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Weekend Data Analytics Jobs in Yakima, WA (NOW HIRING)

Talent ACQ

Data Analyst

Yakima, WA

$33 - $38.50/hr

Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Information Systems, Statistics, Finance, or a related field; equivalent experience may be considered. * 3+ years of ...

MultiCare

Medical Technologist- Day Shift

Yakima, WA · On-site

$35.87 - $51.61/hr

Rotating weekends, 10-hour shifts Position Summary The Medical Technologist is an excellent ... data analysis, results reporting, instrument maintenance and technical problem resolution. This ...

MultiCare

Medical Lab Technician

Yakima, WA · On-site

$25.57 - $36.80/hr

Days, Schedule: 10 hour shifts, alternating weekends Position Summary The Medical Lab Technician ... data analysis and technical problem resolutions. Responsibilities: * You will receive specimens ...

Asteroom

Home Inspector

Yakima, WA · On-site

$60 - $75/hr

... property data collection, virtual tours, and relevant industry knowledge Strong analytical ... Choose your own hours Day shift Monday to Friday Weekends as needed License/Certification: Driver ...

Asteroom

Home Inspector

Yakima, WA

$60 - $75/hr

... property data collection, virtual tours, and relevant industry knowledge Strong analytical ... Choose your own hours Day shift Monday to Friday Weekends as needed License/Certification: Driver ...

Asteroom

Home Inspector

Yakima, WA · On-site

$60 - $75/hr

... data collection, virtual tours, and relevant industry knowledge • Strong analytical ... Weekends as needed License/Certification: • Driver's License (Required)

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All JobsData Analytics JobsWeekend Data Analytics JobsWeekend Data Analytics Jobs in Yakima, WA

Weekend Data Analytics information

See Yakima, WA salary details

$34.1K

$82.8K

$136.3K

How much do weekend data analytics jobs pay per year?

As of Aug 24, 2026, the average yearly pay for weekend data analytics in Yakima, WA is $82,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,200.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analytics vs Data Analyst?

AspectWeekend Data AnalyticsData Analyst
CredentialsBachelor's degree in data-related field, certifications like Google Data AnalyticsBachelor's or higher in data, statistics, or related fields, certifications optional
Work EnvironmentPart-time, flexible hours, often remote or on-site during weekendsFull-time, standard weekday hours, typically on-site or hybrid
Industry UsageUsed in industries needing weekend data support, such as retail or hospitalityUsed across various industries for data analysis, reporting, and insights

Weekend Data Analytics roles focus on part-time, flexible weekend work, often requiring specific certifications and catering to industries with weekend operations. Data Analysts typically work full-time during weekdays, handling broader data tasks across multiple sectors. Both roles involve data skills but differ mainly in schedule and scope.

Do data analysts work on weekends?

Data analysts typically work standard weekday hours, but they may occasionally work on weekends to meet project deadlines or analyze time-sensitive data. Weekend work is more common in roles with urgent reporting needs or in industries that operate 24/7, and it often depends on the company's policies and project requirements.

What are the most commonly searched types of Data Analytics jobs in Yakima, WA?

The most popular types of Data Analytics jobs in Yakima, WA are:

What cities near Yakima, WA are hiring for Weekend Data Analytics jobs?

Cities near Yakima, WA with the most Weekend Data Analytics job openings:

Weekend Data Analytics jobs near you

Data Analyst

Yakima, WA

Talent ACQ
See more jobs at Talent ACQexternal

$33 - $38.50/hr

Full-time

Re-posted yesterday

Job description

Sales Data Analyst


About the Role

We are seeking a highly analytical and business-focused Sales Data Analyst to support sales strategy, revenue growth, and operational excellence through data-driven insights. This role is responsible for collecting, analyzing, and interpreting sales and business data to help leaders make informed decisions, identify opportunities, improve customer targeting, and optimize performance.

The ideal candidate combines strong technical skills with business acumen and can translate complex datasets into actionable recommendations through reporting, visualization, and storytelling.


Key Responsibilities

• Analyze sales, customer, operational, and financial data to identify trends, opportunities, risks, and performance drivers.

• Develop dashboards, reports, scorecards, and visualizations using tools such as Power BI, Tableau, Qlik, Excel, and SQL.

• Partner with Sales, Marketing, Finance, Supply Chain, Customer Service, and Operations teams to deliver actionable business insights.

• Monitor key performance indicators (KPIs) including revenue growth, customer retention, pipeline velocity, conversion rates, and sales effectiveness.

• Design and maintain recurring reports that support business planning and decision-making.

• Perform data validation, cleansing, and auditing to ensure data integrity and reporting accuracy.

• Extract, transform, and load (ETL) data from multiple systems to create reliable and scalable reporting solutions.

• Conduct root cause analysis to identify business challenges and recommend process improvements.

• Create compelling visual stories that clearly communicate findings and recommendations to stakeholders.

• Support ad hoc reporting and analysis requests from leadership and business partners.

• Collaborate with cross-functional teams to develop new metrics and measurement frameworks.

• Continuously improve reporting processes, automation, and analytics capabilities.


Required Qualifications

• Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Information Systems, Statistics, Finance, or a related field; equivalent experience may be considered.

• 3+ years of experience in data analysis, business intelligence, sales analytics, or a related analytical role.

• Advanced proficiency in SQL and Microsoft Excel.

• Experience with business intelligence and data visualization platforms such as Power BI, Tableau, or Qlik.

• Strong understanding of relational databases and data modeling concepts.

• Experience analyzing large datasets and transforming data into actionable business insights.

• Excellent problem-solving, communication, and presentation skills.

• Ability to work independently while managing multiple priorities in a fast-paced environment.


Preferred Qualifications

• Experience with CRM platforms such as Salesforce, Microsoft Dynamics, or HubSpot.

• Experience with ETL tools such as Alteryx, SSIS, Talend, or similar platforms.

• Knowledge of forecasting, sales performance analytics, and KPI development.

• Experience working with ERP systems and enterprise reporting environments.

• Familiarity with IBM DB2 or other enterprise database platforms.


Skills

• Sales Analytics

• Business Intelligence

• Data Visualization

• SQL

• Power BI

• Tableau

• Excel

• ETL Processes

• KPI Development

• Dashboard Design

• Data Quality Management

• Forecasting & Trend Analysis

• Cross-Functional Collaboration

• Data Storytelling

• Process Improvement