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Afternoon Data Analyst R Programming Jobs in Kentucky

Merge

$150 - $200/hr

We're hiring a Data Analyst to find the insights that drive our growth. You'll work directly with ... Work with engineering and design to build dashboards and frontend analytics that give customers a ...

Preferred Medical Marketing Corporation (PMMC)

$60 - $80/hr

Data Analyst Charlotte - Hybrid Full Time The Associate Level Data Analyst plays a vital role in ... Utilize scripting and programming languages for efficient day-to-day tasks and providing data ...

Stratolaunch

$100 - $125/hr

Stratolaunch is a technology accelerator that engineers operationally realistic testing at Mach 5+. ... Stratolaunch is seeking a level I or II Data Analyst to support air-launched hypersonic vehicles.

DoubleLine, LP

$100 - $125/hr

Develop and maintain analytical solutions to scrutinize large data sets * Manage and improve tools ... Strong Python and R programming skills; We also value candidates with strong programming ...

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Clarium, Inc.

$100 - $125/hr

Investigate data quality issues and work with engineering to resolve them at the source * Document ... Strong proficiency in Python for data analysis (e.g. pandas, NumPy, Jupyter) * Hands-on experience ...

Hack The Box LTD

$100 - $125/hr

The role works closely with the Data Engineering team. Technology Tools & Weapons You'll Be Using * Looker (primary) and Tableau * SQL on BigQuery (Snowflake a plus / legacy) * Python for analysis ...

RXinsider LTD.

$100 - $125/hr

Master's degree in Computer Science, Mathematics, Public Health, Statistics, Engineering, or a related field. * Proficiency in data cleaning, transformation, and analysis using Python (Pandas), R ...

Financials Cloud

$60 - $80/hr

A minimum of one year of hands-on experience in statistical analysis using tools like Python or R. * Proficiency in data visualization tools such as Power BI or Tableau. * Knowledge of SQL and the ...

Laurits R. Christensen Associates, Inc.

$60 - $80/hr

Christensen Associates is looking for a full-time Data Analyst I to join our Madison, Wisconsin team. In this role, you will join a larger team of analysts to solve complex, real-world problems for a ...

Booz Allen Hamilton

$100 - $125/hr

Bachelor's degree in Mathematics, Statistics, Business, Law, Engineering, Social Sciences, Physical ... data analysis or data visualization with Power BI, Excel, or Tableau preferred * Experience with ...

Stefanini, Inc

$60 - $80/hr

* Minimum Associate's degree with Bachelor's degree preferred in Data Analytics, Statistics, Computer Science, Engineering, Business Analytics, or a related field. * 1-5 years of experience with data ...

Amplytics Inc.

$100 - $125/hr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, Engineering, or a related field Amplytico participates in the E-Verify program Interested in the role? Amplytico ...

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Beautiful LLC

$60 - $80/hr

Five or more years of professional experience in data analytics, analytics engineering, business intelligence, or a related discipline. * Preferred Bachelor's degree in computer science, statistics ...

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Analytic Services Inc.

$100 - $125/hr

As a Data Scientist or Data Analyst at ANSER, you'll work alongside multidisciplinary teams to ... Collaborate with subject matter experts (SMEs), engineers, and analysts to understand data needs ...

American Credit Acceptance, LLC

$80 - $100/hr

Analyze financial and operational data to identify trends, risks, and opportunities across drivers ... Experience with SQL, Python, or another programming language. * Experience with Power BI, Tableau ...

Amivero

$80 - $100/hr

Proficiency in SQL and data manipulation tools (e.g., Python, R). * Strong problem-solving skills ... Data Analyst Associate) are a plus. EOE/M/F/VET/DISABLED All qualified applicants will receive ...

Far Coder

$150 - $200/hr

Basic proficiency in scripting languages such as Python or R * Previous experience working within a ... Knowledge of sound engineering, musical foundations or experience working in the music industry

Andromeda Systems, Inc

$100 - $125/hr

ASI is seeking a Data Analyst to work onsite in Pax River, MD. This position is not eligible for ... Experience as a Qlik Sense/Tableau/Power BI developer * Experience with SDR, Advana, and Jupiter ...

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Chopine Analytic Solutions

$60 - $80/hr

Utilize statistical techniques to analyze and extract relevant information from large amounts of RF ... Proficiency in statistics packages such as SPSS, SAS, S-PLUS, and R * Programming skills sufficient ...

Mississippi Power Co

$100 - $125/hr

Engineering, Data Analytics, or other related degree strongly preferred * Knowledge of renewable energy and application of solar and BESS technologies is preferred * Proficient in project management ...

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

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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 most commonly searched types of Data Analyst R Programming jobs in Kentucky?

The most popular types of Data Analyst R Programming jobs in Kentucky are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Kentucky?

For Afternoon Data Analyst R Programming jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Kentucky look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Kentucky are:

What cities in Kentucky are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Kentucky with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst

On-site

Merge
See more jobs at Mergeexternal

$150 - $200/hr

Other

Posted 10 days ago

Job description

Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers three core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools, and Merge Gateway, the control plane for running AI in production. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product.

Who are we looking for?

We're a high-growth Series B company selling into a fast-moving AI and developer ecosystem where the market changes weekly and a finding that's interesting today is table stakes in a month. We move quickly, we work hard, and we care a great deal about being right.

We're hiring a Data Analyst to find the insights that drive our growth. You'll work directly with leadership on product and market strategy, shape how we make decisions as an engineering team, and influence how Merge presents itself to the world. If you want to dig into data no one has looked at, find the thing worth saying, and have your analysis be the reason we went left instead of right, this is the role.

What will you be doing?

  • Dig into our product, customer, and market data to find patterns worth acting on and raise questions before anyone else discovers them.

  • Work with engineering and design to build dashboards and frontend analytics that give customers a reliable view of what's happening in the product.

  • Partner with product marketing and sales to turn findings into campaigns, launch assets, and the numbers behind the pitch + the methodology to back them up.

  • Field requests from across the business and decide what warrants a deep dive, a quick pass or a later response.

  • Analyze product usage data (onboarding funnels, feature adoption, dashboard engagement) to identify opportunities to improve the customer journey.

  • Turn one-off analyses into repeatable internal tools and self-service resources so the next request is faster than the last.

What experience is required?

  • Degree in data science, computer science, statistics, or a similar quantitative field.

  • 2+ years in analytics, data science, insights, or a technical GTM / BizOps role.

  • Strong SQL. You write clean, structured queries on large datasets, and whether you wrote them yourself or an AI assistant did, you own the correctness of every result before it reaches a stakeholder.

  • Working knowledge of dbt. You'll use and extend existing models without needing to own a full warehouse build.

  • Working Python for analysis and automation, including AI-enabled workflows that reduce manual reporting overhead.

  • Writing that carries a finding. You can take an analysis and produce something a marketer, a seller, or a customer reads once and understands.

Nice to have

  • Experience at a B2B SaaS or developer tools company, or anywhere with a real data asset

  • Background working closely with product, marketing, sales, and/or revenue operations
  • Hands-on experience with product analytics tools like PostHog, Mixpanel, or Amplitude.
  • Familiarity with LLM and AI infrastructure data, or a genuine interest in learning it fast
Compensation

  • The cash compensation range for this role is $150,000-170,000

  • Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications. In addition to cash compensation, all employees receive an equity compensation package.

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