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Learning Analyst Jobs in New York (NOW HIRING)

Required Qualifications: * 5+ years as a Business Analyst or similar role, preferably within Disability Insurance, FinTech, or a SaaS company leveraging Machine Learning. * Analytical Rigor:

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Learning Analyst information

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$24

$43

$66

How much do learning analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for learning analyst in New York is $43.23, according to ZipRecruiter salary data. Most workers in this role earn between $31.54 and $47.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a learning analyst?

To thrive as a Learning Analyst, you need strong analytical skills, experience with learning measurement methodologies, and a relevant degree in education, data analytics, or a related field. Proficiency in learning management systems (LMS), data visualization tools like Tableau or Power BI, and familiarity with eLearning platforms is typically required. Exceptional communication, attention to detail, and the ability to collaborate with cross-functional teams make a candidate stand out. These skills ensure accurate assessment of learning programs, data-driven improvements, and effective stakeholder engagement to enhance organizational learning outcomes.

How do learning analysts typically collaborate with instructional designers and subject matter experts to enhance training programs?

Learning Analysts often work closely with instructional designers and subject matter experts to ensure training programs are both effective and aligned with organizational goals. They analyze learning data, identify trends in learner performance, and share insights to inform content updates or instructional strategies. Regular meetings and collaborative reviews help ensure the curriculum remains relevant, and Learning Analysts may also provide recommendations for new technologies or assessment methods based on their findings. This cross-functional teamwork is critical for continuous improvement of learning initiatives and delivering measurable results.

Do learning analysts make a lot of money?

Learning analysts typically earn a median salary that varies by industry and experience, with many positions offering competitive pay aligned with data analysis and educational technology skills. Salaries can range from entry-level to senior roles, often supplemented by certifications and advanced training. Overall, the role can be financially rewarding depending on the organization and location.

What does a learning analyst do?

A learning analyst evaluates and improves educational programs and training initiatives by analyzing data on learner performance and engagement. They use tools like learning management systems (LMS) and data analysis software to identify areas for enhancement and support instructional design. Strong analytical skills and knowledge of learning theories are essential for this role.

What are popular job titles related to Learning Analyst jobs in New York?

For Learning Analyst jobs in New York, the most frequently searched job titles are:

Infographic showing various Learning Analyst job openings in New York as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $89,922 per year, or $43.2 per hour.

Business Analyst

EvolutionIQ

New York, NY • On-site

$165/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

About Us: EvolutionIQ's mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.'s Best Workplaces 3 years in a row and Built In's Best Places to work in 2025 and 2026!
As a Business Analyst on the Data Science & Insights team you will translate complex data into clear, actionable insights that drive operational change and measurable client outcomes. You will work with leaders across DS&I and Client Strategy to identify KPIs and develop robust, scalable, and trustworthy reporting to both track historical metrics and inform resulting business strategy.
You will support technical development across the Data Science & Insights portfolio, from writing SQL queries to developing reusable Python tools to creating Looker dashboards. You will help drive the evolution of scalable client analytics, from automated reporting and self-service QBRs to high-impact ROI storytelling, while acting as a trusted analytical advisor across Product, Client Services, Sales, and Data Science. The quality of your insights will directly influence product direction, client retention, and how the business evaluates and prioritizes opportunities.
Key Responsibilities:
  • Report Quality: Review data artifacts to ensure that data transformations are accurate and reporting correctly communicates the metrics in question.
  • Scale Reporting Infrastructure: Build out tooling to scale and automate client reporting, while ensuring data is trustworthy. Support contribution to team's github code repositories with strong Python and SQL skills, with a willingness to learn additional tools like dbt
  • Data Storytelling: Create high-impact visualizations and business cases that demonstrate the ROI of AI integration to our B2B clients.
  • Stakeholder Synthesis: Translate complex model behaviors (e.g., propensity to close, intervention scoring) into actionable insights for claims adjusters and executive leadership through in depth analytics.
  • Requirement Architecture: Collaborate with senior DS&I team members to define "Success Events" for new AI features, ensuring that technical builds align with the Behavioral North Star of the product.

Required Qualifications:
  • 5+ years as a Business Analyst or similar role, preferably within Disability Insurance, FinTech, or a SaaS company leveraging Machine Learning.
  • Analytical Rigor: Proficiency in Python (Pandas, script development), SQL, and data visualization tools (Tableau, PowerBI, Looker) to perform independent "deep dives" into claim performance data.
  • Strategic Communication: Proven ability to explain the "Why" behind an AI recommendation to non-technical users.
  • Domain Expertise: Familiarity with claims management workflows, "duration compression" concepts, and the regulatory landscape of disability insurance is preferred

Work-life, Culture & Perks:
  • Compensation: The base salary range is $165-180K, with flexibility depending on a candidate's background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
  • Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
  • Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
  • Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
  • Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
  • Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.

EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.