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

Peterson Company

Data Analyst

Auburn, WA · On-site

$70K - $140K/yr

SUMMARY OF POSITION The Data Analyst - Category & Supplier Insights transforms syndicated POS data and demand signals into actionable intelligence that drives growth across retailers, brands, and ...

Porch.com, Inc.

Insurance Data Analyst

Seattle, WA · On-site

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is bright for the Porch Group, and we'd love for you to be a part of it as our Insurance Data Analyst.

HealthPoint

Data Analyst II

Renton, WA · On-site

$81K - $129K/yr

The Data Analyst II is responsible for navigating the wealth of data and turning it into actionable and insightful information. They will perform business case analysis, which measures or quantifies ...

Coupang Internal

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

Job Overview As a Senior Data Analyst, you will partner with leaders across product, platform engineering, and business teams. You will work closely with cross-functional partners to translate ...

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Job Overview As a Senior Data Analyst, you will partner with leaders across product, platform engineering, and business teams. You will work closely with cross-functional partners to translate ...

Coupang

Senior Data Analyst

Seattle, WA

$114K - $196K/yr

Job Overview As a Senior Data Analyst, you will partner with leaders across product, platform engineering, and business teams. You will work closely with cross-functional partners to translate ...

Amazon

Data Analyst, Returns SX

Bellevue, WA · On-site

As a Data Analyst, you will be responsible for modeling complex problems, discovering insights and ... area, including weekends, nights, and/or holidays PREFERRED QUALIFICATIONS - Knowledge of Lean ...

Meta

Data Analyst, Global Operations

Seattle, WA

$125K/yr

As a data analyst in global operations, you'll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic ...

Amazon

Data Analyst, Returns SX

Bellevue, WA

As a Data Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization ...

Amazon

Data Analyst, Returns SX

Bellevue, WA

As a Data Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization ...

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 ...

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 ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Fife, WA

Weekend Data Analyst information

See Fife, WA salary details

$36.5K

$88.7K

$145.9K

How much do weekend data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for weekend data analyst in Fife, WA is $88,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $104,100.00 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 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.
More about Weekend Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Fife, WA?

The most popular types of Data Analyst jobs in Fife, WA are:

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For Weekend Data Analyst jobs in Fife, WA, the most frequently searched job titles are:

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The top searched job categories for Weekend Data Analyst jobs in Fife, WA are:

What cities near Fife, WA are hiring for Weekend Data Analyst jobs?

Cities near Fife, WA with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Fife, WA as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $88,674 per year, or $42.6 per hour.

Data Analyst

Peterson Company

Auburn, WA • On-site

$70K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago

Job description

WHO WE ARE

Opening our doors in 1947, we are a third-generation, family-owned and operated direct importer, converter, and full-service distributor. We value the connections made over the bond people share through food, whether they are internal or external. For more information about who we are, please visit Peterson Company (petersoncheese.com).

SUMMARY OF POSITION

The Data Analyst – Category & Supplier Insights transforms syndicated POS data and demand signals into actionable intelligence that drives growth across retailers, brands, and SKUs. Reporting to the Director FP&A, this role partners closely with Sales to track real-time demand patterns, analyze performance trends, and translate data into clear recommendations that influence sales strategy, category decisions, and inventory management at both the warehouse and account level — ensuring the right product is in the right place, at the right time.


KEY RESPONSIBILITIES

  • Data Analysis & Insights Development – Analyze syndicated POS data (Spins, Circana/IRI, Nielsen) across retailers, brands, categories, and SKUs. Extract, clean, and manage large datasets to identify trends, patterns, and performance drivers.
  • Category & SKU Performance – Monitor and evaluate performance at the retailer, brand, and SKU level. Identify distribution gaps, velocity opportunities, and assortment optimization strategies.
  • Strategic Recommendations – Translate insights into actionable recommendations for internal teams, retail partners, and brand stakeholders. Support category reviews, line reviews, and business planning with data-backed strategies.
  • Reporting & Visualization – Build and maintain dashboards, reports, and presentations that clearly communicate key insights. Customize analyses for different audiences, including sales, marketing, and leadership teams.
  • Collaboration – Partner with Sales, Category Management, and Marketing teams to align insights with business objectives. Support customer-facing presentations with data storytelling and strategic recommendations.

What You Will Bring:

Required

  • Bachelor’s degree in Data Analytics, Business, Marketing, Economics, or related field
  • 2–5+ years of experience in data analytics, preferably in CPG, food distribution, or retail
  • Strong experience with syndicated POS data (Spins, Circana/IRI, Nielsen, etc.)
  • Advanced proficiency in Excel; experience with BI tools (Power BI, Tableau) preferred
  • Strong analytical thinking with the ability to turn data into actionable insights
  • Excellent communication and storytelling skills

Preferred

  • Experience working with retailer data portals
  • Familiarity with category management principles
  • SQL or data querying experience is a plus

What We Bring:

Compensation — In accordance with Washington state law, in good-faith, the total annual compensation is estimated between $70,000 and $140,000 (cumulative of base salary, bonus opportunities, and other perquisites), with final base salary determined by skills and experience.

Medical, Dental & Vision Coverage — Comprehensive insurance plans are available to eligible employees and their covered dependents.

Life Insurance — Peterson Company provides $25,000 in employer‑paid basic life insurance policy, with additional voluntary coverage options available.

401(k) Retirement Plan — Employees may begin contributing after 30 days of employment. Peterson Company matches approximately $0.30 per dollar up to 6% of eligible income. A dedicated financial partner is available to support investment education and planning.



Equal Opportunity Statement: The Peterson Company is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, physical or mental disability, sexual orientation, marital status, military or veteran status, gender identity or expression, genetic information, or any other factor protected by law.