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Learning Analytics Jobs in Georgia (NOW HIRING)

Exposure to machine learning, analytics, or IoT use cases in logistics. * Experience supporting enterprise customers with complex requirements. Kaleris is an equal opportunity employer. We celebrate ...

Exposure to machine learning, analytics, or IoT use cases in logistics. * Experience supporting enterprise customers with complex requirements. Kaleris is an equal opportunity employer. We celebrate ...

Associate, Analytics

Atlanta, GA · Hybrid

$80K - $90K/yr

This role is executionfocused, offering strong learning exposure to MMM methodologies, analytical problemsolving, and client-impactful analytics. Job Requirements Bachelor's or Master's degree in ...

Apply statistical, advanced analytics, and machine learning techniques to improve forecast accuracy, identify key variance drivers, and recommend data-driven actions. * Own the Motorsports reporting ...

Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics ... ensemble learning, neural networks etc, and data transformation such as data cleansing and ...

Proficiency with Learning Management Systems (LMS) and HRIS platforms, with strong analytical skills to measure effectiveness and translate data into action. * Exceptional communication, facilitation ...

Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics ... ensemble learning, neural networks etc, and data transformation such as data cleansing and ...

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Learning Analytics information

See Georgia salary details

$18

$33

$51

How much do learning analytics jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for learning analytics in Georgia is $33.37, according to ZipRecruiter salary data. Most workers in this role earn between $24.38 and $36.54 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Learning Analytics position, and why are they important?

To thrive in Learning Analytics, you need strong analytical skills, experience with data analysis, and a background in educational research or instructional design, typically supported by a relevant degree. Familiarity with Learning Management Systems (LMS), statistical tools like R or Python, and certifications in data analytics are commonly expected. Excellent communication skills, problem-solving abilities, and a collaborative mindset help professionals convey insights and work effectively with educators and administrators. These skills are essential for interpreting educational data, driving improvements in teaching and learning, and supporting data-driven decisions in academic environments.

What is a Learning Analytics job?

A Learning Analytics job involves collecting, analyzing, and interpreting data related to learners' performance and educational experiences. Professionals in this field use data-driven insights to improve teaching strategies, personalize learning experiences, and enhance institutional decision-making. They work with various analytical tools, machine learning models, and data visualization techniques to identify patterns and trends. This role is common in educational institutions, corporate training programs, and EdTech companies.

What are typical daily responsibilities for someone working in Learning Analytics?

Professionals in Learning Analytics typically spend their days collecting, cleaning, and analyzing educational data to identify patterns that can improve student outcomes and learning processes. They work closely with faculty, instructional designers, and IT teams to generate reports, visualize trends, and advise on data-backed strategies for curriculum improvement. Day-to-day tasks also involve maintaining data integrity, developing dashboards, and communicating findings in accessible ways to stakeholders. Collaboration and ongoing learning are integral, as the field continually evolves with advances in education technology and analytical methods.

What are the 4 types of learning analytics?

Learning analytics can be categorized into four types: descriptive analytics, which analyze past learning data; diagnostic analytics, which identify reasons for learning outcomes; predictive analytics, which forecast future performance; and prescriptive analytics, which recommend actions to improve learning. These types help educators and analysts understand and enhance educational experiences using data analysis tools and techniques.

Is AI replacing data analysts?

Learning Analytics professionals analyze educational data to improve learning outcomes and often use AI tools to automate data processing and generate insights. While AI can handle routine tasks, data analysts are still essential for interpreting complex data, making strategic decisions, and ensuring data quality. AI complements their work but does not fully replace the need for skilled analysts in the field.

Is 40 too late for data science?

Learning Analytics is a field that values skills and experience over age; many professionals transition into data science at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Age should not be a barrier to entering data-driven roles if you focus on continuous learning and building a strong portfolio.

What does a learning analyst do?

A learning analyst evaluates educational data to improve learning outcomes by analyzing student performance, engagement, and instructional effectiveness. They use data analysis tools and techniques to identify trends and recommend strategies for curriculum development, often working with learning management systems and reporting software.
What are the most commonly searched types of Learning Analytics jobs in Georgia? The most popular types of Learning Analytics jobs in Georgia are:
What cities in Georgia are hiring for Learning Analytics jobs? Cities in Georgia with the most Learning Analytics job openings:
Director, Customer Enablement & Learning

Director, Customer Enablement & Learning

Applied Systems, Inc.

Atlanta, GA

Other

Medical, Dental, Vision, PTO

Posted 22 days ago


Applied Systems rating

8.0

Company rating: 8.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

145th of 261 rated insurance


Job description

Job Description

Amazing Career Moments Happen Here  

Transforming the insurance industry is ambitious, we know. That's why at Applied, we're building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers - all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we're not just redefining what's achievable; we're creating a place where amazing career moments are made possible.  

Position Overview  

We're searching for a Director, Customer Enablement & Learning to join our Activation Services team in remote location. The Director, Customer Enablement & Learning will lead our customer-facing learning organization. This role owns how customers learn, adopt, and become proficient in Applied's software through innovative, customercentric learning experiences that evolve as new technologies emerge and customer needs, maturity, and product capabilities change.

This is a senior leadership role responsible for designing and scaling customer learning experiences that accelerate time to value, reinforce best practices, and drive sustained adoption. We are looking for a leader who understands how adults learn complex software, and who can translate that understanding into learning journeys that meet customers where they are - across roles, maturity levels, and moments in their lifecycle

To keep us headed in the right direction, we're looking for people who understand winning is a team sport, who value and seek to learn from our team's diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun.      

  

What You'll Do

  • Own the strategy and execution for customer enablement and learning across Applied's software portfolio.
  • Lead, develop, and evolve a team currently responsible for private, customer-specific training and scalable virtual group learning programs.
  • Design customer learning journeys that support onboarding, proficiency, advanced usage, and ongoing optimization.
  • Ensure learning experiences are role-based, workflow-oriented, and outcome-driven, not feature-centric.
  • Balance tailored private training with repeatable, scalable virtual learning models that meet customers at different stages of maturity.
  • Partner closely with Onboarding & Success Services leaders, Support, Product, and Sales to align learning experiences to implementation milestones and customer goals.
  • Establish quality standards and expectations for learning design, delivery, and customer experience.
  • Use adoption data, customer feedback, and health indicators to continuously refine learning approaches.
  • Forecast demand and manage capacity to deliver high-quality learning experiences at scale.
  • Serve as a senior leader within Onboarding & Success Services, shaping how customer learning supports broader adoption and success outcomes.

   

We're Excited to Learn More About You  

Your experience may include:

  • 10+ years' experience in customer enablement, customer education, software training, or professional services within a SaaS or technology environment.
  • 5+ years' experience leading and developing teams, including senior individual contributors and managers.
  • Deep understanding of adult learning principles and how people learn complex software in real-world environments.
  • Proven ability to design learning experiences that drive adoption, proficiency, and behavioral change, not just knowledge transfer.
  • Curiosity and comfort experimenting with AI and emerging technologies as tools to enhance how customers learn, without losing focus on human-centered design and outcomes.
  • Strong customer-centric mindset, with a focus on outcomes such as time to value, product usage, and long-term success.
  • Operational rigor - able to define processes, manage capacity, and scale learning programs without sacrificing quality. Ability to analyze and demonstrate impact of programs delivered, with a goal of maximizing impact.
  • Comfort partnering cross-functionally and influencing without direct authority.

You may have other skills or credentials, including:

  • Familiarity with insurance agency workflows and Applied products.

We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply!  

When You Join Team Applied, You Can Expect:  

A culture that values who you are and recognizes that you aren't just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.  

We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.  

A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:  

  • Medical, Dental, and Vision Coverage  
  • Holiday and Vacation Time  
  • Health & Wellness Days  
  • A Bonus Day for Your Birthday  

  Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/   

Our targeted starting base salary in the United States for this position ranges from  $140,000 - $175,000 USD. To determine a new team member's starting pay, we consider a variety of factors, including someone's depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission.  

Your Security Matters:  Our candidates' personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.  

AI Utilization  

We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans.  

EEO Statement  

Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don't discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.  

#LI-Remote  

#LI-US  

Employment Type: OTHER