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Software Engineer Data Analyst Jobs in Porter Ranch, CA

Fitt Talent Partners

Data Analyst

Los Angeles, CA

Our GTM and Operations teams rely on rigorous, timely analysis to move fast and make confident ... Strong SQL skills: you can independently query, validate, and explore data without engineer support.

Pinterest

Sr. Data Analyst

Los Angeles, CA

$92K - $116K/yr

As a Senior Business Analyst on the Integrated Content Solutions team, you will help shape how ... Bachelor's degree in Data Science, Mathematics, Finance, Software Engineering, a related field or ...

New

Ampcus Inc

Data Analyst.

Culver City, CA · On-site

They are seeking a Data Analyst to evaluate customer behavior and provide insights that guide ... in statistics, programming, and marketing • Bachelor's degree required • Excellent ...

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

Conduct data analysis, data integration, and data management * Identify and develop new data ... Bachelor's Degree in finance, accounting, engineering, math or computer-science related program ...

IT CURA Inc.

Data Analyst

Pasadena, CA

Conduct data analysis, data integration, and data management * Identify and develop new data ... Bachelor's Degree in finance, accounting, engineering, math or computer-science related program ...

Shield HealthCare

Data Analyst

Valencia, CA · On-site

$70K - $90K/yr

This role utilizes software applications to create queries, analyze data sets, prepare reports and dashboards, and partners with internal teams to increase order review accuracy that will lead to an ...

KBR

Data Engineer

Camarillo, CA

$116K - $140K/yr

Experience should demonstrate competency in key concepts from software engineering, computer programming, statistical analysis, data mining algorithms, machine learning, and modeling sufficient to ...

KBR, Inc.

Data Engineer

Camarillo, CA · On-site

$116K - $140K/yr

Experience should demonstrate competency in key concepts from software engineering, computer programming, statistical analysis, data mining algorithms, machine learning, and modeling sufficient to ...

UCLA Health

Data Analyst

Los Angeles, CA · On-site

$9.0K - $20K/mo

This position supports a variety of clinical research workflows with a focus on data engineering, analytics, and business intelligence, transforming complex data into meaningful insights that support ...

ZURU

Data Analyst Intern

Los Angeles, CA · On-site

$20 - $25/hr

Support the maintenance and troubleshooting of data analytics tools and software, including ... Familiar with SQL, Data Visualization, Statistical Analysis, Python Programming, ETL practices. * A ...

A3N consulting Llc

Sr Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

... Analytics teams) Qualifications: You could be a great fit if you have: * 5+ years of data ... Strong background in at least one of the following: distributed data processing or software ...

Outpost

Software Engineer

Los Angeles, CA · On-site

$150K - $220K/yr

Software Engineer Location: Playa Vista, California (in-person, five days per week) Outpost is ... Build tools and infrastructure to support vehicle testing, telemetry, and data analysis * Debug and ...

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Showing results 41-60

All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in Porter Ranch, CA

Software Engineer Data Analyst information

See Porter Ranch, CA salary details

$45.7K

$133.1K

$182.2K

How much do software engineer data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for software engineer data analyst in Porter Ranch, CA is $133,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $141,100.00 per year, depending on experience, location, and employer.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

What are the key skills and qualifications needed to thrive as a software engineer data analyst, and why are they important?

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.
What cities near Porter Ranch, CA are hiring for Software Engineer Data Analyst jobs? Cities near Porter Ranch, CA with the most Software Engineer Data Analyst job openings:
Software Engineer Data Analyst jobs near you

Data Analyst

Fitt Talent Partners

Los Angeles, CA

Full-time

Re-posted 29 days ago

Job description

Fitt Talent Partners is a specialized recruitment firm working with top health and wellness companies.

We’re filling this role for a client, a leading consumer Health & Wellness Platform — that has existing partnerships with Eight Sleep, WHOOP, Momentous, Peloton, and other top brands.

Job Description

Our GTM and Operations teams rely on rigorous, timely analysis to move fast and make confident decisions — this role is the engine behind that capability. You sit at the intersection of data and decision-making, transforming raw inputs into the dashboards, models, and analyses that keep the business moving.

By driving KPI clarity and enabling self-serve analytics, you reduce friction across the organization and free teams to act on insight rather than hunt for it.

Responsibilities

  • Build and maintain dashboards that give leadership a real-time view of the business: revenue, merchant performance, transaction volume, and customer metrics.

  • Deliver ad hoc analyses for GTM and Operations teams, translating business questions into clear findings and recommendations.

  • Design and maintain datasets and models that empower business teams to self-serve.

  • Use AI tools to move faster, automate repetitive analysis, and focus time on the work that drives the most impact.

Qualifications

  • 3–5+ years of experience in an analytics-focused role.

  • Strong SQL skills: you can independently query, validate, and explore data without engineer support.

  • Strong proficiency with at least one BI tool — Omni, Looker, Metabase, Tableau, or similar — and a track record of building dashboards from scratch that teams use to drive decisions.

  • Familiarity with dbt and modern data stack concepts sufficient to collaborate with data and engineering teams.

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