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Weekend Data Analyst Jobs in Covington, KY (NOW HIRING)

Leverage SQL effectively to access, analyze, and validate data by writing accurate, efficient queries; applying appropriate performance techniques; and continuously improving data quality, insight ...

New

Data Analytics 5 - Operations

Cincinnati, OH · On-site

$82K - $104K/yr

We're seeking a Senior Data Analyst who loves working with data, asking the right questions, and turning ambiguity into clear, actionable solutions. If you're highly technical, curious by nature, and ...

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Weekend Data Analyst information

See Covington, KY salary details

$33K

$80.2K

$132K

How much do weekend data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for weekend data analyst in Covington, KY is $80,213.00, 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.

What are the most commonly searched types of Data Analyst jobs in Covington, KY?

The most popular types of Data Analyst jobs in Covington, KY are:

What job categories do people searching Weekend Data Analyst jobs in Covington, KY look for?

The top searched job categories for Weekend Data Analyst jobs in Covington, KY are:

What cities near Covington, KY are hiring for Weekend Data Analyst jobs?

Cities near Covington, KY with the most Weekend Data Analyst job openings:

Senior Data Business Analyst

Great American Insurance Group

Cincinnati, OH • On-site

$82K - $104K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

56th of 311 rated insurance


Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
The Crop Division of Great American has been helping generations of farmers take control of their risks since 1915. The Division is also one of a select few private companies authorized by the United States Department of Agriculture Risk Management Agency (USDA RMA) to write MPCI policies. With six regional offices throughout the U.S., the teams provide tremendous expertise in the specific needs of farmers and crops.
As one of the largest Crop insurers in the country, Great American is recognized as a leader in this specialized marketplace. We are seeking a strategic and dynamic leader to join our GREAT team.
https://www.greatamericancrop.com/
Great American's culture is built on connection, shared learning, and strong relationships. This is a hybrid role that combines in-office and remote work. Employees are expected to maintain a meaningful on-site presence to support collaboration, relationship building, and business success.
Essential Job Functions and Responsibilities:
- Protect compliance and minimize financial exposure by detecting, triaging, and resolving processing errors with rigor and speed, prioritizing items with imminent cutoff impacts, communicating status and decisions to stakeholders, and identifying and implementing prevention measures that reduce error incidence over time.
- Monitor, prioritize, analyze, and resolve daily error feeds/queues, keeping stakeholders informed of progress.
- Coordinate with upstream/downstream teams to implement fixes and champion prevention initiatives
Ensure timely, accurate, and compliant implementation of Crop Insurance requirements by proactively tracking changes, coordinating cross-functional delivery, validating technical changes with rigorous testing, communicating downstream impacts to stakeholders, and keeping the knowledge base and documentation current.
- Draft clear technical specifications referencing record layouts, field definitions, validations, and cross-field rules.
- Author test plans/cases (positive/negative, regression) and document results.
- Maintain knowledge base and system documentation.
- Facilitate demos or reviews with IT and business teams.
Leverage SQL effectively to access, analyze, and validate data by writing accurate, efficient queries; applying appropriate performance techniques; and continuously improving data quality, insight delivery, and business outcomes.
- Write intermediate to advanced SQL queries, with security and optimization given the highest attention.
- Validate and reconcile data across multiple sources and business expectations.
- Troubleshooting data discrepancies, quality, and/or performance issues.
- Document query logic and assumptions clearly.
- Develop reusable query assets for recurring analysis or reporting.
Deliver reliable, responsive, and compliant customer support by managing and prioritizing requests, resolving user issues and questions, improving self-service resources, and analyzing trends to proactively reduce incidents and improve customer experience and business outcomes.
- Manage request queues, discussions, and workflows.
- Serve as point-of-contact for key business partners; manage expectations and timelines.
- Solve issues and requests for responsbility areas.
- Drive automation and AI-assisted triage where appropriate.
Minimum Qualifications:
- Bachelor's degree in Business, Information Technology, Computer Science, Agriculture, Agronomy, Agricultural Economics, or related field
- Combined 5+ years of:
- Business analysis experience including requirements elicitation, process modeling, and system implementation
- Data analysis experience with demonstrated SQL and analytical capabilities
- Strong analytical and problem-solving abilities
- Excellent written and verbal communication skills
- Proficiency with Microsoft Office Suite
- Ability to learn new technical tools and methodologies quickly
Preferred Qualifications:
- 10+ years of combined business analysis and data analysis experience
- Knowledge of crop insurance programs, agricultural risk management, or farming operations
- Experience leading complex, enterprise-level initiatives
- Experience with both Agile and Waterfall methodologies
- Data visualization tools experience (Tableau, Power BI)
- Previous mentoring or team leadership experience
Business Unit:
Crop
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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