the creation and maintenance of relevant metadata and data profiles.
Assist stakeholders and business teams with finding necessary and relevant data when available.
Participate in relevant communities of practice promoting the responsible use of analytics.
Coach and assist business users in developing the capability to conduct work in the analytics ecosystem.
Assist with the preparation of communications to leaders and stakeholders.

Responsibilities

Qualifications:

College, university, or equivalent degree in a relevant technical discipline, or relevant equivalent experience required.
This position may require licensing for compliance with export controls or sanctions regulations.

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; determining conclusions relying on knowledge of business or functional frameworks; applying statistics, data validity, data visualization, and problem-solving approaches to extract meaningful patterns and business insights; presenting conclusions and outcomes that enable data-driven business decisions.
Data Mining : Extracting insights from data by identifying relationships and patterns through data exploration and visualization techniques to understand the underlying structure of the data and enable sound conclusions upon model building.
Data Modeling : Creating, writing, and testing data models, test scripts, and build scripts using industry standards and tools, version control, and build and test automation 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 illustrating data visually, including reports and dashboards.
Data Literacy : Expressing data in context, including data sources and constructs, analytical methods, and applied techniques; describing the use-case application and resulting value.
Data Profiling : Assessing data issues and cleansing requirements to perform data extraction, mapping, collection, and testing; establishing good, quality data.
Data Quality : Identifying, understanding, and correcting flaws in data that support effective information governance across operational business processes and decision-making.
Values differences : Recognizing the value that different perspectives and cultures bring to an organization.

Qualifications

Skills:

Technical Skills

Advanced proficiency in Power BI (including DAX and Power Query).
Hands-on experience with Databricks, with a deep understanding of its architecture and related applications.
Advanced Python programming skills.
Advanced SQL skills for querying, performance tuning, and database management.
Expertise in SSAS modeling (tabular and multidimensional).
Deep understanding of applied statistics for data science.

Soft Skills

Strong analytical and problem-solving skills.
Effective communication and team collaboration abilities.
Detail-oriented with a focus on quality and accuracy.

Experience

5–8 years of experience in Analytics, Automation, Software Development, or a related field.

Job Quality

Organization Cummins Inc.

Role Category Remote

Job Type Exempt - Experienced

ReqID 2409180

Relocation Package Yes

Required profile