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Data Analyst Jobs in California (NOW HIRING)

KRAFTON Americas

Data Analyst

El Segundo, CA · On-site

As a Game Data Analyst on the NA team, you'll sit at the intersection of game development, product analytics, and cross-regional collaboration - serving as the analytical backbone for our NA studios ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour Contractor Work Model : Onsite Hours : Monday through Friday (8AM to 5PM) DATA ANALYST SUMMARY:

Orbee

Data Analyst

Irvine, CA · On-site

$70 - $100/hr

Orbee provides digital marketing analytics, data, and automation solutions to the automotive industry. Franchise and independent dealers and large dealership groups utilize the company's platform to ...

1 point system

Data Analyst

Sunnyvale, CA · On-site

Master's degree in data science, Statistics, Computer Science, Economics, or a related field. * 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics. * Proven ability ...

Artech Information System LLC

Data Analyst

San Diego, CA · On-site

$24/hr

Data Analyst Location: San Diego, California 92121 Duration: 12 months Pat rate: $24/hr on W2 Responsibilities: Collect, explore, evaluate and transform data from databases, flat files, spreadsheets ...

Planet

Data Analyst

San Francisco, CA · On-site

$114K - $142K/yr

We are seeking a Data Analyst to join our Data Team. The ideal candidate is curious, passionate, data-driven, and believes in Planet's mission and values. You will gain first-hand experience in ...

Tata Consultancy Service Limited

Data Analyst

San Jose, CA · On-site

$70K - $109K/yr

Formed a data and analytics steering committee to establish data governance and standardize key performance * indicators (KPIs). * Led and managed a global team of business analysts and analytics ...

MIT RESOURCE

Data Analyst

San Francisco, CA · On-site

Data Analyst Location: either San Francisco or Charlotte, NC Duration: 12-18 months Duties & Responsibilities: The Candidate Must be responsible for key aspects of outbound email marketing and ...

Cisco

Data Analyst

San Jose, CA · On-site

$134K - $176K/yr

Provide ad hoc reporting, data extracts, and analytical support while identifying opportunities to automate processes and improve operational efficiency through AI and data-driven solutions. * Drive ...

Harper

Data Analyst

San Francisco, CA · On-site

$140 - $180/hr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance -- we're rebuilding the entire business as software, on a simple bet: turning ...

Trinus

Data Analyst

Santa Clara, CA · On-site

Role: SAP Data Analyst Location: Santa Clara, CA(Hybrid) * Design, develop, and deliver end-to-end business intelligence solutions using SAP BW on HANA , BW/4HANA , native HANA , and Databricks

Prosum

Data Analyst

Santa Monica, CA · On-site

Analyze data to determine requirements for a migration and updating of user data from one set of back-end systems to another, to facilitate an international site launch. * Iteratively document ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour Contractor Work Model : Onsite Hours : Monday through Friday (8AM to 5PM) DATA ANALYST SUMMARY:

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour Contractor Work Model : Onsite Hours : Monday through Friday (8AM to 5PM) DATA ANALYST SUMMARY:

Cardless

Data Analyst

San Francisco, CA · On-site +1

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the insights, processes, and decisions behind our co-branded credit card platform. In this role, you'll ...

1 point system

Data Analyst

Irvine, CA · On-site

Role Overview We are seeking a junior to mid-level Data Analyst (2-7 years' experience) who thrives on solving puzzles and uncovering the "why" behind the data. This role is focused on analytics and ...

Super Micro Computer

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

Supermicro is seeking a Data Analyst to join our team. In this role, you will work closely with Sales, Operations, Product Management, and Procurement teams to coordinate forecast meetings, foster ...

Ampcus Inc

Data Analyst.

Culver City, CA · On-site

They are seeking a Data Analyst to evaluate customer behavior and provide insights that guide business strategies. The role involves analyzing data, responding to business inquiries, and ...

2K Games

Data Analyst

Novato, CA · On-site

What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of titles (WWE ...

Harper Group

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance - we're rebuilding the entire business as software, on a simple bet: turning ...

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Showing results 41-60

All JobsData Analyst JobsData Analyst Jobs in California

Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in California?

The most popular types of Data Analyst jobs in California are:

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For Data Analyst jobs in California, the most frequently searched job titles are:

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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analyst

KRAFTON Americas

El Segundo, CA • On-site

Full-time

Re-posted 7 days ago

Key responsibilities

  • Partner with NA studios to define instrumentation requirements, event schemas, and KPIs.

  • Design, build, and maintain dashboards, reports, and self-serve analytics tools, utilizing AI-assisted BI and text-to-SQL tooling.

  • Conduct deep-dive analyses on game health, feature performance, A/B test results, and live ops events, automating recurring analyses with AI pipelines.

Job description

THE COMPANY
KRAFTON is dedicated to identifying and publishing games worldwide that offer a uniquely enjoyable experience, crafted by our globally recognized production studios known for their distinctive creativity. We continuously push the boundaries of gaming enjoyment by embracing new challenges and technologies and expanding our platforms and services to captivate an even larger fan base. Best known for the genre-defining worldwide sensation PUBG: Battlegrounds, our stellar studios based across the globe include PUBG Studios, Striking Distance Studios, Unknown Worlds, Bluehole Studio, RisingWings and more. In collaboration with our passionate and driven team, we strive to establish ourselves as a renowned creator of masterpieces in the global gaming market.
THE OPPORTUNITY
Krafton's Publishing Platform Division (PPD) builds the data infrastructure and analytics services that power game studios across North America and Korea. As a Game Data Analyst on the NA team, you'll sit at the intersection of game development, product analytics, and cross-regional collaboration - serving as the analytical backbone for our NA studios while working hand-in-hand with PPD's central team in Seoul.
You will define and standardize event taxonomies through our in-house central SDK, build data pipelines and reporting layers, and ensure studios and publishing stakeholders can make fast, evidence-based decisions throughout the full game lifecycle. At Krafton, AI is a core operating principle - not an occasional tool. We expect you to integrate AI into your daily workflow as naturally as SQL, and to actively push the boundaries of what a two-person analytics function can accomplish.
RESPONSIBILITIES
  • Partner closely with NA studios to define instrumentation requirements, event schemas, and KPIs that align with PPD's centralized SDK and data standards
  • Design, build, and maintain dashboards, reports, and self-serve analytics tools - using AI-assisted BI and text-to-SQL tooling where it cuts time without sacrificing rigor
  • Translate raw telemetry data into clear analytical stories for non-technical stakeholders; use LLMs to accelerate synthesis, commentary generation, and report drafting
  • Serve as the primary analytics liaison between NA studios and the Korea-based PPD central team; facilitate data alignment, review sessions, and reporting cadences across time zones
  • Evaluate and validate SDK integration quality - working with studio engineers to ensure correct event logging, data completeness, and schema consistency
  • Conduct deep-dive analyses on game health, feature performance, A/B test results, and live ops events; automate recurring analyses using AI pipelines where possible
  • Build lightweight AI-assisted tooling where it removes friction - metric summary bots, automated anomaly commentary, LLM-generated data documentation, and similar
  • Contribute to roadmap discussions for PPD's central analytics platform, advocating for NA studio needs while ensuring alignment with global standards

QUALIFICATIONS
  • 5+ years in data analytics, with 3+ years in the games industry
  • Deep experience with event-based telemetry and game data pipelines
  • Advanced SQL; proficiency in Python or R for analysis and automation
  • Familiarity with live service game metrics (DAU, D1/D7/D30 retention, ARPU, LTV, session depth)
  • Familiarity with AI tools and an interest in leveraging them for code generation, insight synthesis, documentation, and workflow automation in an analytics context.
  • Ability to write effective prompts and evaluate AI output critically - knowing when to trust, iterate, or reject generated results
  • Track record of owning end-to-end analytics from instrumentation spec to stakeholder reporting
  • Strong communication skills across technical and non-technical audiences
  • Experience working across multiple studios or product teams simultaneously

PREFERRED QUALIFICATIONS
  • Korean language proficiency (business level strongly preferred)
  • Prior experience collaborating with Korean or other Asia-Pacific organizations
  • Experience building AI-powered internal tools - metric bots, LLM pipelines for automated reporting, AI-assisted anomaly detection
  • Experience contributing to or maintaining a shared data SDK or central instrumentation library
  • Background in publishing analytics - UA, platform performance, regional launch metrics
  • Familiarity with data governance, schema registries, or data contracts

Reasonable Accommodation
KRAFTON Americas is committed to the full inclusion of all qualified individuals. As part of this commitment, the Company will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to apply for an open position, perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the HR Talent team at KRAFTON Americas, to begin the interactive process.
EEOC statement
KRAFTON Americas provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type.
In California, the expected salary range for this position is $97,000-$133,000. The listed expected salary range represents a good faith estimate and the actual pay may depend on a variety of job-related factors that can include experience, education, skills, and location.
Due to recent scams, our recruiters will only reach out to you via @sds.com, @krafton.com or @pubg.com. If you received an email and are unsure you can always email recruiting_ka@krafton.com.

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