ZipRecruiter

Log In

1

Data Solutions Analyst Jobs in California (NOW HIRING)

Wiliot

Data Solutions Analyst

San Mateo, CA · On-site

... 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 ...

Wiliot

Data Solutions Analyst

San Mateo, CA · On-site

... 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 ...

Wiliot

Data Solutions Analyst

San Francisco, CA · On-site

... 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 ...

Wiliot

Data Solutions Analyst

San Francisco, CA · On-site

... 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 ...

Grocery-Outlet

Data Solutions Architect

Emeryville, CA · On-site

$140 - $155/hr

As a Data Solution Architect, your role on the Business Technology team is focused on designing and implementing solutions for business using the SAP S/4. You'll be responsible for analyzing business ...

Grocery Outlet

Data Solutions Architect

Emeryville, CA · On-site

$140K - $155K/yr

As a Data Solution Architect, your role on the Business Technology team is focused on designing and implementing solutions for business using the SAP S/4. You'll be responsible for analyzing business ...

Epitec

Business Solutions Analyst

Los Angeles, CA · On-site

$53.01/hr

Develop process maps, workflow diagrams, data flow diagrams, use cases, and other business analysis ... solution recommendations. * Perform impact assessments, process evaluations, and cost-benefit ...

BakerHostetler

Data Solutions Engineer

Los Angeles, CA

$123K - $148K/yr

This role works across the data lifecycle, including data analysis, data modeling, data ... solutions development and business intelligence needs. • Design and develop scalable and ...

Exchange Bank

Business Solutions Analyst

Santa Rosa, CA · On-site

$69 - $100/hr

POSITION SUMMARY: The Business Solutions Analyst provides business analysis services to the ... Become proficient in using data mining techniques and system update tools. * Create reports using ...

Exchange Bank

Business Solutions Analyst

Santa Rosa, CA · On-site

$68K - $100K/yr

The Business Solutions Analyst provides business analysis services to the organization by tracking ... Become proficient in using data mining techniques and system update tools. * Create reports using ...

next page

Showing results 1-20

All JobsData Solutions Analyst JobsData Solutions Analyst Jobs in California

Data Solutions Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data solutions analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data solutions analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a data solutions analyst?

Data Solutions Analysts are professionals who collect, analyze, and interpret data to help organizations make informed business decisions. They design and implement data-driven solutions tailored to specific business needs, often working with large datasets and various analytical tools. Their responsibilities may include data modeling, reporting, and collaborating with other teams to ensure data accuracy and relevance. Data Solutions Analysts bridge the gap between business objectives and data technology, helping organizations optimize processes and achieve strategic goals.

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

To thrive as a Data Solutions Analyst, you need strong analytical abilities, proficiency in data modeling, and a background in computer science, statistics, or a related field. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and experience with databases are typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Excellent problem-solving, communication, and collaboration skills set candidates apart by enabling them to translate complex data insights into actionable business strategies. These skills are crucial for effectively transforming raw data into meaningful solutions that drive organizational decision-making and efficiency.

How does a data solutions analyst typically collaborate with cross-functional teams on data-driven projects?

As a Data Solutions Analyst, you will regularly collaborate with teams such as IT, marketing, sales, and business operations to gather requirements, understand business goals, and translate them into actionable data solutions. This role often involves facilitating workshops, developing data models, and communicating findings to both technical and non-technical stakeholders. Effective collaboration ensures that data solutions are aligned with organizational needs and that insights are clearly understood and implemented. Building strong relationships and maintaining open communication with various departments is key to success in this position.

What is the difference between Data Solutions Analyst vs Data Analyst?

AspectData Solutions AnalystData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified Data Analyst
Work EnvironmentCollaborates with IT teams, business units, and data engineers to develop data solutionsAnalyzes data sets, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and consulting firms focusing on data infrastructure and solutionsCommon across marketing, finance, healthcare, and retail sectors for data analysis

The Data Solutions Analyst focuses on designing and implementing data systems and solutions, working closely with technical teams. In contrast, the Data Analyst primarily interprets data, creates reports, and provides insights for decision-making. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities differ in scope and focus.

What does a data solutions analyst do?

A data solutions analyst evaluates and interprets data to help organizations make informed decisions. They design and implement data models, develop reports, and use tools like SQL and data visualization software to analyze large datasets and identify trends. Strong analytical skills and knowledge of data management are essential for this role.
Data Solutions Analyst jobs near you
Infographic showing various Data Solutions Analyst job openings in California as of August 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Solutions Analyst

Wiliot

San Mateo, CA • On-site

Full-time

Re-posted 19 days ago

Job description

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

Apply