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Data Solutions Analyst Jobs in California (NOW HIRING)

TecTammina

Senior Data Analyst

Pleasanton, CA · On-site

$95K - $120K/yr

Company Description Tech Tammina LLC Sr. Data Solutions Consultant to support large healthcare ... Build and implements Data Analytic solutions that serve as key decision support systems for the ...

Adobe

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

Serve as lead data solutions engineer and architect new data solutions on the AEP platform ... Journey Analytics * Minimum 7-10 years in a lead or expert role, such as consulting or expert ...

Adobe, Inc.

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

Serve as lead data solutions engineer and architect new data solutions on the AEP platform ... Journey Analytics * Minimum 7-10 years in a lead or expert role, such as consulting or expert ...

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Showing results 41-60

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.

Senior Supply Chain Solutions Analyst

Delan Associates, Inc.

Sunnyvale, CA • On-site, Remote

$92K - $113K/yr

Contractor

Re-posted 2 days ago

Job description

Role: Senior Supply Chain Solutions Analyst
Location: Sunnyvale, CA- 3 days in office minimum
Duration: 12 months with possibility of extending further
Role Summary
We're looking for a senior solutions analyst to build internal tools and deliver data-driven analyses that power Meta's supply chain risk intelligence program. Think "forward-deployed engineer", you'll sit embedded with the Strategic Sourcing team, understand their problems firsthand, and build the last-mile applications and analyses they actually use.
This isn't a platform or infrastructure role. Your job is to take messy real-world supply chain data - BOMs, supplier records, component lifecycle information -
and turn it into clean, validated datasets and working internal tools that help sourcing managers make faster, better decisions.
What You'll Do
Data Validation & Analysis
Validate and cleanse internal BOM (Bill of Materials) and MPN (Manufacturer Part Number) data across systems
Cross-reference supplier data against external sources (Z2Data, DigiKey, SiliconExpert) to identify gaps, risks, and inconsistencies
Build automated data quality checks and exception workflows
Deliver ad-hoc analyses, e.g., "which components in this program have lifecycle risk?" or "where are we single-sourced on long-lead parts?"
Internal Tools & Applications
Build and iterate on custom internal tools for supply chain risk monitoring (Python, web-based dashboards, APIs)
Nice to Have
Supply chain, procurement, or hardware operations background
Familiarity with electronic component data (BOMs, AVLs, MPNs, lifecycle stages)
Experience with component databases (DigiKey, Octopart, Z2Data, SiliconExpert)
Comfort with AI/ML tools - LLMs, classification models, or using AI assistants to accelerate work
Web frameworks (Flask, Streamlit, React) for rapid prototyping
Meta internal tools (Bento, Presto/Hive, Unidash, Dataswarm) or equivalent at scale
Working Style
Embedded with the sourcing team, you understand the business problem before you write code
Ship fast, iterate often - working tools in days, polished in weeks
High autonomy - own your solutions end-to-end
Collaborative - work closely with the XFN team, Supply Chain Transformation data engineers, and sourcing pillar leads
Comfortable with ambiguity, half the value is figuring out what to build

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