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Data Insight Jobs in California (NOW HIRING)

Presents data insights and recommendations to key stakeholders by consulting with internal organizations; develops insights based on data analysis on highly complex or significant matter; develops ...

You will work closely with cross-functional teams to uncover insights, solve complex problems, and drive data-informed decision-making. Responsibilities * Data Analysis and Visualization: Conduct ...

Translate operational challenges into data-driven insights and recommendations * Support alignment between data, planning, and execution * Participate in daily and weekly operational reviews to ...

Data Scientist

Long Beach, CA · On-site +1

$79K - $172K/yr

Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making. • Machine Learning Model Development: Design, develop, and train ...

Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making. Machine Learning Model Development: Design, develop, and train machine ...

Enable trusted, self-service insights by collaborating with analytics and technical teams to ensure data quality, consistency, and ongoing enhancements to user-friendly analytics platforms.

Enable trusted, self-service insights by collaborating with analytics and technical teams to ensure data quality, consistency, and ongoing enhancements to user-friendly analytics platforms.

Sr. People Data Scientist

Milpitas, CA · On-site

$114K - $188K/yr

Enable trusted, self-service insights by collaborating with analytics and technical teams to ensure data quality, consistency, and ongoing enhancements to user-friendly analytics platforms.

Analyze and interpret data to identify patterns, trends, opportunities for innovation and ... Provide insights and recommendations on emerging trends and potential impacts on the business.

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says ...

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says ...

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Showing results 1-20

Data Insight information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data insight jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data insight in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Insight vs Data Analyst?

AspectData InsightData Analyst
Required CredentialsTypically a degree in data science, analytics, or related fields; certifications like Tableau, Power BIOften a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or analytics tools
Work EnvironmentCollaborates with business teams to provide strategic insights; may work in tech, finance, marketingAnalyzes data sets, prepares reports, and visualizations; works across various industries
Employer & Industry UsageUsed by companies seeking actionable insights for decision-makingEmployed in diverse sectors for data analysis and reporting

Data Insight professionals focus on deriving strategic insights from data to inform business decisions, often working closely with stakeholders. Data Analysts primarily analyze data sets, create reports, and visualize data to support operational and strategic needs. While both roles require analytical skills and familiarity with data tools, Data Insights roles tend to emphasize strategic thinking and business impact, whereas Data Analysts focus on data processing and reporting.

What are the key skills and qualifications needed to thrive as a Data Insight professional, and why are they important?

To thrive as a Data Insight professional, you need strong analytical skills, statistical knowledge, and a background in data science or a related field. Proficiency in data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI, along with relevant certifications, is typically required. Exceptional problem-solving abilities, business acumen, and effective communication skills help translate complex data into actionable insights. These capabilities are critical for driving data-driven decisions and generating measurable business value.

What are Data Insight professionals?

Data Insight professionals are experts who analyze and interpret data to uncover valuable trends, patterns, and actionable information that help organizations make informed decisions. They use various analytical tools and techniques to transform raw data into meaningful insights that can drive business strategies, optimize operations, and solve complex problems. Their work typically involves collecting, cleaning, and processing data, as well as presenting findings to stakeholders in a clear and impactful way.

How does a Data Insight professional typically collaborate with other departments within an organization?

Data Insight professionals frequently work cross-functionally, partnering with teams such as marketing, product, finance, and operations to translate raw data into actionable business strategies. They often participate in meetings to understand stakeholder goals, gather requirements, and present their findings through clear reports or visualizations. Effective communication and the ability to tailor insights for non-technical audiences are crucial, as these professionals help bridge the gap between data analysis and strategic decision-making across the company.
What job categories do people searching Data Insight jobs in California look for? The top searched job categories for Data Insight jobs in California are:
Manager, Data Analytics

Manager, Data Analytics

Walmart

Sunnyvale, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,907 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

What you'll do...

Position: Manager, Data Analytics

Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089

Duties: Leads medium and participates in large data analytics project teams and manages long-term, complex analytic projects by serving as a technical lead for analytics projects; works with project teams and business partners to determine project goals; partners with external entities; develops contingency plans for data analysis; determines modeling based on business needs; identifies the need for use of advanced analysis methodologies; develops case theories across business areas; develops assessments of key risks; prioritizes and executes work streams for highly complex or significant allegations; directs the analysis of data; gathers data and develops reports as needed; utilizes business knowledge to ensure data supports project goals; analyzes data based on identified variables; reviews data results to ensure accuracy; and communicates results and insights to the project team and business partners. Presents data insights and recommendations to key stakeholders by consulting with internal organizations; develops insights based on data analysis on highly complex or significant matter; develops big data modeling to identify vulnerabilities; applies analytical results to project goals; identifies trends and key insights; translates results into business actions; and presents insights and recommendations to key stakeholders. Provides data-based analysis and insights to drive investigative analytics strategy by coordinating the development of complete datasets needed to support project-level models; designs statistical or heuristic models for applications involving multiple statistical techniques and stakeholders; coordinates with internal and external customers to build consistent and accurate strategies for using functional area metrics; develops statistical or segmentation models; identifies critical factors influencing project objectives; performs analyses utilizing advanced software and techniques; evaluates and interprets results accurately; and presents conclusions, deliverables, and recommendations to stakeholders to support the business. Develops business intelligence solutions with customers and other system areas by ensuring solution testing and validation; oversees upgrades and release schedules for business intelligence and database products; manages production of scheduled regulatory reports; ensures requirements are met to support implementations; manages the compliance reporting database to ensure accuracy and completeness of the data; ensures development of system documentation; develops materials for state of the art user interfaces that enable business users to interpret trends and exceptions; and reviews change implementation before and after production installations.

Minimum education and experience required: Master's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or related field; OR Bachelor's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or related field and 2 years of experience in conducting mathematical or statistical research, analysis and modeling intelligence, corporate security, or related area.

Skills required: Experience automating critical pricing workflows using SQL and Python, including data ingestion, transformation, and pricing model execution. Experience developing reusable scripts that improve operational efficiency and reduce manual intervention. Experience utilizing advanced SQL techniques to query, manipulate, and aggregate massive datasets from Walmart's enterprise data infrastructure. Experience scaling data anomaly detection models across multiple business units and developing effective pricing strategies. Experience developing business models to minimize impact of pricing fluctuations with Data science team for various business models and improve pricing recommendations. Experience designing and maintaining Tableau dashboards that track pricing trends, key performance indicators (KPIs), and competitive benchmarks. Experience providing regular performance updates to leadership, highlighting the impact of pricing strategies, experiment results, and market trends. Experience strategizing, implementing dynamic pricing algorithms and implementing it with data science and engineering teams. Experience integrating machine learning models that adjust prices based on customer demand, competitor behavior, and business objectives. Experience writing performant, scalable SQL code to work with extremely large datasets involving billions of records. Experience ensuring price consistency and accuracy across SKUs, platforms (mobile, desktop, app), and fulfillment methods. Experience monitoring competitor pricing data sourced from web scraping and syndicated feeds. Experience working closely with engineers to integrate pricing logic into production systems, ensuring end-to-end traceability and real-time execution. Experience testing and validating deployment of pricing tools in live environments. Experience analyzing price elasticity and customer behavior patterns to predict the impact of price changes on conversion, traffic, and margin. Experience incorporating findings into strategic pricing models and rules. Experience supporting seasonal and promotional pricing strategies by analyzing historical data, forecasting demand, and developing tailored pricing rules. Experience building and maintaining ETL pipelines to support pricing data flows from ingestion to reporting. Experience leading and analyzing A/B pricing tests to evaluate the effect of experimental pricing strategies. Experience measuring changes in customer behavior, profitability, and competitive positioning. Employer will accept any amount of experience with the required skills.

Salary Range: $104,000/year to $202,000/year. Additional compensation includes annual or quarterly performance incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.

Wal-Mart is an Equal Opportunity Employer.

#LI-DNI #LI-DNP

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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