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Linear Regression Jobs in California (NOW HIRING)

Senior NDE Engineer

Long Beach, CA · On-site

$93K - $126K/yr

Experience performing statistical analyses including linear and multi-linear regression, Guassian and Bayesian probabilities using R or Python * Verifiable experience contributing to design and/or ...

Senior NDE Engineer

Long Beach, CA · On-site

$93K - $126K/yr

Experience performing statistical analyses including linear and multi-linear regression, Guassian and Bayesian probabilities using R or Python * Verifiable experience contributing to design and/or ...

Assistant Scientist I

Davis, CA · On-site

$70K - $75K/yr

Experience with statistics, such as ANOVA and non-linear regression. * Experience with MS Office and statistical software such as JMP or R. * Strong communication skills for working with scientists ...

QC Analyst I

Vacaville, CA · On-site

$20 - $25/hr

Conduct routine and non-routine Out of Trend (OOT) linear regression assessments * Support deviations including OOS, OOT, and OOE investigations * Provide input into quality investigations and CAPA ...

Showing results 21-40

Linear Regression information

What is linear regression?

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to the observed data. It aims to find the best-fitting straight line (in simple linear regression) that predicts the value of the dependent variable based on the values of the independent variables. Linear regression is widely used in data analysis, forecasting, and machine learning for tasks such as predicting trends and estimating relationships between variables. It is one of the simplest and most interpretable techniques in statistics and predictive modeling.

What are the key skills and qualifications needed to thrive as a data analyst specializing in linear regression?

To excel as a Data Analyst specializing in Linear Regression, you need a strong background in statistics, mathematics, and data interpretation, typically supported by a relevant degree in data science, mathematics, or a related field. Familiarity with statistical software and programming languages such as R, Python (with libraries like scikit-learn), and data visualization tools is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting results and conveying insights to stakeholders. These competencies are crucial for accurately modeling relationships within data, making data-driven decisions, and providing actionable recommendations.

What are common challenges faced by professionals working with linear regression models in real-world data analysis?

One of the main challenges when applying linear regression in real-world scenarios is dealing with data that may not meet the assumptions of linearity, homoscedasticity, and normality of residuals. Additionally, real data often contains outliers or multicollinearity among predictors, which can skew results and reduce model reliability. Professionals typically spend significant time on data preprocessing, feature selection, and validating model performance. Collaboration with domain experts is crucial to ensure that chosen variables make sense and that model outputs are actionable for business or research decisions.

What is the difference between Linear Regression vs Data Analyst?

AspectLinear RegressionData Analyst
Primary RoleBuilds statistical models to predict outcomesAnalyzes data to identify trends and support decision-making
Skills RequiredStatistics, programming (Python/R), data modelingData visualization, Excel, SQL, basic statistics
Work EnvironmentData science teams, research projectsBusiness units, reporting, dashboards
CertificationsData Science, Machine Learning certificationsData Analysis, Business Intelligence certifications

While Linear Regression focuses on creating predictive models using statistical techniques, Data Analysts interpret data to generate insights and support business decisions. Both roles require analytical skills, but Linear Regression specialists often have a stronger background in statistics and programming, whereas Data Analysts focus on data visualization and reporting.

Infographic showing various Linear Regression job openings in California as of September 2026, with employment types broken down into 63% Full Time, 31% Part Time, and 6% Contract. Highlights an 70% Physical, 5% Hybrid, and 25% Remote job distribution.

Director, Business Intelligence

Red Bull

Santa Monica, CA • On-site

$115K - $173K/yr

Full-time

Re-posted 22 days ago


Red Bull rating

7.7

Company rating: 7.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

17th of 52 rated marketing agency


Job description

The Director of Business Intelligence owns the enterprise business intelligence strategy, reporting roadmap, and data governance framework for RBDC, ensuring analytics capabilities scale to support organizational growth and strategic decision-making. This position involves close collaboration with various departments to establish and refine performance metrics, ensuring that Key Performance Indicators (KPIs) are carefully selected and effectively monitored. The Director's responsibilities include enhancing business processes across the organization to maximize efficiency, particularly by reducing non-productive field time.
Leading a team of analysts, the Director oversees the generation of a comprehensive suite of reports, including process-focused, tactical, and exploratory analyses, as well as national scorecards. These analytical tools are vital for the Sales, Talent, and Operations teams to monitor performance and propel the organization forward. In essence, the Director of Business Intelligence is instrumental in embedding data-driven insights into the core of the organization's operational excellence and growth strategies. While reporting is the 'day to day' of the role, the next key element is to advance and elevate our current reporting systems and streamline reporting into automated reporting.
RESPONSIBILITIES
Areas that play to your strengths
All the responsibilities we'll trust you with:
  • TEAM LEADERSHIP & DELIVERY
    Lead a team of analysts to deliver strategic reports, insights, and analyses that drive informed decision-making.
    Lead a team of six analysts to deliver comprehensive, centralized process-related, tactical, and exploratory sales reports, as well as national scorecards for Sales, Talent, and Operations.
  • BUSINESS INTELLIGENCE & DATA STRATEGY
    Lead the evolution of RBDC's business intelligence architecture, including data governance, reporting platforms, cloud-based data environments, and self-service analytics capabilities.
    Ensure that reporting suites continue to evolve to support distribution and sales growth by leveraging data insights and identifying innovative data solutions.
  • CROSS-FUNCTIONAL ALIGNMENT & COLLABORATION
    Partner with RBNA Sales LT and reporting teams to ensure alignment across company reporting and strategic objectives.
    Collaborate with departments to define performance measurement methodologies, including KPI selection and tracking mechanisms.
  • SALES DATA & INSIGHTS GENERATION
    Leverage expertise in the sales data ecosystem (Trade Sales, Off Take, Customer Profitability Management, Financial Sales, Inventory, etc.) to generate cross-functional insights.
    Lead sales planning efforts and KPI development.
  • REPORTING & ANALYTICS ENABLEMENT
    Develop dashboards and self-service tools to provide visibility and establish standardized frameworks for ad hoc reporting.
  • DATA QUALITY, SYSTEMS OPTIMIZATION & AUTOMATION
    Analyze and recommend improvements to data quality and reporting system automation in support of strategic initiatives.
    Evaluate current reporting systems and streamline backend data connections to improve usability, scalability, and end-user adoption.

EXPERIENCE
Your areas of knowledge and expertise
that matter most for this role:
  • 8+ years of business intelligence, analytics, reporting, or data strategy experience, including 6+ years leading high-performing teams.
  • Bachelor's degree from an accredited college/university or equivalent work experience; Master's degree from an accredited college or university preferred
  • Capability in coding languages such as Python or R including SQL
  • Previous experience in cloud based data platforms, taking raw data and being able to create reporting from it, i.e. Databricks or Snowflake
  • Proficiency in BI Platforms such as Tableau or PowerBi with ownership of creation, sustainment and improvements to the reporting/systems
  • CRM tools and BI tool proficiency with the ability to create and distribute dashboards
  • Experience building and scaling business intelligence capabilities, reporting architecture, and data platforms in large, multi-site organizations preferred.
  • Understanding of statistical methodologies including linear regression, logistic regression, etc. and expertise in at least one analytical software package such as Excel, SAS, and/or related
  • Expertise in project management with strong organization, time management, presentation and multi-tasking skills
  • Proficient with Microsoft Office Suite applications including Word, PowerPoint, Outlook and Excel, with the ability to perform complex functions within Excel in order to manipulate and calculate data for analysis
  • Employee must regularly lift and/or move up to 25 pounds as needed
  • Employee frequently is required to walk and sit.
  • Employee is occasionally required to stand and stoop, kneel, crouch, or crawl.
  • Exposed to moving mechanical parts and outside weather conditions.
  • Travel 10-20%
  • Permanent
  • Benefits eligible

JOIN THE TEAM

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