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Weekend Data Analyst Jobs in Kansas (NOW HIRING)

Lockton, Inc.

Data Analyst

Overland Park, KS · On-site

The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data, obtained from a variety of different sources. It involves development and preparation of information ...

Turn5, Inc.

Data Analyst

Lenexa, KS · On-site

To continue our growth path, we need a Remote Data Analyst to leverage analytics technology to create, update, and analyze reports for various business units and processes. As a part of the Product ...

Chubb

Data Analyst

Overland Park, KS · On-site

As a Data Analyst on our Strategic Outcomes and Data Analytics team, you'll be immersed in a collaborative, fast-paced, and dynamic environment where your ability to stay thoughtful, focused ...

MMGY Global

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

MMGY Global

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

WellSky

Staff Data Analyst

Overland Park, KS · On-site

$2.5K/yr

The Staff Data Analyst isresponsible forperforming statistical modeling and data analysis to develop metrics, reports, and visualizations thatidentifytrends and patterns of business importance. The ...

DPDHL

Business Data Analyst II

Wichita, KS

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 ...

DHL

Business Data Analyst II

Wichita, KS · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 ...

Panasonic

Sr. Manufacturing Data Analyst

De Soto, KS · On-site

$82K - $104K/yr

Responsibilities Sr. Manufacturing Data Analyst (by clicking this link you are being referred to an external site that is not part of Panasonic) Meet the Recruiter: Anh Martin Summary: Join us at ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Kansas

Weekend Data Analyst information

See Kansas salary details

$30.3K

$73.7K

$121.3K

How much do weekend data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for weekend data analyst in Kansas is $73,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,500.00 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 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 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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

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.
More about Weekend Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Kansas? The most popular types of Data Analyst jobs in Kansas are:
What are popular job titles related to Weekend Data Analyst jobs in Kansas? For Weekend Data Analyst jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Kansas look for? The top searched job categories for Weekend Data Analyst jobs in Kansas are:
What cities in Kansas are hiring for Weekend Data Analyst jobs? Cities in Kansas with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Kansas as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,702 per year, or $35.4 per hour.
Data Analyst

Data Analyst

Lockton, Inc.

Overland Park, KS • On-site

Full-time

Posted 14 days ago

Lockton rating

9.1

Company rating: 9.1 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

23rd of 281 rated insurance

Job description

Job Summary:
The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data, obtained from a variety of different sources. It involves development and preparation of information, reconciliations and reports for management, Associates, and other custom-built applications.
Essential Duties:
• Subject matter expert for finance, client premium and revenue data
• Generate standard and ad hoc reports on a regular basis
• Create Excel based data analysis tools to identify variances with macros
• The data analyst must be able to recognize data issues and work with providers of data to resolve problems
• Provides consulting, training, reporting and primary technical support as need for data intensive projects throughout the project lifecycle including post go-live
• Responsible for monitoring progress and maintaining responsibility for delivering project deliverables accurately and on time
• Ad hoc technical analysis of jobs, queries, reports, & other items across ERPs & Systems
Other Responsibilities:
• Makes decisions in compliance with established corporate and department standards
• Provides exceptional customer service and adheres to the Lockton philosophie
Requirements:
• BS/BA degree required
• At least 3 years of experience in data analysis in the insurance industry or related field
• At least 3 years of experience in working with project teams in an information technology environment
• Proficiency with Microsoft SQL, Microsoft Excel, Microsoft PowerBI and VBA for Excel macros
• Use advanced Excel capabilities, including pivot tables, lookups, complex formulas and graphing
• Familiarity with PeopleSoft query and nVision or Oracle Fusion and OTBI a plus
• Ability to express complex technical concepts effectively, both verbally and written
• Ability to work well with & and describe tasks to non-technical users
• Demonstrated ability to analyze data in a variety of formats and to provide recommendations and support in establishing strategic plans for undertaking data conversions
• Demonstrated effectiveness in working with multi-functional teams in a technical production environment
• Demonstrated ability to respond to customer requirements with timely and effective technical solutions
• Ability to synthesize data from multiple sources
• Superior attention to detail
• Ability to multitask without sacrificing the quality and accuracy of project deliverables
• Some overtime, off-shift support and travel may be required
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