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

Data Analyst I

Tarentum, PA · On-site

$70 - $90/hr

Training skills Management Science Associates, Inc. (MSA) is a diversified, dynamic and growing ... analytics, data and technology deliver incremental growth and drive efficiency. We have a rich ...

Posted today

Data Strategy-Manager

Pittsburgh, PA · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Data Governance- Manager

Pittsburgh, PA · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

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Associate Data Analyst information

See Pittsburgh, PA salary details

$33K

$80.2K

$132K

How much do associate data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for associate data analyst in Pittsburgh, PA is $80,229.00, 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 an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

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

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.

What are the most commonly searched types of Data Analyst jobs in Pittsburgh, PA?

The most popular types of Data Analyst jobs in Pittsburgh, PA are:

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

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

What cities near Pittsburgh, PA are hiring for Associate Data Analyst jobs?

Cities near Pittsburgh, PA with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,229 per year, or $38.6 per hour.

Associate Data Scientist, CRPMK

Corporate Marketing

Pittsburgh, PA • Hybrid

$57K - $57K/yr

Full-time

Posted 23 hours ago

Posted today


Job description

The Associate Data Scientist works independently using a robust toolbox to develop solutions for a diverse portfolio of interesting and challenging problems within UPMC's Marketing team. The Associate Data Scientist works alongside the Senior Manager of Data Architecture and Analytics and will implement and monitor projects pertaining to but not limited to advanced analytics, data modeling, data visualizations, and quantitative analysis.

This is a hybrid position with at least two in-office days per week. If you have prior experience with healthcare analytics or marketing analytics, look no further and apply today!
Responsibilities:

  • Responsible for conceiving, planning, designing, developing and validating robust algorithms for use in analyzing healthcare data.

  • Assists with data architecture design and optimization to ensure efficient data flow and structure for cohesive marketing reporting needs.

  • Identifies the business problem, data exploration, modeling, communication of final results, with the assistance of the analytics team.

  • Creates predictive forecasting models based on revenue driven by marketing efforts to aid in budget development and marketing ROI.

  • Works with marketing vendors and the digital marketing teams to design, develop, and implement econometric models such as a Media Mix Modeling and Multi-Touch Attribution modeling.

  • Performs in accordance with system-wide competencies/behaviors.

  • Advanced degree in a quantitative discipline such as Business Analytics, Statistics, Applied Mathematics, Public Policy, Economics, Decision Science or related field.

  • Bachelor's degree or above preferred.

  • One (1) year of experience in healthcare analytics or marketing analytics required.

  • Excellent written and oral communication skills.

  • Strong statistical background with sound analytical/computational skills.

  • Knowledge of database management using SQL. Proficiency in statistical programming languages such as, but not limited to: C++, MATLAB, Python, or R.

  • Familiarity with business intelligence and data visualization tools preferred.


    Licensure, Certifications, and Clearances:

  • Act 34
    UPMC is an Equal Opportunity Employer/Disability/Veteran