ZipRecruiter

Log In

1

Weekend Data Analyst Jobs in Des Moines, IA (NOW HIRING)

NCMIC

Data Analyst III

Clive, IA · On-site

Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical ...

NCMIC

Data Analyst III

Clive, IA · On-site

Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical ...

NCMIC

Data Analyst III

Clive, IA · On-site

Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical ...

DSI

Financial Data Analyst

Urbandale, IA · On-site

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

DSI

Financial Data Analyst

Urbandale, IA · On-site

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

DSI Systems Inc.

Financial Data Analyst

Urbandale, IA · On-site

$60 - $80/hr

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

DSI

Financial Data Analyst

Urbandale, IA

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

Landus

Sales & Business Data Lead

Boone, IA · On-site

Analyze sales data to identify growth opportunities, pricing trends, and customer purchasing patterns. Provide actionable business insights to VP of Sales and Territory Business Managers. Support ...

Landus

Sales & Business Data Lead

Boone, IA · On-site

Primary Responsibilities Sales Analytics & Business Intelligence • Develop and maintain sales dashboards, reports, and key performance indicators (KPIs) that measure sales performance ...

next page

Showing results 1-20

All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Des Moines, IA

Weekend Data Analyst information

See Des Moines, IA salary details

$33.2K

$80.7K

$132.7K

How much do weekend data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for weekend data analyst in Des Moines, IA is $80,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 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.
More about Weekend Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Des Moines, IA?

The most popular types of Data Analyst jobs in Des Moines, IA are:

What are popular job titles related to Weekend Data Analyst jobs in Des Moines, IA?

For Weekend Data Analyst jobs in Des Moines, IA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst jobs in Des Moines, IA look for?

The top searched job categories for Weekend Data Analyst jobs in Des Moines, IA are:

What cities near Des Moines, IA are hiring for Weekend Data Analyst jobs?

Cities near Des Moines, IA with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Des Moines, IA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,650 per year, or $38.8 per hour.

Data Analyst III

NCMIC

Clive, IA • On-site

Full-time

Re-posted 4 days ago

Job description

Position Purpose:   

Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical implementation.

Acts as the primary analytical owner for reporting and data initiatives, translating business needs into structured data definitions and validation logic. Partners closely with Data Engineers to ensure accurate implementation within established data models and architectural standards.

Independently leads small to medium initiatives and contributes significantly to larger efforts by bringing forward well-developed recommendations and risk assessments prior to implementation.

Essential Functions:

 

Gathers and defines reporting and data requirements in collaboration with managers and operational stakeholders. Translates business needs into data definitions, transformation rules, validation criteria, and reporting specifications. Ensures requirements are complete and testable prior to development.

 

Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy. Reconciles discrepancies and confirms adherence to defined business rules. Collaborates with Data Engineers to resolve issues and refine logic as needed.

  

Coordinates and executes UAT efforts to confirm solutions meet defined functional and data accuracy requirements. Documents findings and ensures corrections are addressed prior to production release.

 

Traces data flow across systems to assess downstream impacts of new data elements or definition changes. Identifies risks and dependencies and communicates findings and recommendations as appropriate.

Reinforces enterprise data definitions, naming conventions, and documentation practices. Identifies inconsistencies in business logic and recommends improvements. Provides mentorship and peer guidance as the analyst function grows.

 

Performs other duties as assigned.

 

Requirements:

Education:   Bachelor’s degree in Business Administration, Computer Science, Management Information Systems, or related field; or equivalent combination of education and experience.

Experience: 

  • 4–6 years in data analysis, reporting, or data warehouse environments with increasing responsibility.
  • Demonstrated leadership in requirements gathering and user acceptance testing efforts.
  • Proven ability to validate and reconcile data within ETL or warehouse solutions.
  • Strong track record translating business rules into structured data definitions and technical specifications.
  • Industry knowledge in insurance or financial services preferred.

Skills: 

  • Advanced proficiency in SQL and strong working knowledge of relational and warehouse data environments.
  • Ability to define, document, and validate business data logic with precision.
  • Demonstrated strength in structured problem-solving, impact analysis, and issue resolution.
  • Effective communicator capable of engaging technical teams and business stakeholders.
  • Demonstrates accountability and sound judgment while managing multiple concurrent initiatives.

Mental Demands: Ability to analyze complex business and data scenarios with limited direction. Ability to interpret requirements, evaluate alternatives, and identify root causes through structured problem-solving. Must be able to manage multiple initiatives, communicate findings clearly, and maintain a high level of accuracy while working under deadlines. Ability to adapt to changing priorities and collaborate effectively with technical and business stakeholders.

Physical Demands: Continuous sitting for extended periods of time, some standing, walking, bending and reaching. Frequent use of fingers and hands to manipulate computer, telephone and other office equipment. Ability to be able to look and concentrate at a computer screen/monitor for extended periods of time.

Apply