Temporary Data Engineer Jobs in Indiana (NOW HIRING)

We are seeking a data-driven storyteller to join our team as a Senior Learning Analytics Specialist. In this role, you will bridge the gap between complex data engineering and actionable business strategy. You will be responsible for designing, developing, and maintaining sophisticated visualization solutions that measure the impact of our learning and development initiatives.
The ideal candidate is a Power BI expert with a strong background in data modeling and a passion for human performance technology. You will play a pivotal role in translating learning data from platforms like SAP SuccessFactors and Workera into compelling visual narratives that drive organizational growth in a regulated pharmaceutical environment.
Key Responsibilities
Dashboard Development: Lead the end-to-end design and implementation of high-impact Power BI dashboards, utilizing advanced DAX programming and data modeling.
Data Engineering: Manage ETL processes and architecture using modern tools (Microsoft Fabric/Azure) to ensure data integrity and accessibility.
Learning Ecosystem Integration: Analyze and report on data from LMS platforms (SuccessFactors), LRS environments (xAPI/SCORM), and skill-assessment tools.
Strategic Insight: Translate complex datasets into "story-driven" visualizations that allow non-technical stakeholders to see the direct business impact of learning programs.
Innovation & AI: Leverage current AI technologies (Copilot, ChatGPT) and programming (Python/SQL) to automate workflows and enhance analytical capabilities.
Cross-Functional Collaboration: Partner with global teams and stakeholders to manage multiple projects, influencing data-driven decision-making across the organization.
Qualifications
Minimum Requirements
Education: Bachelor's degree in Data Science, Business Intelligence, Computer Science, or a related field.
Experience: 3+ years of expert-level Power BI development (DAX, Power Query).
Technical Proficiency: Strong grasp of data modeling, ETL, and modern data engineering (Azure/Fabric).
Portfolio: A proven track record of creating visually compelling, business-centric dashboards.
Preferred Skills & Experience
Advanced Education: Master's degree (M.S.) in a specialized analytics field.
Industry Knowledge: Experience in the pharmaceutical industry or a similarly regulated environment.
Learning Tech: Familiarity with xAPI, SCORM, SAP SuccessFactors, and platforms like Workera or Smartsheet.
Programming: Proficiency in SQL, Python, or R.
Soft Skills: Strong "growth mindset" with the ability to influence stakeholders and manage complex, simultaneous projects. Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA