- Home
- Remote Jobs
- Technology Integration Specialist
Already filled
Don't miss the next one. Get matching roles delivered to your inbox.
Integrated Resources, Inc ( IRI )
Technology Integration Specialist
Job summary
Work model
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.