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Retail Data Collection Jobs in California (NOW HIRING)

Wiliot

Data Solutions Analyst

San Mateo, CA · On-site

... retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and ... collection issues, tag placement, configuration gaps, integration issues) · Translate data into ...

Workstream Labs

Video Data Collector

Menlo Park, CA

$20 - $25/hr

... data collection program. In this role, you'll complete everyday activities while wearing ... Complete common household, workplace, or retail-style activities * Perform basic cleaning and ...

Perdue Farms

Dry Yield Data Collector

Petaluma, CA

$24 - $25.70/hr

... retail and foodservice customers around the globe while changing the way animals are raised for ... You will ensure accurate data collection and reporting while partnering with operations to ...

Perdue Farms

Dry Yield Data Collector

Petaluma, CA

$24 - $25.70/hr

... retail and foodservice customers around the globe while changing the way animals are raised for ... You will ensure accurate data collection and reporting while partnering with operations to ...

Perdue Farms

Dry Yield Data Collector

Petaluma, CA · On-site

$24 - $25.70/hr

... retail and foodservice customers around the globe while changing the way animals are raised for ... You will ensure accurate data collection and reporting while partnering with operations to ...

Perdue Farms

Dry Yield Data Collector

Petaluma, CA · On-site

$24 - $25.70/hr

... retail and foodservice customers around the globe while changing the way animals are raised for ... You will ensure accurate data collection and reporting while partnering with operations to ...

Ross Stores

Engineer, Industrial

Shafter, CA · On-site

$70K - $82K/yr

Bring your talents to Ross, our leading off-price retail chain with over 2,200 stores, and a strong ... Maintains the existing data collection applications along with other SQL and MS Access based ...

Ross Stores

Engineer, Industrial

Shafter, CA

$70K - $82K/yr

Bring your talents to Ross, our leading off-price retail chain with over 2,200 stores, and a strong ... Maintains the existing data collection applications along with other SQL and MS Access based ...

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Retail Data Collection information

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$13

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$63

How much do retail data collection jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for retail data collection in California is $31.78, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $38.89 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in Retail Data Collection?

A typical day in Retail Data Collection involves visiting store locations, gathering product, pricing, or inventory data by scanning barcodes, photographing displays, or conducting visual audits, and accurately entering that information into digital systems. You might work independently or as part of a small team, often coordinating with store managers or retail staff to access specific areas. The role can require travel between multiple store locations and adherence to specific collection schedules. Attention to detail and time management are crucial, as your work directly supports business analytics and strategic decisions for the company.

What are the key skills and qualifications needed to thrive in the Retail Data Collection position, and why are they important?

To excel in Retail Data Collection, you need strong attention to detail, analytical abilities, and familiarity with data entry or survey methodologies, often supported by a high school diploma or relevant experience. Experience with data collection tools, handheld scanners, mobile apps, or inventory management systems is beneficial. Excellent communication, organizational skills, and reliability set candidates apart in this position. These competencies ensure accurate, timely data capture and facilitate meaningful insights for retail decision-making.

What is a Retail Data Collection job?

A Retail Data Collection job involves gathering and analyzing data from retail stores to track product availability, pricing, promotions, and consumer behavior. This data helps businesses make informed decisions about inventory management, marketing strategies, and product placement. Workers may collect data manually through store visits or use digital tools such as mobile apps and scanners. Accuracy and attention to detail are important in this role, as the information gathered directly impacts business decisions.

What are the most commonly searched types of Retail Data Collection jobs in California? The most popular types of Retail Data Collection jobs in California are:
What are popular job titles related to Retail Data Collection jobs in California? For Retail Data Collection jobs in California, the most frequently searched job titles are:
What job categories do people searching Retail Data Collection jobs in California look for? The top searched job categories for Retail Data Collection jobs in California are:
What cities in California are hiring for Retail Data Collection jobs? Cities in California with the most Retail Data Collection job openings:
Retail Data Collection jobs near you
Infographic showing various Retail Data Collection job openings in California as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $66,109 per year, or $31.8 per hour.
Data Solutions Analyst

Data Solutions Analyst

Wiliot

San Mateo, CA • On-site

Full-time

Re-posted 14 days ago

Job description

Wiliot was founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the world’s largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo.

We are growing fast and need people that want to be part of the journey, commercializing Sensing as a Service and enabling “Intelligence for Everyday Thing”.

About the Role

We are looking for a Data Solutions Team Lead to join our delivery teams and work closely with customers on real-world IoT deployments.

In this role, you will be responsible for monitoring, analyzing, and improving the quality and performance of data generated from customer environments. You will work as part of cross-functional Scrum teams, partnering with customers, product, and engineering to ensure successful deployments and meaningful data outcomes.

This is a highly customer-facing, hands-on role that sits at the intersection of data, operations, and product.


Responsibilities

· Work closely with customers as part of ongoing projects and deployments

· Monitor real-time data streams and system performance across customer environments

· Analyze data to identify trends, gaps, and anomalies in performance and data quality

· Investigate issues and perform root cause analysis (e.g. data collection issues, tag placement, configuration gaps, integration issues)

· Translate data into clear, actionable insights for both customers and internal teams

· Build dashboards and visualizations to communicate system performance and business impact

· Partner with FDE, Product, and Engineering teams to improve solutions and close gaps

· Escalate product or data issues and collaborate with internal teams to drive resolution

· Guide customers and field teams on best practices to improve deployment performance and data quality

Requirements

· Bachelor's degree in Math, CS, data science/engineering or equivalent analytical degree

· 3–5+ years of experience in data analysis, technical customer-facing roles, or similar

· Architecture experience in big data, data warehousing, operational analytics and integration.

· Optimize the performance of big data systems to design and implement efficient analytics algorithms.

· Strong Python skills

· Experience with SPARK strongly preferred.

· Visualization tools experience including UI design (Plotly, Tableau, PowerBI, Grafana)

· Understanding of statistical analysis and relational database structures (SQL, Influxdb a plus)

· Strong analytical and quantitative problem-solving abilities

· Excellent interpersonal and communication skills

· Ability to be self-sufficient and execute quickly when given autonomy

· Experience with IoT data streams and business context a plus

· Flexible team player who will thrive in a dynamic, constantly evolving environment


#LI-Hybrid


Requirements:
None