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Data Analytics Jobs in Commerce, CA (NOW HIRING)

Position Summary The Senior Data Analytics Developer will play a crucial role in ensuring relevant, timely, and actionable business integrations for Living Spaces. They will take charge of designing ...

Data Analyst

Van Nuys, CA · On-site

$85K - $105K/yr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Finance, Economics, or a related field or equivalent experience * At least 3 years of experience in data analytics * Advanced ...

Data and Analytics Job Subfunction: Data Science and Analytics The Marketing Science team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment ...

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Data Analytics information

See Commerce, CA salary details

$25

$55

$96

How much do data analytics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data analytics in Commerce, CA is $55.95, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $63.37 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are popular job titles related to Data Analytics jobs in Commerce, CA?

For Data Analytics jobs in Commerce, CA, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Commerce, CA look for?

The top searched job categories for Data Analytics jobs in Commerce, CA are:

What cities near Commerce, CA are hiring for Data Analytics jobs?

Cities near Commerce, CA with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Commerce, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,371 per year, or $55.9 per hour.

$109K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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7.2

Company rating: 7.2 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

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Job description

Position Summary The Senior Data Analytics Developer will play a crucial role in ensuring relevant, timely, and actionable business integrations for Living Spaces. They will take charge of designing, testing, and maintaining data integration, data transformation, and data quality processes while maximizing efficient use of Living Spaces data across teams and platforms.Position Description

Essential Duties and Responsibilities include the following. Other duties may be assigned.

  • Architect, build, and launch intuitive data models that provide actionable insights for stakeholders across Living Spaces.

  • Determine the optimal data architecture to ensure seamless data integration, distribution, and analysis for Living Spaces' business data domains, including Marketing, Finance, Sales, Logistics, Support, and more.

  • Build highly efficient and reliable data pipelines to move large and small data amounts from Living Spaces' Data Warehouse/Retail Systems to downstream databases and data marts for analysis.

  • Develop, implement, and maintain complex integrations from external cloud sources to internal systems using a variety of tools and platforms.

  • Use multiple cloud-based API's to establish data connections and ensure their security and integrity.

  • Work across multiple teams in high visibility roles and own the solution end-to-end.

  • Organize, mine, and analyze massive structured and unstructured data sets to identify trends, patterns, and insights that assist in making critical decisions for Living Spaces.

  • Develop and optimize the business metrics data layer for scalability, reliability, and resilience.

  • Translate algorithms (graph theory, Map/Reduce, recursion, and other areas) into working prototype code effectively and efficiently.

  • Develop strategies to extract, resolve, and unify information from various disparate data sources to ensure cohesive integration with external business applications.

  • Create algorithms and heuristics to extract information from large data sets and implement the resulting algorithms in software/scripts.

  • Be a thought - leader in analytics/data science with respect to entity resolution as it pertains to Living Spaces business goals.

  • Explore data in an unstructured environment and discover meaningful trends that drive business value for Living Spaces.

  • Use SQL Server Integration Services (SSIS) to build high-performance data integration solutions, including extraction, transformation, and loading (ETL) packages for data warehousing.

Qualifications

Education/Experience: The ideal candidate for this position should have a Bachelor's degree (B. A. or B. S.) in computer science or engineering or related field, along with 5+ years of diverse experience in designing innovative data solutions for business analytics. They should also have proven experience in managing workflows from architecture to delivery in an Agile framework. Additional knowledge of different database technologies beyond RDBMS, vendor/solution capabilities in data management and reporting/analytics - data federation, big data, data quality, Business Intelligence, etc., and writing complex SQL queries in a data warehouse environment. They should also have experience BI and dashboarding/reporting tools, including Tableau, Alteryx, etc. The equivalent combination of education and experience will also be considered.

Computer Skills: The candidate must have advanced proficiency in expert coding skills across several languages and cutting-edge technologies, including SQL, Python, Java, JavaScript, PHP, and .NET/C# framework. Being knowledgeable in XML, Dynamics AX 2012, Dynamics CRM, Amazon AWS, Microsoft Azure, Microsoft Data Lake and Data Warehouse migration skills will be a plus.

Position Hiring Range

The hiring pay range provides a good faith estimate of the salary or hourly wage that Living Spaces expects to pay for the position upon hire. Pay will be determined by several factors, including, but not limited to: applicant's education, relevant work experience, knowledge, applicable and relevant skills and abilities, market demand, Company budget, as well as internal equity and alignment with geographic market data. Living Spaces reserves the right to modify this page at any time.

Compensation: $109,575.00 - $146,100.00

Overtime pay is available for eligible, non-exempt Team Members.Reimbursement for expenses as required by applicable law and Company policy.Retail, Guest Services and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI's.

Additional available benefits upon meeting eligibility requirements include:

  • Medical (full-time only)

  • Dental (full-time only)

  • Vision (full-time only)

  • 401(k) with Company match (full and part-time)

  • Vacation (full-time only or as otherwise required by applicable law)

  • Paid Sick Leave (full and part-time)

  • Flex or Health Spending Account (for eligible full-time only)

  • Employee Assistance Program (full and part-time)

  • Holiday pay (full-time only)

  • Life insurance (full-time only)

For more details, please visit our website at: Careers (livingspaces.com)

Equal Opportunity Employer

It is our policy to abide by all federal, state, and local laws prohibiting employment discrimination based solely on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, mental disability, age, military status, or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including but not limited to, cancer related or HIV/AIDS related), sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

E-Verify

Living Spaces participates in E-Verify. All newly-hired team members are queried through this electronic system established by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) to verify their identity and employment eligibility.

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