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Afternoon Data Analyst R Programming Jobs in California

Collabera

Lead Datawarehouse /Big Data

Torrance, CA · On-site

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 ...

1 point system

Data Analyst

Sunnyvale, CA · On-site

... engineering roadmaps. • Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake). • Strong experience with Python or R for data analysis ...

Centraprise

Data Analyst

Santa Clara, CA · On-site

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Excelhire

Data Analyst

Los Angeles, CA

$32/hr

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 ...

Air Apps

Data Analyst

San Francisco, CA · On-site

$104K - $184K/yr

Work with SQL, Python, or R to extract, analyze, and manipulate data. * Collaborate with product managers, engineers, and marketing teams to provide data-driven insights . * Conduct A/B testing and ...

psudo

Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ... Familiarity with R and statistical packages are preferred. * Proven problem solving and debugging ...

Emendata

Data Analyst

San Francisco, CA · On-site

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Programming: Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional ...

Apple

NAND Q&R Engineer

Cupertino, CA · On-site

Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis. Proficiency in automating data analysis workflows and developing data pipelines for Q&R ...

Emendata

Data Analyst

San Francisco, CA · On-site

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Programming: Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional ...

Apple

NAND Q&R Engineer

Cupertino, CA · On-site

Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis. Proficiency in automating data analysis workflows and developing data pipelines for Q&R ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

Encinitas, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

Del Mar, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in California

Afternoon Data Analyst R Programming information

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 California? The most popular types of Data Analyst R Programming jobs in California are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in California? For Afternoon Data Analyst R Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in California look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in California are:
What cities in California are hiring for Afternoon Data Analyst R Programming jobs? Cities in California with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Lead Datawarehouse /Big Data

Lead Datawarehouse /Big Data

Collabera

Torrance, CA • On-site

Other

Re-posted 6 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

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