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

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated ...

New

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated ...

System One

Data Analyst

Pittsburgh, PA · On-site

Data Analyst Duration: Contract to Hire Location: Canton, MA Work Mode: Hybrid Position Overview System One is seeking an experienced Data Analyst to support complex data, analytics, and information ...

System One

Data Analyst

Pittsburgh, PA · On-site

Data Analyst Duration: Contract to Hire Location: Canton, MA Work Mode: Hybrid Position Overview System One is seeking an experienced Data Analyst to support complex data, analytics, and information ...

System One

Data Analyst

Pittsburgh, PA · On-site

Data Analyst Duration: Contract to Hire Location: Canton, MA Work Mode: Hybrid Position Overview System One is seeking an experienced Data Analyst to support complex data, analytics, and information ...

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

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 ...

CYNET SYSTEMS

Data Analyst

Pittsburgh, PA · On-site

$45 - $50/hr

Hands-on experience investigating and remediating data quality issues including root cause analysis and corrective/preventive actions. * Demonstrated ability to elicit and document business ...

University of Pittsburgh

Data Analyst

Pittsburgh, PA · On-site

The Data Analyst provides support for the conduct of research studies within UPCI Basic Research Administration. Responsibilities include assisting with data collection and data entry, maintaining ...

University of Pittsburgh

Data Analyst

Pittsburgh, PA · On-site

The Data Analyst provides support for the conduct of research studies within UPCI Basic Research Administration. Responsibilities include assisting with data collection and data entry, maintaining ...

kWantera

Energy Data Analyst

Pittsburgh, PA · On-site

Our team of quantitative energy market analysts work with our big data analytics platform to analyze and react to changing market conditions. At kWantera, we promote a highly dedicated, collaborative ...

kWantera

Energy Data Analyst

Pittsburgh, PA

Our team of quantitative energy market analysts work with our big data analytics platform to analyze and react to changing market conditions. At kWantera, we promote a highly dedicated, collaborative ...

Fnbcorp

Geospatial Data Analyst

Pittsburgh, PA

Geospatial Data Analyst Business Unit: Retail Reports to: Retail Channel Optimization Manager Position Overview: An impactful position that leverages geospatial, internal, and external data to ...

Tcenergy

IOTx Data Analyst

Washington, PA · Hybrid

The Data Analyst works closely with AI Product Specialist, Automation Leads, Governance Leads, business stakeholders, and operational subject matter experts to transform business information into ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Pittsburgh, PA

Weekend Data Analyst information

See Pittsburgh, PA salary details

$33K

$80.2K

$132K

How much do weekend data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for weekend 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 is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.
More about Weekend Data Analyst jobs

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

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

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

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

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

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

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,228 per year, or $38.6 per hour.

Data Analyst

Data Ideology

Pittsburgh, PA • Remote

Other

Posted 3 days ago

New

Job description

Data Ideology 
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.  For more information about Data Ideology, visit www.dataideology.com  
 

Data Analyst– Contract

We are looking for Data Analyst to join our growing team. A Data Analyst will leverage their business and technical knowledge to organize and manage deliverables in a data warehouse consolidation and business intelligence implementation project, while also working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle. 
Key Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

  • Data Analysis and Interpretation:
    • Conduct in-depth analysis using the data warehouse to identify trends, patterns, and insights.
    • Interpret complex data sets and communicate findings to both technical and non-technical stakeholders.
  • Data Extraction and Transformation:
    • Assist with ETL processes to extract, transform, and load data from various sources.
    • Collaborate with IT teams to create seamless data integrations.
  • Quality Assurance and Testing
    • Perform thorough data validation and testing to ensure the highest possible data quality.
    • Clearly define and communicate when quality standards are not being met.
  • Problem Solving
    • Perform root cause analysis to identify the underlying or fundamental causes of an issue or problem.
    • Demonstrate ability to offer suggestions and solutions to remedy issues and promote sustainability.
  • Collaboration and Communication:
    • Work closely with cross-functional teams, including IT and business stakeholders, to align on goals and key deliverables.
    • Effectively prioritize tasks to meet established team goals.
  • Documentation:
    • Accurately document data mappings and definitions.
    • Outline standard processes and procedures of core activities
Supervisory Responsibilities: None
Qualifications
Education and Experience:
Education and Experience:
  • Bachelor’s degree in healthcare or computer science related field preferred, but not necessary.
  • 2+ years’ experience with any programming language (SQL, PLSQL, R, Python, etc)
  • 2+ years’ experience in data analytics on any data warehouse (Oracle, SQL, Snowflake)
  • Healthcare experience a plus
  • Agile/SAFe experience a plus
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer
 

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