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Freelance Data Analyst R Programming Jobs in Alabama

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ... Proficiency in programming languages such as Python or R * Experience with Palantir Foundry

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ... Proficiency in programming languages such as Python or R * Experience with Palantir Foundry

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ... Proficiency in programming languages such as Python or R * Experience with Palantir Foundry

... engineering tasks to deliver an advanced visual analytic application to include: developing data ... Scripting such as Python/R Knowledge of Data Pipelines & Warehousing (ETL/ELT) Preferred ...

Design strategies for enterprise database systems, including operations, programming, performance ... Knowledge of statistical scripting languages such as Python or R * Knowledge of data pipelines ...

... Data Analyst to function full-time within the Advanced Sensors and Protective Technologies ... You will join a diverse team of software developers, engineers, and scientists to help create ...

... Data Analyst to function full-time within the Advanced Sensors and Protective Technologies ... You will join a diverse team of software developers, engineers, and scientists to help create ...

Job Title :: Data Analyst 2 Location :: Birmingham, AL 35203(Onsite) Contract :: 6-Months Skills and Responsibilities · 3-5 Years Proficient in using tools like Python, R, SQL, and data ...

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education High School / GED Security Clearance ...

Motion Industries is seeking a Business Intelligence Data Analyst who will design and develop ... developer and influencer of peers. Preferred : • Proficiency in Python, R, or other statistics ...

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Freelance Data Analyst R Programming information

What is the difference between Freelance Data Analyst R Programming vs Freelance Data Scientist R Programming?

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

What are the key skills and qualifications needed to thrive as a Freelance Data Analyst with R Programming expertise, and why are they important?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What does a Freelance Data Analyst specializing in R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.
What are the most commonly searched types of Data Analyst R Programming jobs in Alabama? The most popular types of Data Analyst R Programming jobs in Alabama are:
What are popular job titles related to Freelance Data Analyst R Programming jobs in Alabama? For Freelance Data Analyst R Programming jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analyst R Programming jobs in Alabama look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Alabama are:
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Job description

As affiliates of the PCI Federal Services group of companies, PCI Government Services LLC has a passion for our team members and their personal mission for success. We offer excellent insurance, leave and developmental benefits along with some flexibility for remote work opportunities. Come join our organization and be part of an exciting team supporting our Federal, DoD and Private Sector customers.


This position is fully onsite and reports to the Program Manager.


Responsibilities

This position requires employees to be located in the Huntsville, AL area in order to report to work on-site at Redstone Arsenal.

  • Provide highly complex data mining, statistical analysis, trend analysis, and causal analysis.
  • Perform as a technical lead responsible for monitoring and providing monthly contract reports and deliverables.
  • Responsible for integrating multiple disciplines in an operations research team and translating applicable methods into language and application understandable by operational managers throughout the organization.
  • Review and provide quality control methods on products.
  • Prepare and update training materials to ensure newly assigned personnel gain an understanding of key analytic tools, procedures, and methodologies used.
  • Take structured and unstructured data and distill the information into a cohesive analytical product for a contracting functional business area audience.
  • Support pattern analysis methods to formulate recommendations to operational managers based upon exploiting patterns in the past, current, and anticipated operational environment.


Qualifications

  • Must be located in the Huntsville, AL area.
  • Must have an active Secret Security Clearance.
  • 8 plus years in a technical field
  • BA/BS required;BS in computer science, engineering, applied mathematics, statistics, or a related field preferred.
  • Must have experience with Power BI, Palantir experience is a plus.
  • Have experience advising senior DoD decision makers on methodologies, results, and conclusions from applied operations research. The primary tools used for research services include, but are not limited to, Logistics Management Program, Vantage, Virtual Contracting Enterprise, General Fund Enterprise Business System (GFEBS), SAP Business Objects/Web Intelligence Reports, Microsoft SharePoint, Army-specific contract writing systems (Procurement Desktop Defense (PD2) and Procurement Automated Data and Document System (PADDS)), and various Government and Commercial business process automation systems.
  • Personnel should have strong data manipulation and problem-solving skills.
  • Must have strong technical skills in areas such as statistics, programming languages like R or Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation, and pipelining.
  • Have good communication skills and problem-solving ability.


PCI Federal (PCIF) and its subsidiaries are an equal-opportunity employer. PCIF does not discriminate on the basis of age, sex, race, national origin, religion, marital status, sexual orientation or identity, Veterans or Disability status.

Preference may be extended to qualified Native American Indian candidates in accordance with applicable federal law.