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Weekend Data Analyst Jobs in Kentucky (NOW HIRING)

Medvantx Inc

Sr. Data, Reporting Analyst

Louisville, KY · On-site

$78K - $99K/yr

As a Sr. Data & Reporting Analyst, your primary focus will be on transforming complex data into actionable business insights through advanced reporting, analytics, and visualization solutions.

Neura Market

$113 - $193/hr

  • Retirement

The Principle Event Data Analyst (AI & Advanced Analytics) is responsible for leading AI driven investigation and analysis of workplace incidents and data events using a systematic, analytics first ...

New

Accenture

Data Protection, A/SA-Evergreen

Lexington, KY · On-site

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members ...

Dominion Energy

$102 - $133/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The position partners with business, technology, data, analytics, risk, compliance, and AI stakeholders to embed consistent governance processes. The role helps translate enterprise governance ...

New

Nova Southeastern University

$120 - $170/hr

  • Medical

  • Dental

  • Retirement

Guides the Metadata & Data Governance Analyst in curating Purview assets, connecting business terms to technical assets, monitoring metadata completeness, and improving catalog usability. 12.

New

Collabera

Data Warehouse Specialist

Hebron, KY · On-site

$17 - $22.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data analysis and problem solving Local focal point for backup to purchase material Inventory ... 7:30 am 4:30 pm); occasional weekends. Additional Information If you are interested in this ...

CATALIS

Business Analyst

Edmonton, KY · On-site

  • Medical

  • Dental

  • PTO

Analyze complex data sets to identify trends and insights. * Translate data into actionable ... recommendations. * Support decision-making with data-driven analysis. 3. Process Improvement * Map ...

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Showing results 21-40

All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Kentucky

Weekend Data Analyst information

See Kentucky salary details

$29.5K

$71.8K

$118.1K

How much do weekend data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for weekend data analyst in Kentucky is $71,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,200.00 per year, depending on experience, location, and employer.

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.

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

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Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Kentucky as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $71,775 per year, or $34.5 per hour.

Analyst - Data Engineering

Marsh & McLennan Companies

Louisville, KY • On-site

Other

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

Job description

Company:
Marsh
Description:
We are seeking a Data Engineer to join our Applications Development team at Marsh in Louisville, KY. This is a hybrid role that has a requirement of working at least three days a week in the office.
As a Data Engineer at Marsh, you will conceptualize and implement the setup and management of the data platform built Databricks services across different regions.
We will count on you to:
  • Collaborate with stakeholders to understand data requirements and translate them into technical specifications
  • Design, develop, and implement data pipelines and ETL processes, ensuring thorough unit testing to validate functionality and performance.
  • Implement data quality checks and validation processes to ensure the accuracy and integrity of data throughout the pipeline
  • Coordinate with cross-functional teams to ensure alignment on project goals, timelines, and deliverables
  • Continuously monitor data workflows and pipelines for performance, reliability, and efficiency, implementing improvements as necessary
  • Create and maintain comprehensive documentation for data processes, architecture, and workflows to ensure knowledge sharing and compliance

What you need to have:
  • Bachelor's degree in computer science, Data Science, Information Technology, or a related field
  • Proficiency in programming languages such as Python and SQL, along with experience in data modeling and database design
  • 5+ years of experience working as a Data Engineer and possess a strong understanding of ETL and ELT concepts
  • Experience with API integration and Data ingestion from various sources, ensuring seamless data flow between systems
  • Experience with data testing (functional and automated) including proper documentation procedures and automation principles

What makes you stand out:
  • Familiarity with data processing frameworks, particularly Apache Spark.
  • Experience working with cloud platforms such as AWS or Azure
  • Experience with AI integration on test environments
  • Ability to manage QA Engineers and guide through SCRUM calls
  • Familiarity with data warehousing solutions and technologies, including Databricks and Snowflake.

Why join our team:
  • We help you be your best through professional development opportunities, interesting work and supportive leaders.
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

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