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Data Analytics Jobs in Spring Valley, CA (NOW HIRING)

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All JobsData Analytics JobsData Analytics Jobs in Spring Valley, CA

Data Analytics information

See Spring Valley, CA salary details

$25

$56

$96

How much do data analytics jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data analytics in Spring Valley, CA is $56.02, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $63.46 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 the most commonly searched types of Data Analytics jobs in Spring Valley, CA?

The most popular types of Data Analytics jobs in Spring Valley, CA are:

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Spring Valley, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,512 per year, or $56 per hour.

Core Processor Application Dev - Enterprise Data & Analytics Data Architect

Mission Fed

San Diego, CA • On-site

$120 - $140/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Core Processor Application Dev - Enterprise Data & Analytics Data Architect

Administrative - Horizon Center, 10325 Meanley Drive, San Diego, California, United States of America

Job Description

Posted Thursday, June 18, 2026 at 7:00 AM

At Mission Fed Credit Union, we’re more than a financial institution—we’re a purpose‑driven organization committed to helping our members, employees, and communities thrive. For more than 60 years, Mission Fed has proudly served San Diego with a people‑first approach, award‑winning culture, and a commitment to innovation that empowers financial well‑being.

We’re looking for an experienced Enterprise Data & Analytics Architect to help shape the future of enterprise data, business intelligence, and cloud analytics. In this highly visible leadership role, you’ll define the technical vision for our Enterprise Data & Analytics ecosystem while driving modernization, scalability, and performance across our data platforms.

If you’re passionate about data architecture, cloud transformation, and turning information into meaningful business insights, this is an opportunity to make a lasting impact.

What You’ll Do
  • Lead the architecture, design, and optimization of enterprise data platforms across on‑premises and Azure cloud environments.
  • Drive data modernization initiatives, including migration of legacy systems to Azure Data Factory, Databricks, Synapse Analytics, and Apache Spark.
  • Design scalable data models, ETL/ELT pipelines, data warehouses, and reporting solutions that support enterprise decision‑making.
  • Provide technical leadership and mentorship to data engineers, developers, and BI professionals.
  • Partner with business leaders to translate complex requirements into innovative data solutions.
  • Establish best practices for data governance, performance optimization, source control, code reviews, and deployment processes.
  • Develop enterprise reporting and analytics solutions utilizing SQL Server, Power BI, SSRS, and Azure technologies.
  • Monitor and support production environments to ensure data reliability, availability, and performance.
  • Stay current with emerging trends in cloud computing, artificial intelligence, data engineering, and analytics.
What We’re Looking For

Education

  • Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a related field (or equivalent combination of education and experience).

Experience

  • 8–10 years of experience designing and supporting enterprise OLTP and OLAP database environments.
  • 8+ years of ETL development using SSIS and/or Azure Data Factory.
  • 8+ years of enterprise reporting and business intelligence experience using Power BI and SSRS.
  • Advanced expertise with Microsoft SQL Server (2016+) and Azure data services.
  • Experience working within Agile and Scrum environments.
  • Preferred experience with Python, PowerShell, C#, .NET, Databricks, and modern data engineering frameworks.
Why Mission Fed?
  • Competitive compensation and comprehensive benefits package
  • 18 days of PTO in your first year plus 12 paid holidays
  • 6% 401(k) match
  • Medical, dental, vision, life, and disability coverage
  • Collaborative, mission‑driven culture recognized as one of San Diego’s best places to work
  • Opportunities to innovate, grow, and make a meaningful impact on the financial lives of our members and community

Join Mission Fed and help build the next generation of enterprise data and analytics solutions that power smarter decisions and stronger member experiences.

Base Pay/Salary: *$120,000 - $140,000 per year

*Actual base pay within this range will be determined by several components, including but not limited to, relevant experience, internal equity, skills, qualifications, and other job‑related factors permitted by law.

Mission Federal Credit Union is an Equal Opportunity Employer. All applicants will receive consideration without regard to race, sex, color, creed, religion, age, marital status, sexual orientation, national origin, physical or mental disability, veteran status, or any other class protected by law.

Administrative - Horizon Center, 10325 Meanley Drive, San Diego, California, United States of America

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