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Performance Analytics Jobs in New York (NOW HIRING)

Initio Capital

Capital Performance Analyst

Manhattan, NY · Hybrid

$145K - $185K/yr

It is provided to help job seekers understand the responsibilities and qualifications typically associated with early-career capital strategy and performance analytics roles. Actual openings vary ...

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 ...

Career Launch AI

Capital Performance Analyst

Manhattan, NY · On-site

$140K - $185K/yr

Prepare performance summaries and analytics for investment committees and LP reporting * Translate performance data into clear insights on risks, opportunities, and capital effectiveness * Support ...

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Performance Analytics information

See New York salary details

$30.1K

$82.3K

$140.6K

How much do performance analytics jobs pay per year?

As of Sep 13, 2026, the average yearly pay for performance analytics in New York is $82,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,200.00 and $97,900.00 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.

What are popular job titles related to Performance Analytics jobs in New York?

For Performance Analytics jobs in New York, the most frequently searched job titles are:

What job categories do people searching Performance Analytics jobs in New York look for?

The top searched job categories for Performance Analytics jobs in New York are:

Performance Analytics jobs near you
Infographic showing various Performance Analytics job openings in New York as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $82,259 per year, or $39.5 per hour.

Performance Engineer - Performance Analytics

Manhattan, NY • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 7 days ago

Job description

  • Investigate and reconcile account-level and benchmark performance data across internal models, benchmark systems, and custodian data
  • Analyze benchmark definitions, blending logic, and drifted allocations to ensure consistency with expected outcomes
  • Build diagnostic scripts in Python and structured queries in SQL to isolate and document root causes of deviations
  • Collaborate with engineers to translate findings into long-term system updates and validation rules
  • Develop and maintain data-quality dashboards, audit trails, and investigative documentation
  • Partner with portfolio management, operations, and engineering teams to improve transparency and trust in performance reporting
  • Analyze differences between modeled and actual portfolio returns and conduct performance attribution
  • Identify root causes, validate fixes, and strengthen performance analytics
Requirements
  • Minimum of 3+ years of experience in investment analytics, portfolio accounting, or data engineering/analytics
  • Proficiency in Python and SQL
  • Strong analytical and problem-solving skills with exceptional attention to detail
  • Comfortable working in fast-moving, high-accountability environments where accuracy and speed both matter
  • Solid understanding of investment performance concepts, including returns, benchmarks, attribution, and reconciliation
  • Bachelor’s or Master’s degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field (preferred)
  • 5 years of experience in investment analytics, portfolio accounting, or data engineering/analytics (preferred)
  • Experience with data visualization or workflow automation tools is a plus
Core Competencies

Demonstrates expertise in investment analytics and performance reporting, utilizing strong skills in Python and SQL to analyze and reconcile data. Capable of developing data-quality dashboards and collaborating with cross-functional teams to enhance transparency and accuracy in performance metrics.

Highest-signal resume keywords
  • Python Programming
  • SQL Proficiency
  • Investment Performance Analysis
  • Data Quality Management
  • Analytical Problem-Solving
ATS Optimization Keywords Hard Skills
  • Investment Analytics
  • Portfolio Accounting
  • Data Engineering
  • Performance Attribution
  • Benchmark Analysis
  • Data Reconciliation
  • Diagnostic Scripting
  • Structured Querying
  • Data Visualization
  • Workflow Automation
Soft Skills
  • Attention to Detail
  • Collaboration
  • Adaptability
  • Communication
  • Problem-Solving
Certifications & Qualifications
  • Bachelor’s Degree in Finance
  • Bachelor’s Degree in Accounting
  • Bachelor’s Degree in Mathematics
  • Bachelor’s Degree in Computer Science
  • Master’s Degree in Finance
  • Master’s Degree in Accounting
  • Master’s Degree in Mathematics
  • Master’s Degree in Computer Science
Industry Keywords
  • Investment Performance Concepts
  • Benchmark Systems
  • Custodian Data
  • Performance Reporting
  • Audit Trails
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