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Integrated Resources, Inc ( IRI )

Technology Integration Specialist

Job summary

Indianapolis

Work model

Fully remote
Only United States
1 month ago
Job description

L&D Integrator (Technology)

Location: Fully Remote

Duration: 18 Months

Shift & Timing: Monday -- Friday, Regular Business Hours

Updated Pay Range: Upto $69/Hour on W2

Job Description:

The Client Research Laboratories (LRL) Learning and Development (LRL L&D) Contractor, Learning Insights & Data Analytics role supports the implementation, maintenance, and advancement of data visualization dashboards, metrics reporting, and data architecture within L&D. Working closely with the Data Metrics Strategy Lead and Technology Lead, this contractor will leverage modern data analytics and engineering tools to create compelling, story-driven dashboards that demonstrate business impact and support data-driven decision making. This role requires cross-functional collaboration with other Learning and Development groups and technology teams to implement enterprise-wide analytics solutions.

Primary Responsibilities:

Dashboard Development & Maintenance

  • Develop and maintain Power BI dashboards for learning metrics reporting that tell cohesive stories and demonstrate business impact.
  • Design modern, visually compelling metrics dashboards using current data visualization best practices.
  • Support and enhance existing LRL L&D Learning Dashboards in Smartsheet.
  • Ensure dashboard reliability, data accuracy, and optimal performance.
  • Create documentation and user guides for dashboard consumers.

Data Engineering & Architecture Support

  • Maintain and optimize current data technology sources and data pipelines.
  • Support data mapping and data engineering initiatives to build LRL L&D data architecture.
  • Work with Microsoft Fabric to incorporate enterprise data into Power BI solutions.
  • Develop and maintain DAX queries and data models for advanced analytics.
  • Collaborate with enterprise data teams to ensure alignment with organizational data strategies.

Learning Metrics & Analytics

  • Provide data analytics to demonstrate performance outcomes of learning solutions developed within LRL L&D.
  • Support the L&D metrics and course evaluation strategy implementation team with technologies such as SCORM, AICC, and xAPI.
  • Develop metrics frameworks that align with human performance technology principles.
  • Create analytics solutions that support skill-based assessment initiatives and competency tracking.

Technical Consultation & Support

  • Consult with L&D team members on best practices for data visualization and metrics reporting.
  • Provide recommendations for technology-based analytics solutions to enhance learning initiatives.
  • Support key initiatives within the Learning Process and Technology team as assigned.
  • Collaborate with internal teams and IT partners to implement data solutions.

Cross-Functional Collaboration & Learning Technology Support

  • Work closely with the Data Metrics Strategy Lead to align dashboard development with organizational metrics priorities.
  • Collaborate with other Learning and Development groups across Client to implement shared analytics solutions.
  • Partner with enterprise technology teams to ensure alignment with corporate data standards and infrastructure.
  • Support learning technology project implementations by providing analytics expertise and consultation.
  • Leverage LMS reporting capabilities, particularly SuccessFactors Learning, to extract and visualize learning data.

AI-Enabled Analytics Solutions

  • Leverage AI tools (Microsoft Copilot, Claude) to enhance data analysis and reporting capabilities.
  • Develop AI-powered analytics solutions to improve data processing and insights generation.
  • Explore and recommend emerging technologies to enhance learning analytics.

Qualifications:

  • Bachelor's degree or higher in Data Analytics, Data Science, Business Intelligence, Information Systems, Computer Science, or related programs.
  • 3 years demonstrated expertise in Power BI dashboard development including DAX language programming.
  • Experience with modern data engineering tools and practices (Microsoft Fabric, Azure Data Services, or similar).
  • Proven track record designing metrics dashboards that demonstrate business impact.
  • Experience with data modeling, ETL processes, and data architecture principles.
  • Strong portfolio demonstrating ability to create visually compelling, story-driven dashboards.
  • Experience implementing or supporting learning technology projects.

Other Information/Additional Preferences:

  • M.S. degree in Data Science, Analytics, Business Intelligence, or related field.
  • Self-starter with passion for data visualization, analytics, and continual improvement.
  • Experience with LMS reporting and administration, particularly SAP SuccessFactors Learning.
  • Experience with human performance technology tools or skill-based assessment platforms (e.g., Workera).
  • Experience developing solutions with current AI technologies (Copilot, Claude, ChatGPT).
  • Working knowledge of and/or experience in a regulated pharmaceutical environment.
  • Experience with learning analytics technologies such as xAPI, SCORM, or LRS platforms.
  • Demonstrated ability to translate complex data into actionable insights for non-technical stakeholders.
  • Experience with Smartsheet dashboard development.
  • Programming knowledge such as Python, SQL, JavaScript, or R for data analysis.
  • Growth mindset with desire to improve organizational outcomes through data-driven insights.
  • Demonstrated ability to manage multiple projects simultaneously.
  • Effective communication skills with ability to influence without authority.
  • Experience working cross-functionally with multiple teams and stakeholders.

If you are not interested in looking at new opportunities at this time I fully understand. I would in that case be appreciative of any referrals you could provide from your network of friends and colleagues in the industry. We do offer a referral bonus that I'd be happy to extend to you if they turn out to be a great fit for my client.

Thank you for your time and for your consideration. I look forward to hearing from you.