Easter Seals Jobs

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