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Performance Data Analyst Jobs in Pittsburgh, PA (NOW HIRING)

Data Analyst Location: Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data ... Ensuring data quality, process documentation, and defining Key Performance Indicators (KPIs)

Data Analyst

Pittsburgh, PA ยท On-site

$45 - $50/hr

Proven expertise in SQL performance analysis and tuning across Oracle and Snowflake environments. * Hands-on experience investigating and remediating data quality issues including root cause analysis ...

... performance, providing insightful feedback for improvements, just to count a few of the responsibilities. The ideal candidate is experienced and comfortable with analyzing big data and crunching ...

... performance, providing insightful feedback for improvements, just to count a few of the responsibilities. The ideal candidate is experienced and comfortable with analyzing big data and crunching ...

What You'll Do As a Data Solutions Analyst at Pattern Data, you will specialize in settlement ... includes performance-based incentives, comprehensive benefits, and other rewards. Final ...

Data Solutions Analyst

Pittsburgh, PA ยท On-site

$80K - $110K/yr

What You'll Do As a Data Solutions Analyst at Pattern Data, you will specialize in settlement ... includes performance-based incentives, comprehensive benefits, and other rewards. Final ...

Data Strategy-Manager

Pittsburgh, PA ยท On-site

$99K - $232K/yr

... and analytics. Responsibilities - Lead the creation and execution of data-driven strategies to enhance business performance - Inspire and motivate team members to leverage their strengths for ...

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Performance Data Analyst information

See Pittsburgh, PA salary details

$33K

$80.2K

$132K

How much do performance data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for performance data analyst in Pittsburgh, PA is $80,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 per year, depending on experience, location, and employer.

What does a performance data analyst do?

A Performance Data Analyst collects, processes, and analyzes data to evaluate the effectiveness and efficiency of business operations, projects, or employee performance. They use statistical tools and data visualization techniques to identify trends, areas for improvement, and opportunities for optimization. Their insights help organizations make informed decisions to enhance productivity and achieve strategic goals. Performance Data Analysts often collaborate with other teams to support data-driven decision-making and reporting.

What skills and qualifications are needed to be a performance data analyst?

To thrive as a Performance Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills ensure accurate performance measurement, actionable insights, and informed decision-making within the organization.

How does a performance data analyst typically interact with other departments within an organization?

Performance Data Analysts frequently collaborate with various teams, including operations, finance, and management, to gather relevant data and provide actionable insights. They often participate in cross-functional meetings to discuss findings and recommend strategies for performance improvement. Effective communication skills are essential, as analysts must translate complex data trends into clear, practical recommendations tailored to the needs of different stakeholders. This collaborative environment helps ensure that data-driven decisions are integrated into business processes across the organization.

What is the difference between Performance Data Analyst vs Data Analyst?

AspectPerformance Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in data toolsBachelor's in similar fields; strong analytical skills
Work EnvironmentFocus on performance metrics, operational data, and KPIsBroader data analysis across various domains and projects
Employer & Industry UsageUsed in corporate, sports, or government sectors to improve performanceWidely used across industries for general data insights

The Performance Data Analyst specializes in analyzing operational and performance metrics to optimize processes, while the Data Analyst has a broader role in interpreting various data types across multiple domains. Both roles require similar skills and education but differ in focus and application.

What are popular job titles related to Performance Data Analyst jobs in Pittsburgh, PA?

For Performance Data Analyst jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Performance Data Analyst jobs in Pittsburgh, PA look for?

The top searched job categories for Performance Data Analyst jobs in Pittsburgh, PA are:

Infographic showing various Performance Data Analyst job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $80,228 per year, or $38.6 per hour.

Data Analyst

Pittsburgh, PA โ€ข On-site

Full-time

Re-posted 10 days ago


Job description

Role: Data Analyst
Location: Pittsburgh, PA
Onsite position
Fulltime Position
*****NO C2C****
JD
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Statistical Analysis: Proficiency in statistical methods and techniques.
  • SQL: Knowledge of Structured Query Language for database management.
  • Data Visualization Tools: Experience with tools like Tableau, Power BI.
  • Programming Languages: Familiarity with languages like Python or R.
  • Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance.
  • Data Modeling: Ability to design and implement data models.
  • Communication and Presentation: Strong communication and presentation skills to effectively convey findings to stakeholders.
  • Critical Thinking: Ability to analyze data, identify trends, and draw conclusions.
  • Attention to Detail: Accuracy and precision in data analysis and reporting.
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Data Collection and Preparation: Gathering data from various sources, cleaning and preparing it for analysis, and ensuring data quality.
  • Statistical Analysis: Performing statistical analyses to identify trends, patterns, and anomalies in the data.
  • Exploratory Data Analysis (EDA): Engaging in exploratory data analysis to gain a deeper understanding of the data and identify potential areas for further investigation.
  • Data Visualization: Creating clear and concise visualizations (charts, graphs, dashboards) to communicate data insights effectively.
  • Reporting and Presentation: Preparing reports and presentations to communicate findings to stakeholders, influencing decision-making.
  • Data Governance and Quality: Ensuring data quality, process documentation, and defining Key Performance Indicators (KPIs).
  • Database Management: Managing databases, troubleshooting data-related issues, and optimizing database performance.
  • Data Modeling: Building data models to represent and analyze data effectively.
  • Data Mining: Mining data from various sources and transforming it into usable formats.

Manikanth
Sarian Solutions, Inc.
Ph: 732-790-2266 X 105
manikanth.d@sariansolutions.com | https://www.sarianinc.com/