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Performance Analytics Jobs (NOW HIRING)

Gainshare

Our Performance Analytics team turns cross-channel data into unified measurement, revenue forecasts, and real-time decisions - feeding the GainShare Performance Suite (GPS), our proprietary, AI ...

New

Pfizer, S.A. de C.V

Director, Performance Analytics & Insights (PAI) * United States - Pennsylvania - Collegeville * United States - New York - New York City We're in relentless pursuit of breakthroughs that change ...

New

TerraForm Power

Analyst, Performance

Manhattan, NY · On-site

$80K - $95K/yr

Performance Analytics & Reporting * Support generation reporting processes and performance analytics across wind, solar, and storage assets * Assist in automating production guarantee calculations ...

CVS Health Corporation

$100K - $231K/yr

Develop and maintain KPIs and performance scorecards for the editing portfolio. * Analyze trends in claims, savings, utilization, provider behavior, and edit outcomes. * Identify underperforming ...

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Performance Analytics information

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How much do performance analytics jobs pay per year?

As of Sep 13, 2026, the average yearly pay for performance analytics in the United States is $75,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $89,500.00 per year, depending on experience, location, and employer.

What is performance analytics?

Performance Analytics refers to the process of collecting, analyzing, and interpreting data to evaluate the efficiency and effectiveness of an organization, team, or individual. Professionals in this field use metrics and key performance indicators (KPIs) to monitor progress, identify trends, and support data-driven decision-making. Performance Analytics is commonly used in business, sports, IT, and other sectors to optimize processes and achieve strategic goals.

What are the key skills and qualifications needed to thrive as a performance analytics professional?

To thrive in Performance Analytics, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), statistical analysis software (like R or Python), and experience with databases are often required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex data into actionable insights. These skills are crucial for driving data-informed decisions and optimizing organizational performance.

How does a performance analytics professional typically collaborate with other departments within an organization?

Performance Analytics professionals regularly partner with teams such as operations, finance, and marketing to gather relevant data and translate it into actionable insights. They often participate in cross-functional meetings to understand business goals and tailor their analyses accordingly. Clear communication is crucial, as they must explain complex metrics to non-technical stakeholders and help implement data-driven strategies. This collaborative environment fosters a strong understanding of the broader business and can open doors to advancement in various domains.

What is the difference between Performance Analytics vs Data Analyst?

AspectPerformance AnalyticsData Analyst
Required CredentialsBachelor's in Business, Analytics, or related fields; certifications like CAP or CBAPBachelor's in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentBusiness settings, focusing on performance metrics and KPIsVaried industries, analyzing data sets to inform decisions
Employer & Industry UsageUsed in corporate performance management, finance, and operationsUsed across industries for data interpretation and reporting

Performance Analytics focuses on measuring and improving organizational performance through KPIs and strategic insights, often within business operations. Data Analysts interpret complex data sets to support decision-making across various industries. While both roles require analytical skills and similar certifications, Performance Analytics emphasizes performance measurement, whereas Data Analysts focus on data interpretation and reporting.

What does a performance analytics do?

A performance analyst evaluates data related to business operations, employee productivity, or financial metrics to identify trends and improve efficiency. They use tools like Excel, SQL, or data visualization software and often require strong analytical skills and attention to detail.
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What job categories do people searching Performance Analytics jobs look for?

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Performance Analytics jobs near you
Infographic showing various Performance Analytics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $75,189 per year, or $36.1 per hour.

Digital Performance Analyst

On-site

Gainshare
11 - 50 employees
Learn more about Gainshareexternal

Other

Posted 2 days ago

New

Job description

GainShare is a performance marketing agency built on a simple promise: performance you can predict.
Backed by 35 years of performance-first experience and more than $100M in media managed, we help brands forecast revenue before they invest - then plan, buy, and optimize across media, TV, and creative to deliver it. The industry optimizes backward. We optimize forward.

Our Performance Analytics team turns cross-channel data into unified measurement, revenue forecasts, and real-time decisions - feeding the GainShare Performance Suite (GPS), our proprietary, AI-powered predictive intelligence platform

The Role

The Digital Performance Analyst is a hands-on, early-career role on our Performance Analytics team, centered on digital media - programmatic, paid search, paid social, streaming video/OLV/CTV. You'll ownthe digital performance analysis for your accounts and expand into broader, cross-channel measurement as you develop.

Day to day, you'll work alongside the VP of Performance Analytics on our flagship account: you drive the digital analysis while the wider cross-channel and forecasting picture comes together around it. That means generating insights, building performance reporting, running tests across Google Ads, Meta, Microsoft Ads, DV360, and other DSPs, and keeping tracking and data integrity clean so the numbers feeding GPS hold up.

You'll work across a range of client types - insurance, e-commerce, OEM lead-gen, university recruitment, and financial services - and the full set of systems behind them: Google Analytics, website engagement and conversion tracking, multi-million-dollar ad budgets, call-tracking software, CRM systems, and our predictive intelligence platform. You'll start on the digital side and grow into connecting it all for a full-funnel view of performance.

What You'll Do
  • Own the digital performance analysis and reporting for your accounts, contributing to the broader cross-channel view.
  • Build and QA dashboards for digital KPIs (CPA, ROAS, CTR, CVR, assisted conversions) and lead-gen metrics like leads, calls, and enrollments.
  • Design and interpret audience, creative, landing-page, and conversion tests.
  • Explore and QA data using SQL and AI-assisted tools, flagging data-quality issues to analytics engineering and helping validate tracking with the media and web teams.
  • Help turn data into clear stories and recommendations for client and internal reporting.
  • Support attribution and incrementality work, growing into TV, call, and MMM measurement over time.
What We're Looking For

Strong fundamentals and genuine curiosity matter more to us than a long résumé - this is a place to build depth quickly. The list below is a starting point, not a checklist.

Must-Have
  • 1-3 years experience working with in digital marketing analytics, business analytics, including internship experience.
  • An undergraduate degree in marketing, business analytics, or a related quantitative field.
  • Hands-on exposure to Google Ads, Meta Ads, DV360, and/or other DSP platforms.
  • Familiarity with web analytics (GA4, Adobe Analytics) and tag/pixel tracking (Google Tag Manager, Floodlight, Meta Pixel).
  • Comfortable exploring and validating data with SQL and AI-assisted tools.
  • Some experience building dashboards in a modern BI platform (Tableau, Looker, or Power BI).
  • Clear communication skills, with comfort presenting findings to teammates and clients.
Nice-to-Have (and the growth path for this role)
  • Interest in predictive, forward-looking measurement - marketing-mix modeling, incrementality, and forecasting - the core of our GPS platform.
  • Interest in cross-channel and offline measurement - linear/connected TV (e.g., iSpot, Samba TV, InnovidXP) and call tracking.
  • Experience with A/B or landing-page testing and conversion-funnel analysis.
  • Comfort using AI/agentic tools to speed up analysis, with basic version-control (Git) habits.
  • Internship or agency exposure in a fast-paced client environment.
  • Salary range: Competitive with marketplace rates, based on experience.
  • Hybrid in-office schedule based out of our Chicago office.
  • Immediate involvement in active client optimization projects.
Location

Full-time

/

Chicago, IL

GainShare Performance Marketing is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applications from all qualified candidates.

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