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Software Engineer Data Analyst Jobs in Porter Ranch, CA

People Data Analyst

Los Angeles, CA ยท On-site

$150K - $180K/yr

By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how ... You'll partner closely with our People Systems Engineer and Data Engineering team to help define ...

Software Engineer II

Glendale, CA ยท On-site

$103K - $141K/yr

Software Engineer II Req ID: 10148452 Disney Entertainment and ESPN Product & Technology Technology ... analyze, and act on critical system data. You will work alongside other engineers to implement ...

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 ...

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 ...

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 ...

Data Engineer

Camarillo, CA ยท 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 ...

Develop Python-based workflows for data acquisition, analysis, visualization, and automated ... Bachelor's degree in Software Engineering, Electrical Engineering, Mechanical Engineering ...

Software Engineer Reporting To: Software Engineer Lead LOCATION : Marina del Rey, CA (Onsite M - F ... You have a good working knowledge of data analytics and metrics pipelines, and have worked with ...

Software Engineer

Los Angeles, CA ยท 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 ...

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 ...

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 ...

Work with peers (product leads, data science and machine learning engineers) across products to ... Strong analytical mind and a confident decision maker * Excellent communication and presentation ...

Work with peers (product leads, data science and machine learning engineers) across products to ... Strong analytical mind and a confident decision maker * Excellent communication and presentation ...

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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 Jul 16, 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:
People Data Analyst

People Data Analyst

Hadrian Automation, Inc

Los Angeles, CA โ€ข On-site

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Hadrian - Manufacturing the Future
Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
We're accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.
The Role:
We are looking for a highly analytical and mission-driven People Data Analyst to join our People team. In this role, you'll be the connective tissue between People Systems, Data Engineering, and People leadership, translating raw People and business data into the insights that shape how we hire, organize, and grow.
You'll partner closely with our People Systems Engineer and Data Engineering team to help define the data model that underpins our People stack, and you'll own turning that foundation into dashboards, reports, and analysis that recruiting, People leadership, and the broader business leadership team rely on to make decisions.
This is a build-from-the-ground-up opportunity: you won't inherit a mature analytics function with years of dashboards and definitions already in place. You'll help define what "good" looks like, the metrics that matter, the data model that supports them, and the reporting infrastructure that scales with a hypergrowth company. You'll also help define how AI augments this work, from automating recurring reporting to building natural-language interfaces over People data in partnership with People Systems.
What You'll Do
  • Design and build dashboards and self-serve reporting (e.g. in Tableau, Superset) once the underlying data infrastructure is in place, and own their accuracy and adoption going forward
    โ€ข Define and standardize core People metrics time-to-fill, attrition, span of control, headcount vs. plan, and similar in partnership with People leadership
    โ€ข Translate business questions from People and Recruiting leadership, and executive stakeholders into clear analytical approaches, and deliver insights that directly inform decisions
    โ€ข Partner with the People Systems Engineer and Data Engineering team to define and evolve the People data model
    โ€ข Connect People data to broader business metrics (e.g. headcount vs. revenue or production output, productivity, cost per hire relative to business growth) to give business leadership a complete picture of how people investment tracks with company performanceโ€ข Partner with People Systems to identify and prioritize opportunities to use AI and natural language interfaces to make People data more accessible; helping non-technical stakeholders query and explore data without needing to build a new report each time
    โ€ข Own data quality and governance for People analytics; establishing definitions, validating accuracy, and ensuring leadership can trust the numbers without having to double-check them
    โ€ข Conduct ad hoc and deep-dive analyses (e.g. attrition drivers, hiring funnel efficiency, organizational design) that go beyond standard reporting to answer emerging business questions

What We're Looking For
  • 6+ years of experience in data analytics, business intelligence, or people analytics, with a track record of delivering insights that influenced real business or People decisions
    โ€ข Strong SQL skills and comfort working directly in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift) to build and maintain your own queries and data models, rather than relying solely on pre-built tables
    โ€ข Hands-on experience building dashboards and reports in a BI tool such as Looker, Tableau, Superset including the underlying data modeling, not just the visualization layer
    โ€ข Experience partnering with engineering or data engineering teams to define data models and requirements - you can speak both "business question" and "data model" fluently
    โ€ข Demonstrated experience with core People/HR metrics and the employee lifecycle including recruiting funnel, headcount planning, attrition, compensation, performance and how they're typically modeled
    โ€ข Comfortable operating with high autonomy in a fast-moving, ambiguous environment - you can define your own roadmap in partnership with stakeholders rather than waiting for fully-scoped requirements

What Will Set You Apart
  • Direct experience partnering with a People Systems or engineering function to define a Peopledata model from the ground up
    โ€ข Experience with Rippling or similar HRIS platforms, and familiarity with how ATS, finance, and workforce data typically integrate with HR systems
    โ€ข Experience using AI tools (e.g. LLM-powered analysis, natural language querying over structured data, AI-assisted reporting) to scale analytics work and reduce manual reporting burden
    โ€ข Experience supporting People analytics in manufacturing, defense, or other complex multi- population environments (e.g. exempt and non-exempt populations across multiple sites)
    โ€ข Prior experience as the first or founding People analytics hire at a high-growth company, building reporting infrastructure rather than maintaining an existing one

Compensation
For this role, the target salary range is 150,000 - 170,000 (actual range may vary based on experience).
This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Benefits for Full-time Employees
  • Medical, dental, vision, and life insurance plans for employees
  • 401k
  • Relocation support may be provided for certain situations, based on business need.
  • Flexible vacation policy
  • Equity

ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Hadrian Is An Equal Opportunity Employer
It is the Company's policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.