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Data Analyst R Jobs in Glendale, CA (NOW HIRING)

Sunbit

Sr. Portfolio Data Analyst

Los Angeles, CA ยท On-site +1

$92K - $116K/yr

Description JOB TITLE: Sr. Portfolio Data Analyst LOCATION: Remote (must be open to occasional ... Knowledge in Python, R or SAS * Knowledge of BI tool: Tableau, Sigma, or similar * Proficient in ...

Sunbit

Sr. Lead Data Analyst, Merchant

Los Angeles, CA ยท On-site

$92K - $116K/yr

JOB TITLE: Sr. Lead Data Analyst, Merchant LOCATION: Remote REPORTS TO: Head of Data ๏ปฟThe Company ... Expert proficiency in SQL and other languages like python/R * Strong understanding of Data ...

Sunbit

Sr. Lead Data Analyst, Merchant

Los Angeles, CA ยท On-site +1

$92K - $116K/yr

Expert proficiency in SQL and other languages like python/R * Strong understanding of Data ... Expert at distilling complex analytical findings into simple yet compelling narratives We are ...

Headspace

Manager, Data Analytics

Santa Monica, CA ยท On-site +1

$158K - $224K/yr

Five (5) years of experience as a Lead Data Analyst, Lead Business Analyst, Product Data Analyst ... R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel ...

Headspace

Manager, Data Analytics

Santa Monica, CA ยท On-site

$158K - $224K/yr

Five (5) years of experience as a Lead Data Analyst, Lead Business Analyst, Product Data Analyst ... R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel ...

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Showing results 41-60

All JobsData Analyst R JobsData Analyst R Jobs in Glendale, CA

Data Analyst R information

See Glendale, CA salary details

$36K

$87.5K

$144K

How much do data analyst r jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analyst r in Glendale, CA is $87,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $102,700.00 per year, depending on experience, location, and employer.

What is a data analyst R?

A Data Analyst R job involves analyzing and interpreting data using the R programming language. Professionals in this role collect, clean, and process data, then apply statistical techniques and visualizations to extract insights. They work with databases, create reports, and support decision-making in business, healthcare, finance, or other industries. Proficiency in R, SQL, and data visualization tools is essential.

What does a data analyst R do?

A Data Analyst R typically spends their day extracting, cleaning, and analyzing large datasets using R, generating reports, and building data visualizations to communicate findings. Collaboration is a key aspect, as analysts often work closely with business stakeholders, IT teams, and fellow analysts or data scientists to define project objectives and interpret results. Regular meetings, presentation of findings, and participation in problem-solving discussions are common parts of the workflow. This collaborative, dynamic environment helps ensure that data-driven insights effectively support organizational goals and decision-making processes.

What skills and qualifications are needed for a data analyst R?

To excel as a Data Analyst R, candidates require strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics or related fields, often supported by a relevant degree. Expertise in the R programming language, knowledge of data visualization libraries, and experience with database querying (such as SQL) are commonly expected; certifications in data analysis or R programming can be advantageous. Attention to detail, critical thinking, and effective communication skills help data analysts translate complex data insights into actionable business recommendations. These competencies enable Data Analyst R professionals to accurately interpret data, efficiently support business decisions, and foster collaboration across departments.

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Data Analyst R jobs near you
Infographic showing various Data Analyst R job openings in Glendale, 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 $87,526 per year, or $42.1 per hour.

Senior Data Analyst | Contract | Los Angeles

Tech Holding

Los Angeles, CA โ€ข On-site

$92K - $116K/yr

Full-time

Posted 22 days ago

Job description

The Role:

We are seeking a Senior Data Analyst, for a project based assignment, to deliver high-quality analytics and insights that deepen the organization's understanding of clients, collections, and commercial performance across boutiques, ecommerce, and wholesale channels. This is a hybrid role combining approximately 60% data analytics and 40% analytics-focused data engineering. You will build analytics-ready datasets and semantic models while leading deep commercial and client analysis, performance storytelling, and structured test-and-learn measurement. Reporting to the Manager, Data & Commercial Analytics, this role serves as a critical bridge between raw enterprise data and business decision-making, ensuring leaders operate with trusted metrics, reliable datasets, and actionable insights.

Key Responsibilities:

  • Own client lifecycle and segmentation analysis: who's buying, who's coming back, who quietly stopped, and what that should change about the next collection.
  • Analyze assortment, sell-through, and margin down to the boutique level.
  • Own the dbt layer: the models behind the boutique, ecommerce, and wholesale data marts, the tests that catch problems before stakeholders do, and the KPI definitions everyone else builds on top of.
  • Design and measure test-and-learn programs across campaigns, capsules, and clienteling.
  • Build Tableau dashboards for recurring KPI reporting and set up automated distribution through Power Automate.
  • Present findings to senior leadership with a recommendation attached, not a dashboard link.
  • Chase down data inconsistencies and slow queries as you find them, which you will.
  • Field questions from other analysts and help level them up.

Required Qualifications:

  • 5+ years in analytics or analytics engineering.
  • Advanced SQL.
  • Experience in a modern cloud data warehouse. Redshift, Snowflake, BigQuery, Databricks, any of them.
  • dbt, or a strong equivalent in another transformation framework.
  • Familiarity with retail KPIs: sell-through, full-price ratio, AUR, repeat purchase rate.
  • Clear writing. A lot of this work lands in front of executives, and the analysis is only as good as the explanation.
  • Discretion with revenue, margin, and client data.

Nice to Have:

  • AWS or GCP. Our environment runs on AWS, but you won't need to work in it directly.
  • Dagster, Airbyte, or similar orchestration and ingestion tools.
  • Python or R.
  • Luxury or premium retail background.

Location:

  • Must be available to work onsite 3x a week in DTLA
Employment type:
  • Contract

*Applicants must be authorized to work for ANY employer in the US. We are unable to sponsor or take over sponsorship of an employment Visa at this time

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