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Learning Analytics Remote Jobs in Lansing, IL (NOW HIRING)

Sales Efficiency & Analytics: Dive into sales data to uncover patterns, optimize pipeline velocity ... Initiative - An ability and passion for learning and asking questions. We will champion you ...

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Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

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Learning Analytics Remote information

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How much do learning analytics remote jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for learning analytics remote in Lansing, IL is $38.56, according to ZipRecruiter salary data. Most workers in this role earn between $28.17 and $42.21 per hour, depending on experience, location, and employer.

What is a Learning Analytics Remote job?

A Learning Analytics Remote job involves analyzing educational data to improve learning outcomes, all while working from a remote location. Professionals in this role use data analysis tools and techniques to track student engagement, performance, and behavior across digital learning platforms. They help educators and institutions make data-driven decisions to enhance teaching strategies and personalize learning experiences. Remote positions in this field offer flexibility and often require strong analytical, communication, and technical skills.

What are some common challenges faced by professionals in a remote learning analytics role, and how can they be addressed?

Professionals in remote learning analytics often encounter challenges such as ensuring clear communication with stakeholders across different time zones and maintaining data privacy when working with sensitive student information. Additionally, accessing and integrating data from various learning platforms can require strong technical skills and problem-solving abilities. Staying proactive with regular virtual check-ins, utilizing secure data management practices, and leveraging collaborative tools can help address these challenges and foster effective teamwork in a remote environment.

What are the key skills and qualifications needed to thrive as a Learning Analytics professional working remotely, and why are they important?

To excel as a Learning Analytics professional in a remote setting, you need strong analytical skills, a background in education or data science, and experience with quantitative and qualitative research methods. Familiarity with learning management systems (LMS), data visualization tools (like Tableau or Power BI), and programming languages such as Python or R is typically required. Excellent communication, time management, and self-motivation are vital soft skills for collaborating with distributed teams and stakeholders. These skills and qualities are essential for interpreting educational data, providing actionable insights, and driving continuous improvement in remote learning environments.
What are popular job titles related to Learning Analytics Remote jobs in Lansing, IL? For Learning Analytics Remote jobs in Lansing, IL, the most frequently searched job titles are:
What cities near Lansing, IL are hiring for Learning Analytics Remote jobs? Cities near Lansing, IL with the most Learning Analytics Remote job openings:

Director, Analytics (Remote)

Inizio Evoke

Chicago, IL โ€ข Remote

Other

Posted 9 days ago


Job description

In the journey of your life, your career should make a difference.

At Inizio Evoke, we come together-to do the best work, in the best possible place. We're all in. Because it's everyone's role to make health more human.

Who We Are

Inizio Evoke is a global health marketing, communications, and transformation platform unlocking growth through data-driven insights and human centricity. We study the 'why' behind health decisions and create creative solutions that inspire meaningful change.

About the roleย 

The Director of Analytics is a senior analytics and marketing science leader responsible for defining and advancing performance measurement strategy across client engagements. You will own the end-to-end performance ecosystem-connecting data, media, technology, and commercial outcomes to deliver a unified and business-driven performance narrative. ย 

You bring deep healthcare marketingย expertiseย and technical command of analytics strategy, statistical modeling, data engineering concepts, visualization, experimentation, and performance measurement across online and offline channels. You partner with Strategy, Media, Creative, Technology, and Client Services to apply advanced analytics to measure marketing effectiveness, and enterprise value.ย ย 

You will balance strategic leadership with technical credibility, operational oversight, and team development.ย ย 

Here'sย whatย you'llย do:ย 

Strategic Leadership & Client Partnershipย 

  • Define and lead analyticsย strategyย across accounts, ensuring understanding of client goals and commercial priorities.ย ย 
  • Serve as senior analytics lead and trusted advisor to clients, influencing investment decisions through data-driven insight.ย ย 
  • Translate businessย objectivesย into structured measurement frameworks with clear KPIs across paid, owned, and earned channelsย 
  • ย Lead analytics strategy in new business pitches and RFPsย 
  • Present performance insights to senior client partners, authority, and strategic perspectiveย inย clear, commercially applicable narratives.ย 
  • Craft compelling storylines that connect analytics outcomes to revenue growth, market share impact, and competitive advantage.ย ย 

Performance Measurement & Marketing Scienceย ย 

  • Develop and oversee advanced measurement frameworks across integrated campaigns, including digital, CRM, media, and offline programs.ย ย 
  • Establish standardized methodologies, baseline metrics, and taxonomies.ย Implement marketing mix modeling (MMM), multi-touch attribution (MTA), incrementality testing, uplift modeling, and geo-based experimentation.ย ย 
  • Ensure rigorous QA processes, documentation standards, and governance protocols across analytics implementations.ย ย 

Data & Technologyย ย 

  • Guideย integration of media platforms, CRM systems, CDPs, ad servers, and third-party healthcare datasets into unified analytics environments.ย ย 
  • Familiarity/ with Use SQL and Python and/or R to interrogate complex datasets andย validateย modeling approaches.ย ย 
  • Advance AI and machine learning capabilities within the analytics practice in partnership with Digital and Technology leadership.ย ย 

Team Leadership & Capability Buildingย ย 

  • Lead, mentor, and scale a high-performing team of analysts and managers, encouraging both technical carefulness and consultative thinking.ย ย 
  • Establish best practices, and scalable frameworks to improve the analytics discipline across the organization.ย ย 
  • Promote a culture of curiosity, accountability, and progress.ย ย 

Market & Industry Leadershipย ย 

  • Monitor latest analytics tools, modeling techniques, AI applications, and marketing technologies.ย ย 
  • Ensure Evokeย remainsย at the forefront of healthcare marketing science and performance measurement development.ย ย 

About youย 

  • 6+ years of experience in marketing analytics, marketing science, or performance measurement, including agency and healthcare industry exposure.ย 
  • Demonstrated experience leading and developing analytics teams (5+ direct/indirect reports preferred).ย 
  • Deep commercial experience in pharmaceutical, biotech, or medical device marketing.ย 
  • Understanding of patient and healthcare provider behavior and healthcare data ecosystems.ย 
  • Experience working with healthcare and clinical data providers (e.g.,Crossix, Komodo, IQVIA, or comparable).
  • Proficiency in SQL and working knowledge of Python and/or R for statistical analysis and modeling. ย 
  • Proficiency with digital analytics platforms (e.g., GA4, Adobe Analytics) and tagging frameworks (e.g., GTM, server-side tracking). ย 

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