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Afternoon Data Analyst R Programming Jobs in Compton, CA

Java, Linux, Apache, Perl/Python), especially the R programing. * Experience with Hadoop Security ... Predictive analytics experience is a PLUS Requirements: * Past work experience on h/w, s/w configs ...

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are ... Basic knowledge of Python or R (preferred) Skills * Primary skills: Excel, SQL, data visualization ...

Data Analyst Job ID: KAISJP00230764 Location: Pasadena, Ca 91101 Minimum three (3) years' of related work experience Experience using R, Python, SAS, and/or STATA Five (5) years' of work experience ...

Senior Data Analyst

Los Angeles, CA ยท On-site

$92K - $116K/yr

Senior Data Analyst Department: Technology Reports To: Director of Emerging Technologies Location ... Advanced proficiency with SQL and at least one analytic programming language (e.g., Python or R)

Senior Data Analyst / Remote

Los Angeles, CA ยท Remote

$92K - $116K/yr

Data Analysts support the development and optimization of strategic initiatives by generating ... using R, Python, and other programming languages * Develop technical as well as process-based ...

Coordinate with underwriting, marketing, risk, and engineering teams * Assist in translating ... Experience with R or Python * Experience with BI tools (Tableau, Looker, etc.) * Excellent ...

People Data Analyst

El Segundo, CA ยท On-site

$150K - $200K/yr

Collaborate with HRIS and engineering teams to improve data architecture and accessibility ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

People Data Analyst

El Segundo, CA ยท On-site

$150K - $200K/yr

Collaborate with HRIS and engineering teams to improve data architecture and accessibility ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

This is a high-impact role open across experience levels, with opportunities to grow into data engineering or software-focused paths. We are looking for multiple Data Analysts across three tracks:

Analyze data to determine requirements for a migration and updating of user data from one set of ... Work with engineers to analyze results of development efforts to determine if it meets requirements ...

This is a high-impact role open across experience levels, with opportunities to grow into data engineering or software-focused paths. We are looking for multiple Data Analysts across three tracks:

QUALIFICATIONS * 5+ years of experience analyzing data, drawing conclusions and making recommendations. * 3+ years of experience using SQL, R or Python (or equivalent) programming languages required.

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Afternoon Data Analyst R Programming information

See Compton, CA salary details

$34.5K

$83.9K

$138.1K

How much do afternoon data analyst r programming jobs pay per year?

As of Jul 26, 2026, the average yearly pay for afternoon data analyst r programming in Compton, CA is $83,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What job categories do people searching Afternoon Data Analyst R Programming jobs in Compton, CA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Compton, CA are:
What cities near Compton, CA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Compton, CA with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Compton, CA as of July 2026, with employment types broken down into 1% As Needed, 57% Full Time, 33% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $83,931 per year, or $40.4 per hour.

Data Analyst II- Remote

Northrop Grumman Federal Credi

Gardena, CA โ€ข Remote

$89K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago


Job description

Position Summary

The Data Analyst is responsible for transforming complex business data into meaningful insights that support strategic decision-making across the Credit Union. This role partners with business leaders to develop enterprise reporting solutions, identify trends and opportunities, and deliver data-driven recommendations that improve operational performance, enhance the member experience, and support organizational growth.

The ideal candidate is an experienced analytics professional with advanced expertise in SQL, Tableau, and business intelligence reporting, along with a strong understanding of financial services operations. This individual will lead analytical initiatives, develop executive-level reporting, ensure data integrity, and communicate actionable insights to both technical and non-technical stakeholders.

Essential Responsibilities
  • Design, develop, and maintain enterprise Tableau dashboards, executive scorecards, and key performance indicator (KPI) reporting.
  • Develop, optimize, and troubleshoot complex SQL queries, stored procedures, views, Common Table Expressions (CTEs), window functions, and other database objects to support enterprise reporting and analytics.
  • Analyze large volumes of financial, operational, lending, and member data to identify trends, opportunities, risks, and actionable business insights.
  • Partner with executive leadership and business stakeholders to understand reporting requirements and translate business needs into scalable analytical solutions.
  • Validate data accuracy, perform root cause analysis, and ensure the integrity, consistency, and quality of reporting solutions.
  • Develop forecasting models, trend analyses, and statistical analyses to support strategic planning and business initiatives.
  • Present analytical findings and recommendations through professional visualizations and executive-level presentations that facilitate informed decision-making.
  • Support enterprise data governance initiatives by promoting best practices related to data quality, reporting standards, and documentation.
  • Serve as a subject matter expert for business intelligence and reporting, providing guidance and mentoring to junior analysts as appropriate.
  • Participate in cross-functional projects and perform other duties as assigned.
Minimum Qualifications
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Finance, Business Analytics, or a related discipline required; Master's degree preferred.
  • Eight (8) or more years of progressively responsible experience in data analytics, business intelligence, or a related field.
  • Advanced experience developing complex SQL solutions, including query optimization, stored procedures, complex joins, Common Table Expressions (CTEs), window functions, and performance tuning.
  • Extensive experience designing and developing Tableau dashboards utilizing Tableau Desktop, Tableau Server or Cloud, Tableau Prep, calculated fields, Level of Detail (LOD) expressions, and dashboard performance optimization.
  • Experience developing executive dashboards, operational reporting, and enterprise business intelligence solutions.
  • Experience within a Credit Union, banking, financial services, mortgage, or lending environment strongly preferred.
Technical Knowledge & Skills

The successful candidate will demonstrate expertise in:

  • Advanced SQL development and relational database concepts
  • Tableau Desktop, Tableau Server/Cloud, and Tableau Prep
  • Business intelligence reporting and dashboard development
  • Executive KPI reporting and performance measurement
  • Forecasting, predictive analytics, and trend analysis
  • Data visualization and executive presentation techniques
  • Python or R programming experience is desirable
Statistical & Analytical Knowledge

Working knowledge of:

  • Descriptive and Inferential Statistics
  • Regression Analysis
  • Correlation Analysis
  • Hypothesis Testing
Core Competencies

The successful candidate will possess:

  • Exceptional analytical, critical thinking, and problem-solving skills
  • Strong business and financial acumen with the ability to interpret complex data and provide strategic recommendations
  • Excellent verbal, written, and presentation skills with the ability to communicate effectively at all organizational levels
  • Proven ability to explain technical concepts to non-technical audiences
  • Strong organizational skills with the ability to manage multiple priorities and meet deadlines
  • High attention to detail and commitment to data accuracy and integrity
  • Strong collaboration, relationship-building, and stakeholder management skills
  • Self-motivation, sound judgment, and the ability to work independently while contributing to a collaborative team environment
Why Join Our Team?

At Northrop Grumman federal Credit Union, data is a strategic asset that drives informed decision-making and continuous improvement. As a Data Analyst, you will have the opportunity to partner with leaders across the organization, influence key business decisions, and help deliver innovative solutions that enhance the financial well-being of our members. If you are passionate about analytics, business intelligence, and using data to solve complex business challenges, we invite you to apply and become part of our team.

NGFCU offers competitive compensation and a rich benefits package including medical, dental, vision, disability and life insurance, and a 401(k)-profit sharing plan with employer matching.

Compensation and Job Title is commensurate with experience and may fall under the following pay ranges:

Data Analyst II- $89,000 to $120,000

Please note that the salary information is a general guideline only. Northrop Grumman Federal Credit Union considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer. We offer a competitive total rewards package including a wide range of medical, dental, vision, financial, and other benefits.

We perform thorough background checks including verification of previous employment, education, credit checks and pre-employment drug screening. Any discrepancies in reported dates, titles, or degree information may result in an employment offer to be withdrawn.

NGFCU is an Equal Opportunity Employer

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment-qualified applicants with arrest and conviction records.


Monday through Friday 8:00 am to 5:00 pm
40 hours