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Talent Analytics Jobs (NOW HIRING)

The Senior Manager, Talent Analytics leads the end-to-end delivery of analytics products, translating prioritized business needs into scalable, high-quality solutions. In parallel, the role partners ...

Talent Analytics Sr Analyst (Location Flexible)

Omaha, NE · On-site

$84K - $111K/yr

Join our Talent Analytics team within the Talent Technology Center of Excellence. Here, you will be instrumental in leveraging predictive analytics to transform how we understand and manage talent ...

Talent Analytics Sr Analyst (Location Flexible)

Dallas, TX · On-site

$87K - $115K/yr

Join our Talent Analytics team within the Talent Technology Center of Excellence. Here, you will be instrumental in leveraging predictive analytics to transform how we understand and manage talent ...

Talent Analytics Sr Analyst (Location Flexible)

Tampa, FL · On-site

$83K - $110K/yr

Join our Talent Analytics team within the Talent Technology Center of Excellence. Here, you will be instrumental in leveraging predictive analytics to transform how we understand and manage talent ...

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Talent Analytics information

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How much do talent analytics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for talent analytics in the United States is $40.14, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $41.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Talent Analytics?

To thrive in Talent Analytics, you need strong analytical skills, HR knowledge, and a background in statistics or data science, often supported by a relevant degree. Familiarity with HRIS platforms, data visualization tools (like Tableau or Power BI), and advanced Excel or programming languages such as Python or R is typically required. Strong communication, problem-solving abilities, and business acumen are important soft skills for translating data insights into actionable HR strategies. These capabilities are crucial for driving data-driven decision-making and optimizing workforce management within organizations.

What are some typical challenges faced by professionals in Talent Analytics, and how can they be addressed?

Professionals in Talent Analytics often encounter challenges such as integrating data from multiple HR systems, ensuring data accuracy, and translating complex analytics into actionable insights for stakeholders. Overcoming these challenges usually involves close collaboration with IT and HR teams, ongoing data validation, and developing strong communication skills to present findings in an accessible way. Staying current with analytics tools and industry trends also helps address evolving business needs and enhances your impact within the organization.

What is the difference between Talent Analytics vs HR Analyst?

AspectTalent AnalyticsHR Analyst
Primary FocusData-driven talent strategies, workforce planning, predictive analyticsEmployee data management, HR operations, reporting
Skills RequiredData analysis, statistics, HR knowledge, visualization toolsHR policies, data entry, basic reporting
Work EnvironmentStrategic, analytics teams, HR departmentsHR departments, administrative settings
CertificationsAnalytics, HR certifications (e.g., SHRM-CP, PHR)HR certifications, administrative skills

While both roles involve working with employee data, Talent Analytics focuses on strategic, predictive insights to improve talent management, whereas HR Analysts handle operational HR tasks and reporting. Talent Analytics professionals typically require stronger analytical skills and a focus on data-driven decision-making, making their roles more strategic in nature.

What does a talent analytics do?

A talent analytics professional analyzes data related to an organization’s workforce to inform HR decisions, improve recruitment, retention, and employee performance. They use tools like Excel, HRIS systems, and data visualization software to identify trends and support strategic planning.

What is talent analytics?

Talent analytics is the practice of using data analysis and statistical methods to assess and improve human resources functions, such as recruitment, employee performance, and retention. Talent analysts often work with HR data, utilizing tools like Excel or specialized software to inform strategic decision-making and optimize workforce management.
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What cities are hiring for Talent Analytics jobs?

Cities with the most Talent Analytics job openings:

What states have the most Talent Analytics jobs?

States with the most job openings for Talent Analytics jobs include:

Infographic showing various Talent Analytics job openings in the United States as of August 2026, with employment types broken down into 81% Full Time, 11% Part Time, and 8% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $83,499 per year, or $40.1 per hour.

Senior Manager, Talent Analytics

Excel Sports Management

Chicago, IL

Full-time

Posted 5 days ago


Job description

Excel Sports Management is an industry-leading sports agency representing top-tier talent, blue-chip brands and marquee properties. Our success is rooted in our people, our high character reputation and our commitment to creating a diverse and welcoming workplace. We focus on team chemistry, collaboration, strong relationships, valuable networks, and ambitious ideas to deliver innovative solutions that keep our clients and agency ahead of the curve.

Excel Sports Management is an Equal Opportunity Employer (EOE).

Position Summary: We are looking for a Senior Manager, Talent Marketing Analytics to serve as the dedicated analytics partner for our Talent Sales and Marketing teams. This role can be based in our West Hollywood, New York or Chicago offices. While this role is an internal client-facing, insight-delivery position, there is a parallel mandate related to how this work is conceived, developed and deployed: you will own the measurement frameworks, benchmarking methodologies, and analytical standards that make your work credible and scalable. The ideal candidate is a sharp analytical storyteller who understands the creator economy from a data perspective: how performance is measured, what benchmarks mean, where data comes from, and how to package it into a story that moves a deal forward. You are equally comfortable in a pitch room and a spreadsheet, and you bring the rigor to back up every narrative you build.

Role and Responsibilities:

Client-Facing Insight & Pitch Support

  • Serve as the primary analytics partner for Talent Sales and Marketing, collaborating with Analytics and Talent Sales colleagues to define and evolve our mix of standard and customized analytics services
  • Embed into pitch development, client commercial strategy initiatives, and client renewal conversations to provide data-driven narratives and measurement insights that demonstrate client value and marketability.
  • Surface trends, benchmarks, and audience insights that help talent teams identify new business opportunities, position clients competitively, and articulate unique value in the marketplace.
  • Collaborate with Sales Operations to evolve and manage the intake and prioritization process for new deliverables
  • Partner with internal Analytics peers along with Talent Sales & Marketing colleagues to define measurement approaches for endorsement deals, more tactical paid media campaigns and emerging formats, ensuring the agency can report effectively on the work it sells.

Measurement Frameworks & Capability Development

  • Design and own the measurement frameworks that define how talent performance is evaluated across the agency — including KPI architecture, benchmark development, data standardization, and methodology documentation.
  • Develop and maintain standardized, scalable Analytics solutions that give account and talent teams consistent, reliable sources of client insights across key use cases such as audience profiling, brand fit analysis, commercial opportunity landscapes and others as appropriate
  • Build methodologies for sentiment analysis, brand conversation tracking, earned media valuation, and audience quality assessment — ensuring all approaches are documented, repeatable, and defensible in client-facing contexts.
  • Lead the evaluation and selection of third-party analytics vendors and platforms (e.g., CreatorIQ, Brandwatch, ListenFirst and audience insights solutions); serve as the internal owner and day-to-day expert for the agency's talent/creator analytics tool stack.
  • Work closely with Analytics team partners to communicate analytical requirements, inform what data gets captured and surfaced, and ensure infrastructure decisions reflect the needs of the measurement function.
  • Stay current on developments in talent/creator analytics, platform data capabilities, and measurement industry standards, continuously identifying opportunities to close gaps and strengthen the agency's analytical capabilities.

Team & Cross-Functional Leadership

  • Develop and nurture relationships with a diverse set of key stakeholders across talent sales, talent marketing, client management, brand marketing and Analytics
  • Collaborate closely with relevant internal Talent and Analytics stakeholders to align analytical priorities with business needs and client commitments.
  • Serve as the internal subject matter expert on talent, creator and influencer measurement, educating partners across the agency on best practices, platform KPIs, and evolving industry standards.

Education and Experince:

  • 5–7 years of experience in analytics, measurement, or insights roles with a strong focus on talent, creator or influencer marketing, ideally in a sports or entertainment environment
  • Demonstrated track record in client-facing analytics work — building pitch materials, presenting performance narratives, and advising on measurement strategy for talent or creator clients
  • Proven experience designing measurement frameworks and benchmarking systems from scratch, not just executing against existing ones.
  • Agency or talent industry background strongly preferred; comfort working in a fast-paced, client-service environment with multiple concurrent priorities is essential.
  • Experience working alongside data engineering or technology teams to translate analytical needs into system requirements without directly owning the technical build.

Knowledge, Skills and Abilities:

Technical & Analytical Skills

  • Deep fluency with creator and influencer analytics platforms, including hands-on experience with a range of tools such as creator discovery/analytics, organic/paid content performance, social listening, audience insight and other relevant platforms.
  • Strong proficiency in Excel and PowerPoint, along with a demonstrated capability to effectively leverage advance AI tools to accelerate and elevate your work
  • Working knowledge of social platform native analytics across Instagram, TikTok, YouTube, X, and emerging platforms.
  • Familiarity with data pipeline concepts, API-based data sourcing, and platform data infrastructure sufficient to inform analytical design and communicate requirements to technical partners.
  • Experience with social listening, sentiment analysis, earned media value (EMV) frameworks, and audience quality assessment methodologies.
  • Comfort aggregating data across multiple vendor sources; SQL or Python proficiency is a plus, not a requirement.

Storytelling & Communication

  • Exceptional ability to translate complex, multi-source data into clear, visually compelling narratives tailored to both creative and business audiences.
  • Proven experience building pitch materials and performance decks that drive decisions — not just decks that report on them.
  • Strong verbal communication and stakeholder management skills; comfortable presenting to C-suite and senior client audiences.

Creator Economy Fluency

  • Genuine understanding of the creator economy: how creators build audiences, what drives engagement, how brand partnerships are valued, and what metrics actually matter to brands versus what gets over-reported.
  • Awareness of the evolving platform landscape and its implications for measurement, including the shift away from vanity metrics toward business outcome attribution.

The pay range for this position is: $110,000 per year - $120,000 per year. This position is also eligible for benefits and discretionary bonus.

Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria.

This position is not eligible for sponsorship.

Excel Sports Management provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, leaves of absence, compensation and training.