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Retail Data Analyst Jobs in Oregon (NOW HIRING)

Cordance

Data Architect

OR · On-site +1

$63.75 - $82/hr

... analytics capabilities across Solutions, Secure Retail, Upright, and Pearl Dive. This is a hands-on technical leadership role for someone who can turn fragmented operational data and customer ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity to become part of a fast-growing, revolutionary fintech company shaping the future of retail futures ...

Instacart

Senior Financial Analyst, Retailer

OR · On-site +1

$85K - $106K/yr

We are seeking a Senior Financial Analyst to accelerate retailer deal flow and portfolio ... Retail Partnerships, Deal Desk, Legal, Revenue Operations, Data Science, and Accounting. In this ...

YipitData

Data Classification Associate, Corporate

OR · On-site +1

$16 - $20.75/hr

Experience supporting market intelligence or data analytics with brand manufacturers and/or retailers, with a strong understanding of their business needs What We Offer: Our compensation package ...

North Highland

Data Governance Lead

Beaverton, OR · On-site

$90 - $130/hr

We're seeking a Data Governance Lead to establish a robust data foundation for our retail practice ... analytics and engineering. * Hands‑on comfort with data governance tools and technologies in ...

Procom Services

Business Analyst

Hillsboro, OR

Engage with HQ and geo retail, channel and IT, SEO analysts on basic data and cube/tool related issues * Documentation of CCG (Consumer Channels Group )Operations business processes for a 'desk ...

YipitData

Insights Associate - Retail

OR · On-site +1

$15 - $16.50/hr

A passion for data analysis; SQL and/or Python experience is preferred, not required, but a ... Experience in collaborating with brand manufacturers and/or retailers and an understanding of their ...

Tires Les Schwab

Lead Pricing Analyst

Bend, OR · On-site

Architect, manage, and continuously refine value-based, market-back retail pricing models across ... Own competitive market mapping by establishing automated data scrapes and synthesizing third-party ...

Les Schwab Tire Center

Lead Pricing Analyst

Bend, OR · On-site

Architect, manage, and continuously refine value-based, market-back retail pricing models across ... Own competitive market mapping by establishing automated data scrapes and synthesizing third-party ...

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Showing results 21-40

All JobsRetail Data Analyst JobsRetail Data Analyst Jobs in Oregon

Retail Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do retail data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for retail data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What is a retail data analyst?

A Retail Data Analyst collects, analyzes, and interprets sales and consumer data to help businesses optimize their retail strategies. They use data-driven insights to improve pricing, inventory management, marketing campaigns, and customer experience. Their role often involves working with databases, visualization tools, and statistical models to identify trends and opportunities. By leveraging data, they help retailers make informed decisions that drive sales and profitability.

What are the key skills and qualifications needed to thrive as a retail data analyst?

To thrive as a Retail Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid educational background in mathematics, economics, or a related field. Experience with data analysis tools such as Excel, SQL, Tableau, and often Python or R, along with relevant data analytics certifications, is highly valued. Excellent communication, attention to detail, and problem-solving abilities help candidates translate complex data into actionable business insights. These skills are crucial for turning retail data into strategies that drive sales, optimize inventory, and improve the customer experience.

What are the typical career paths and advancement opportunities for a retail data analyst?

Retail Data Analysts often start by working closely with merchandising, marketing, and operations teams to provide insights on sales trends, customer behavior, and inventory management. Over time, successful analysts can move into senior analyst positions, specialized roles (such as pricing or supply chain analytics), or even transition into management as analytics or business intelligence leads. Many organizations support professional development through training or cross-functional projects, allowing for growth into broader analytics, data science, or strategy roles. This field offers abundant opportunities for those interested in growing their technical expertise and business acumen.

What does a retail data analyst do?

A retail data analyst collects, analyzes, and interprets sales, inventory, and customer data to help retail businesses make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, optimize stock levels, and improve sales strategies. Strong analytical skills and understanding of retail operations are essential for this role.

What is data analytics in retail?

Data analytics in retail involves examining large sets of sales, customer, and inventory data to identify patterns, trends, and insights that support decision-making. Retail data analysts use tools like Excel, SQL, and data visualization software to optimize inventory, improve customer experience, and increase sales efficiency.

What are the most commonly searched types of Retail Data Analyst jobs in Oregon?

The most popular types of Retail Data Analyst jobs in Oregon are:

What are popular job titles related to Retail Data Analyst jobs in Oregon?

For Retail Data Analyst jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Retail Data Analyst jobs in Oregon look for?

The top searched job categories for Retail Data Analyst jobs in Oregon are:

Retail Data Analyst jobs near you
Infographic showing various Retail Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR

Full-time

Re-posted 18 days ago

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist - Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.

You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.

Key Responsibilities

  • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
  • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
  • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
  • Perform large-scale data extraction, transformation, and analysis using SQL
  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
  • Translate business problems into analytical solutions.
  • Present model insights and recommendations to senior client stakeholders.
  • Lead workshops and forecasting strategy discussions with clients.
  • Implement and operationalize models in cloud environments
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Requirements

    • 10+ years of experience in applied data science or advanced analytics
    • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
    • Strong domain experience in CPG, FMCG, retail, or similar industries
    • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
    • Strong SQL skills for large-scale data processing
    • Proven experience deploying models in cloud environments (Azure preferred)

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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