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Afternoon Data Analyst R Programming Jobs in Long Beach, 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 ...

... Engineering, Mathematics, or related field (or equivalent experience) * 5+ years in data analytics, data science, AI/ML, NLP, and data visualization * Strong experience with Python, R, SQL, Tableau ...

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 ...

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... Intermediate to advanced proficiency with one or more programming languages required, such as R ...

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... Intermediate to advanced proficiency with one or more programming languages required, such as R ...

Data Analyst III

Irvine, CA · On-site

$92K - $143K/yr

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... Intermediate to advanced proficiency with one or more programming languages required, such as R ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Experience in an engineering or consulting environment is a plus. * Skills: * Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R). * Experience with data visualization tools ...

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

Senior Data Analyst

Irvine, CA · On-site

$100K - $140K/yr

You'll be at the intersection of engineering, analytics, and strategy. Working hands-on at all ... Python, R, Java, etc * Real world experience building and owning ETL processes * Statistical ...

Senior Data Analyst

Los Angeles, CA

$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)

Write queries and scripts using SQL and Python or R to extract and analyze data efficiently ... Java core programming as a plus PREFERRED SKILLS (Not Required) * Knowledge of workers ...

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Afternoon Data Analyst R Programming information

See Long Beach, CA salary details

$35.8K

$86.9K

$143K

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

As of Jul 18, 2026, the average yearly pay for afternoon data analyst r programming in Long Beach, CA is $86,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 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 are the most commonly searched types of Data Analyst R Programming jobs in Long Beach, CA? The most popular types of Data Analyst R Programming jobs in Long Beach, CA are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Long Beach, CA? For Afternoon Data Analyst R Programming jobs in Long Beach, CA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Long Beach, CA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Long Beach, CA are:
What cities near Long Beach, CA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Long Beach, CA with the most Afternoon Data Analyst R Programming job openings:
Lead Datawarehouse /Big Data

Lead Datawarehouse /Big Data

Collabera

Torrance, CA

Other

Posted 15 days ago


Job description

Company Description

Collabera is ranked amongst the top 10 Information Technology (IT) staffing firms in the U.S., with more than $550 million in sales revenue and a global presence that represents approximately 12,000+ professionals across North America (U.S., Canada), Asia Pacific (India, Philippines, Singapore, Malaysia) and the United Kingdom. We support our clients with a strong recruitment model and a sincere commitment to their success, which is why more than 75% of our clients rank us amongst their top three staffing suppliers.

Job Description

Title: Lead Datawarehouse /Big Data

Location: Torrance, CA

Duration 12+ Months (Good Chance of Extension)

Lead Datawarehouse /Big Data Expert

  • Senior resource in a Tech Lead role responsible for delivering quality ETL work using Informatica in a Datawarehouseing environment that involves Hadoop, Linux, R programming, Netezza.
  • An experienced Big Data resource, expertise in Administering, Developing and deploying Oracle Big Data Appliance (Oracle BDA) solution. Proven work experience on h/w, s/w configs, enterprise level installation, configuration of Hadoop distributed cluster especially with the Oracle BDA, its security framework, best practices and standards for development/deployment processes . Big Data/Netezza Integration, comfortable in usage of the Sqoop, Linux Shell scripting, related utilities and the R programming.
  • Excellent knowledge of Hadoop architecture and administration and support
  • Hands-on experience with the Hadoop stack (e.g. MapReduce, Sqoop, Pig, Hive, Hbase, Flume).
  • Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python), especially the R programing.
  • Experience with Hadoop Security model consisting of authentication, service level authorization, authentication for Web consoles and data confidentiality.
  • Hand-on experience in leading and providing expertise and guidance to groups across the enterprise in the design and support of Hadoop security integration with Client LDAP
  • 2 to 3 year's applicable experience in developing and/or administering Hadoop (highly desirable the R instillation, configuration and the Oracle BDA) production and development data hub environments in a large setting for complex systems.

Required Skills:

  • Oracle Big Data Appliance / Cloudera Hadoop technical stack, R programming
  • Informatica9.5.1, RedHad Linux6.4, AutoSys
  • Netezza / IBM Pure Data Anatytics 7.x,

Strong pluses:

  • Expertise in Hadoop ecosystem products such as HDFS, MapReduce, Hive, Pig, Spark, AVRO, HBase, Zookeeper
  • Experience with SQL, Java (MapReduce), Python (linux shell like scripts) development
  • Experience of Business Intelligence, data mining techniques and analytics functions
  • Predictive analytics experience is a PLUS

Requirements:

  • Past work experience on h/w, s/w configs, enterprise level installation, configuration, setting up "R" program environment, its security framework, best practices and standards for development/deployment processes .
  • Past work experience on h/w, s/w configs, enterprise level installation, configuration of Hadoop distributed cluster especially with the Oracle BDA, its security framework, best practices and standards for development/deployment processes .
  • Oracle Big Data Appliance, Cloudera Hadoop
  • Expertise in Architecting, Administering, Developing and deploying Big Data solutions.
  • Hands-on development, design work on Big Data Analytics to support the data scientists.

Contact Details:

Name: Arshdeep Kaur

Phone:973-637-1908

Additional Information

To know more about this opportunity, please contact:

Arshdeep Kaur

Cell: 973-637-1908

Email: arshdeep.kaur[@]collabera.com