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Weekend Data Analyst Jobs in Pennsylvania (NOW HIRING)

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and ...

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 ...

The Data Analyst partners with IT, business stakeholders, and cross-functional teams to deliver actionable insights, maintain high data integrity, and support the operation and evolution of ECRI ...

Investment Data Analyst

Wayne, PA · On-site

$70K - $90K/yr

Data Analyst - 87IB6E We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Transforms raw data into analytics, benchmarks and intelligence. Plays a key role in ensuring data quality, consistency and reliability across platforms and products. * Provides Data Analysis ...

This data analyst role will play a pivotal part in transforming complex data into clear, compelling narratives and actionable insights that support strategic initiatives,optimizethe productivity of ...

Transforms raw data into analytics, benchmarks and intelligence. Plays a key role in ensuring data quality, consistency and reliability across platforms and products. • Provides Data Analysis ...

Transforms raw data into analytics, benchmarks and intelligence. Plays a key role in ensuring data quality, consistency and reliability across platforms and products. • Provides Data Analysis ...

Investment Data Analyst

Wayne, PA · On-site

$70K - $90K/yr

Data Analyst - 87IB6E We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Transforms raw data into analytics, benchmarks and intelligence. Plays a key role in ensuring data quality, consistency and reliability across platforms and products. * Provides Data Analysis ...

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 ...

Showing results 41-60

Weekend Data Analyst information

See Pennsylvania salary details

$34.1K

$82.8K

$136.3K

How much do weekend data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for weekend data analyst in Pennsylvania is $82,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,200.00 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.

What are the most commonly searched types of Data Analyst jobs in Pennsylvania?

The most popular types of Data Analyst jobs in Pennsylvania are:

What are popular job titles related to Weekend Data Analyst jobs in Pennsylvania?

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

What job categories do people searching Weekend Data Analyst jobs in Pennsylvania look for?

The top searched job categories for Weekend Data Analyst jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Weekend Data Analyst jobs?

Cities in Pennsylvania with the most Weekend Data Analyst job openings:

Infographic showing various Weekend Data Analyst job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,839 per year, or $39.8 per hour.

Manufacturing Data Analyst

Ascentt

Indiana, PA • On-site

$80 - $100/hr

Other

Posted 18 days ago


Job description

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence.

Role Overview

Are you someone who thrives at the intersection of data and real-world operations? We’re looking for a Manufacturing Data Analyst / Senior Data Analyst to drive a large-scale data transformation initiative across manufacturing plants—working directly on the ground where impact truly happens.

What You’ll Do
  • Work on-site at manufacturing plants to understand operations firsthand
  • Map and analyze plant operations, shop floor, and production data
  • Conduct current-state assessments and build data glossaries
  • Partner closely with business stakeholders, plant teams, and leadership
  • Identify high-impact, quick-win opportunities (micro-transformations)
  • Act as a trusted data consultant, not just a developer
What We’re Looking For
  • 6+ years of experience in data-focused roles
  • Strong foundation in:
    • Data Warehousing, Data Modeling, Data Structures
    • Data Mapping, Data Analysis
    • Data Governance, Data Architecture, Data Glossary
  • Experience with manufacturing / plant / industrial data (highly preferred)
  • Strong consultative skills: stakeholder management, process mapping, requirements gathering, data strategy
  • Ability to translate complex data into simple business language
Tools & Technologies (Must Have)

SQL, Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines

Industry Experience (Important)

Manufacturing, Automotive, Industrial, Supply Chain, Production, Heavy Industry

Nice-to-Have

Lean Manufacturing, Six Sigma, IIoT, Smart Factory, Industry 4.0

Location & Travel
  • Highly on-site role
  • Preferred: Kentucky, Indiana, North Carolina (Raleigh)
  • Open to candidates willing to travel frequently or relocate
Why This Role?

This isn’t a typical data role.

You’ll be:

  • Building trust with plant teams
  • Driving real transformation from the ground up
  • Acting as a bridge between data strategy and shop-floor execution
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