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Weekend Data Analyst Jobs in Worcester, MA (NOW HIRING)

Fidelity Investments

Senior IT Data Analyst

Smithfield, RI · On-site

$82.60K - $104.30K/yr

The Purpose of This Role The FI Data Solutions team is looking for a highly motivated Senior Data Analyst to work on one of Fidelity's key strategic programs. This position requires excellent ...

RIT Solutions

Data Platform Analyst

Waltham, MA · On-site

Experience with Master Data Management data environments. Experience with utility services data, e.g. field processes, connections, and meters. Proficient in SQL data querying and data exploration.

RIT Solutions, Inc.

Data Platform Analyst

Waltham, MA · On-site

Experience with Master Data Management data environments. Experience with utility services data, e.g. field processes, connections, and meters. Proficient in SQL data querying and data exploration.

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Weekend Data Analyst information

See Worcester, MA salary details

$33.9K

$82.5K

$135.7K

How much do weekend data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for weekend data analyst in Worcester, MA is $82,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 per year, depending on experience, location, and employer.

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 are Weekend Data Analysts?

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 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.

More about Weekend Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Worcester, MA? The most popular types of Data Analyst jobs in Worcester, MA are:
What are popular job titles related to Weekend Data Analyst jobs in Worcester, MA? For Weekend Data Analyst jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Worcester, MA look for? The top searched job categories for Weekend Data Analyst jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Weekend Data Analyst jobs? Cities near Worcester, MA with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Worcester, MA as of May 2026, with employment types broken down into 2% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $82,460 per year, or $39.6 per hour.
Globality Bid | Senior Data Analyst | Smithfield, NC, WLK

Globality Bid | Senior Data Analyst | Smithfield, NC, WLK

Samprasoft

Smithfield, RI • On-site

$82.60K - $104.30K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Analyst

We are seeking a skilled Senior Data Analyst to enhance our data infrastructure, improve data quality and relevance, and support strategic decision-making across sales, marketing, and analytics. This role requires strong technical expertise in working with relational databases, data warehouses, and modern data platforms such as Snowflake. The ideal candidate will be experienced in reverse engineering existing systems, documenting, building and optimizing ETL workflows, and leveraging third-party data sources to deliver actionable insights.

Key Responsibilities:

  • Enhance and maintain enterprise data infrastructure to ensure high availability, scalability, and performance.
  • Improve data quality, relevance, and trust through data pact creation, validation, and monitoring.
  • Design and implement robust data pipelines and ETL workflows for ingestion and transformation of internal and third-party data sources.
  • Collaborate with business units (sales, marketing, analytics) to identify data needs and deliver impactful insights.
  • Utilize third-party data to enrich existing datasets and improve decision-making.
  • Conduct reverse engineering of existing systems to document and optimize data flows and data structures architecture to support modernization and optimization efforts.
  • Support data governance efforts to ensure data integrity and compliance.

Required Qualifications:

  • Bachelor's or Master’s degree in Computer Science, Information Systems, Data Analytics, or related field.
  • 10+ years of experience as a Data Analyst or in a similar data-focused role.
  • Strong experience with relational databases and data warehousing concepts (RDBMS, Oracle, Snowflake).
  • Proficiency in SQL based data solutions.
  • Hands-on experience with ETL tools and designing automated data pipelines.
  • Ability to reverse engineer legacy systems and document technical workflows.
  • Strong understanding of system design principles for analytical and operational data systems.
  • Experience with data quality frameworks and working with third-party data sources.

Preferred Qualifications:

  • Familiarity with data orchestration tools (e.g., Airflow, Control-M, etc.).
  • Experience supporting data for customer intelligence, marketing automation, or sales enablement platforms.
  • Working knowledge of Python or similar scripting languages for data manipulation.
  • Strong communication and cross-functional collaboration skills.

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