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Analytics Manager Jobs in Layton, UT (NOW HIRING)

People Analytics Manager

Salt Lake City, UT · On-site +1

$115K - $175K/yr

As the People Analytics Manager, you will empower Gong\'s Leadership Team and broader People function to make confident, data-driven business decisions. You will bring analytical rigor, product ...

FP&A Manager

Salt Lake City, UT · On-site

$130K - $140K/yr

FP&A Manager Summary Title: FP&A Manager ID: 3956 Job Type: Exempt (salaried) Location: Salt Lake City, UT Openings: 1 Description Are you ready to join an industry leader with a strong foundation of ...

FP&A Manager

Salt Lake City, UT · On-site

$130K - $140K/yr

Kenworth Sales Co. is looking for a FP&A Manager to join our Salt Lake City, UT team. **Earn $130k-$140k DOE** ** Due to federally mandated DOT regulations, Kenworth Sales Co. is a drug-free ...

Communicate directly with venue management throughout the event. WHAT THIS PERSON WILL BRING * Proof of current Part 107 Drone License, or rather, willing to obtain Part 107 Drone License * High ...

Experience with using SQL, BI and analytics tools Benefits & Perks * Salary Range = 126k - 176k USD ... Fandom's Gaming division manages the online video game retailer Fanatical. Fandom Productions, the ...

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Analytics Manager information

See Layton, UT salary details

$58.6K

$113.9K

$162.6K

How much do analytics manager jobs pay per year?

As of Jul 27, 2026, the average yearly pay for analytics manager in Layton, UT is $113,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $135,400.00 per year, depending on experience, location, and employer.

What Is an Analytics Manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

What are Analytics Managers?

Analytics Managers are professionals responsible for overseeing the collection, analysis, and interpretation of data to help organizations make informed business decisions. They lead teams of data analysts, develop strategies for data management, and translate complex data findings into actionable insights. Analytics Managers often collaborate with other departments to identify business challenges and recommend data-driven solutions. Their role is crucial in enabling companies to optimize processes, improve performance, and gain a competitive edge.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

How does an Analytics Manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an Analytics Manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.
What are popular job titles related to Analytics Manager jobs in Layton, UT? For Analytics Manager jobs in Layton, UT, the most frequently searched job titles are:
What cities near Layton, UT are hiring for Analytics Manager jobs? Cities near Layton, UT with the most Analytics Manager job openings:
Infographic showing various Analytics Manager job openings in Layton, UT as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $113,867 per year, or $54.7 per hour.
People Analytics Manager

People Analytics Manager

Gong.io

Salt Lake City, UT • On-site, Remote

$115K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

As the People Analytics Manager, you will empower Gong\'s Leadership Team and broader People function to make confident, data-driven business decisions. You will bring analytical rigor, product thinking, and storytelling craft to transform complex workforce data into clear narratives and actionable strategies. You will also help shape how the team responsibly adopts AI and machine learning to scale analytical capabilities, automate workflows, and unlock deeper workforce insights, all in service of helping #CreateRavingFans of Gong employees. This role will report to the Director of People Analytics.

RESPONSIBILITIES
  • Partner with key stakeholders to shape and execute a strategic People Analytics roadmap aligned with business priorities
  • Translate stakeholder needs into analytical products including dashboards, self-serve reporting tools, and workforce planning models
  • Deliver insights through compelling data narratives tailored for both technical and non-technical audiences, including senior leadership
  • Analyze large, complex datasets from multiple sources to surface actionable insights that drive people team initiatives and business decisions
  • Collaborate with People Ops and Systems teams to resolve data quality gaps and maintain robust data governance within the data ecosystem
  • Balance strategic initiatives with responsive stakeholder support, managing competing priorities effectively
  • Stay current on industry best practices, trends, and emerging tools in people analytics
QUALIFICATIONS 
  • 4+ years of progressive experience in People Analytics
  • Proven ability to build analytical products such as dashboards, reporting tools, and data solutions that stakeholders trust and actively use
  • Proficiency in tools such as dbt, Snowflake, and Python/R
  • Experience leveraging data from HR tools like Workday, CultureAmp, Greenhouse, or LMS platforms
  • Strong relationship-building skills with the ability to communicate data insights across all organizational levels
  • Familiarity with AI and machine learning concepts and their application to workforce analytics
  • Solid understanding of data privacy and compliance requirements
PERKS & BENEFITS 
  • We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
  • Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
  • Mental Health benefits with covered therapy and coaching.
  • 401(k) program to help you invest in your future.
  • Education & learning stipend for personal growth and development.
  • Flexible vacation time to promote a healthy work-life blend.
  • Paid parental leave to support you and your family.
  • Company-wide recharge days each quarter.
  • Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $115,000 - $175,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates\' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong\'s privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

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