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Weekend Data Analyst Jobs in Renton, WA (NOW HIRING)

HCL

Business Data Analyst

Bellevue, WA · On-site

In-depth knowledge of Adobe Analytics reporting concepts eVars, Props, Processing Rules, Classifications, data layer, etc * Interim level knowledge and experience with Adobe Marketing Cloud Analysis ...

Costco

Data Analyst - Asset Reporting

Issaquah, WA · On-site

Data Analysts are responsible for importing, transforming, and validating (or querying) data with the purpose of understanding or drawing conclusions from the data to drive decision-making. They may ...

Costco

Data Analyst - Asset Reporting

Issaquah, WA

Data Analysts are responsible for importing, transforming, and validating (or querying) data with the purpose of understanding or drawing conclusions from the data to drive decision-making. They may ...

Costco

Data Analyst - Asset Reporting

Issaquah, WA

Data Analysts are responsible for importing, transforming, and validating (or querying) data with the purpose of understanding or drawing conclusions from the data to drive decision-making. They may ...

Uw

CTMS Data Analyst 1

Seattle, WA · On-site

$95K/yr

UW MEDICINE IT SERVICES has an outstanding job opportunity for a CTMS Data Analyst 1 position. (CTMS: OnCore Clinical Trials Management System) WORK SCHEDULE * 100% FTE - 40 hours per week * Day ...

University of Washington

CTMS Data Analyst 1

Seattle, WA · On-site +1

$95K/yr

UW MEDICINE IT SERVICES has an outstanding job opportunity for a CTMS Data Analyst 1 position. (CTMS: OnCore Clinical Trials Management System) WORK SCHEDULE * 100% FTE - 40 hours per week * Day ...

SRI Tech solutions Inc

Sr Health Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

The Sr. Data Analyst must be an exceptionally strong quantitative and analytically-oriented individual who is experienced, capable and comfortable working on dynamic, multi-faceted, fast-paced ...

SRI Tech solutions Inc

Sr Health Data Analyst

Seattle, WA

$97K - $123K/yr

The Sr. Data Analyst must be an exceptionally strong quantitative and analytically-oriented individual who is experienced, capable and comfortable working on dynamic, multi-faceted, fast-paced ...

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All JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Renton, WA

Weekend Data Analyst information

See Renton, WA salary details

$38.2K

$93K

$153K

How much do weekend data analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for weekend data analyst in Renton, WA is $92,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $109,100.00 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 visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently 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 valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

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 Renton, WA? The most popular types of Data Analyst jobs in Renton, WA are:
What job categories do people searching Weekend Data Analyst jobs in Renton, WA look for? The top searched job categories for Weekend Data Analyst jobs in Renton, WA are:
What cities near Renton, WA are hiring for Weekend Data Analyst jobs? Cities near Renton, WA with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you

Business Data Analyst

HCL

Bellevue, WA • On-site

Full-time

Posted 16 days ago

Job description

At Strong-Bridge Envision Consulting (an HCL Technologies company), we work as true partners both with our employees and our clients, embodying our number one value: People First. Our team is driven by a desire to always learn, improve, and innovate. We take an open-minded approach to opportunities and challenges and are focused on solving business challenges.
We deliver programs and projects that exceed stakeholder expectations. To be successful here, you will be a driver with a flexible working style, and excellent communication skills; you will think strategically and act tactically.
Strong-Bridge Envision Consulting (an HCL Technologies company) is seeking an experienced Business Analyst / Analytics Product Owner to join our firm as a dedicated full-time employee. This is a Seattle based opportunity; relocation is not provided.
Must have experience working on projects focused on analytics solutions and performance measurement.
Responsibilities:
  • Responsible for creating visualizations and workflows within the Adobe suite for delivery to product, marketing, and executive leadership.
  • Review and analyze historical KPIs and product performance metrics.
  • Decompose enterprise and channel-level strategy into meaningful product level goals and metrics.
  • Measure marketing campaign performance and digital (web, mobile, microsites, paid media, email, etc...) behavior across the end-to-end journey of a telecom customer.
  • Requirement elicitation: Facilitate meetings and workshops, create a shared understanding with stakeholders, and engage team members to gather and understand requirements.
  • Create acceptance criteria to express requirements. Ensure test and validation plans are complete.
  • Become a subject matter expert for assigned area and assist in program design and vision. Be the primary liaison between product managers, data engineers, and data visualization team members. Communicate scope changes to the delivery team.
  • Accountable for interpreting and explaining analytics outputs to support executive reviews, following up on corrections/errors, and remediation.

Qualifications:
  • Bachelor's degree, and 2 years of experience as an Adobe Analyst, working on projects focused on decision sciences and/or analytics solutions.
  • In-depth knowledge of Adobe Analytics reporting concepts eVars, Props, Processing Rules, Classifications, data layer, etc
  • Interim level knowledge and experience with Adobe Marketing Cloud Analysis Workspace
  • Prefer familiarity with other Adobe Marketing Cloud products Adobe Audience Manager and Adobe Test & Target
  • Preferred fluency in SQL with experience querying large databases.
  • Experience defining KPIs and metrics that are aligned to enterprise level objectives.
  • Expertise driving product big picture strategy that ties together priority and continuity across each feature delivery.
  • Excellent verbal and written communication skills and the ability to interact professionally with diverse groups, executives, managers, and subject matter experts.
  • Experience conducting stakeholder interviews and facilitating stakeholder workshops.
  • Ability to work independently and in fast-paced environments with tight deadlines and minimal supervision.
  • Extraordinary attention to detail.
  • Ability to work permanently in the U.S. on a full-time basis
  • Must be in the Seattle area or willing to relocate; with ability to work on the client site 100% of the time.

Desired Skills:
  • Prior client-facing management consulting experience.
  • A talent for multi-tasking, meeting deadlines, learning new skills and methodologies, and working under pressure in fast paced environment.
  • Flexible working style, ability to work in various types of client environments.
  • Excellent communication skills, and proven ability to communicate effectively across the organization.
  • Ability to lead decision making through influence, with the ability to make sound decisions in the best interest of the client as needed throughout the project lifecycle.
  • Collaborative working style with the ability to flex with many different types of working styles on client site.

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