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Afternoon Data Analyst R Programming Jobs in Ohio

DHL

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Steritech

Senior Data Analyst, Steritech

Columbus, OH · On-site

$83K - $104K/yr

... or Engineering plus at least 5 years of relevant experience (e.g. data science, analytics, or ... R. Matlab, Python (Pandas/Scipy), Qlik, Tableau, PowerBI, etc • Advanced SQL knowledge and ...

Materion

Sustainability Data Analyst

Cleveland, OH

Bachelor's degree in Environmental Science, Engineering Technology, Sustainability, Data Analytics, Financial Analytics, or a related field is preferred. An Associate's degree may be considered with ...

The Hartford

Business Data Analyst

Columbus, OH · Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an ... We use the latest DATA technologies, software engineering practices, Agile delivery framework, and ...

USM

C++ Developer-----Need GC and USC

Cincinnati, OH · On-site

$47 - $63.25/hr

C++, R programming This resource will be responsible for C++ and R programming to help do segmentation and extension work. They need to be able to work with analytical functions and have some ...

PNC Bank

Fraud Model Analyst

Cleveland, OH · On-site

$58K - $134K/yr

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Python (Programming Language), R Programming, Structured Query Language ...

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... agents, prompt engineering. * Ability to convert raw data into usable and visualized ...

Further

Data Science Analyst

Cleveland, OH

Strong command of R and/or Python for data manipulation and statistical analysis. * Deep ... Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked ...

Gifthealth Inc

Sr. Data Analyst

Columbus, OH · On-site

$83K - $104K/yr

The Senior Data Analyst will collaborate closely with both internal and client-facing teams to ... Work closely with Product Engineering to ensure product features, enhancements, and changes are ...

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

Sr Business Data Analyst

DHL

Westerville, OH • On-site

$70K - $115K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago

DHL rating

7.0

Company rating: 7.0 out of 10

Based on 313 frontline employees who took The Breakroom Quiz

32nd of 62 rated delivery companies

Job description

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000.
For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000.
DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase General Bonus Plan and a generous PTO policy.
Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking, build impactful visualizations, and support operational excellence. This is your opportunity to grow your skills, collaborate with warehouse leaders, and become a go-to resource for data tools and insights. If you're curious, analytical, and ready to lead, this role is for you.
Job Description
As a Senior Business Data Analyst, you will support warehouse operations by transforming data into actionable insights that improve performance and efficiency. You'll collaborate with site leadership and key stakeholders to build dashboards, implement standard tools, and support data-driven decision-making. In addition to core analytics work, you'll have the opportunity to lead projects across multiple sites, support site startups, and act as a point of contact for analytics community initiatives.
  • Develop and maintain Power BI reports to support operational and strategic decisions
  • Full development of Power BI including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
  • Implement and maintain standard reporting tools for the site or sector
  • Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
  • Serve as a point of contact for Power BI-related questions and analytics community initiatives
  • Lead knowledge-sharing sessions to promote data literacy and tool adoption
  • Manage analytics projects independently and across multiple sites
  • Design and implement data pipelines (ETL) from structured, semi-structured, and unstructured sources
  • Apply Python, R, or other analytics tools to enhance reporting and automation
  • Stay current with modern data analytics trends and apply best practices to improve processes
  • Support site startups as needed by implementing analytics tools and reporting frameworks

Required Experience
  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 3+ years of experience in data analytics, business intelligence, or a related field, required
  • Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, required
  • Proficiency in Power BI, including building dashboards and reports from scratch, required
  • Proficiency in writing DAX expressions to automate and enhance Power BI reports, required
  • Experience designing and managing data pipelines and working with diverse data sources, required
  • Strong understanding of statistical concepts, data modeling techniques, and modern analytics trends, required
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights, required
  • Ability to work independently, manage multiple priorities, and lead cross-functional projects, required
  • Must be able to work fully onsite if role based out of a warehouse, required

Our Organization is an equal opportunity employer.

What DHL employees say

Pay

Benefits

Hours and flexibility

Workplace

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About DHL

Sourced by ZipRecruiter

When Adrian Dalsey, Larry Hillblom and Robert Lynn founded DHL in 1969, they didn’t know they would revolutionize the world of logistics. Today, DHL is the world’s leading logistics company. Our 600,000 people in over 220 countries and territories work every day to help you cross borders, reach new markets and grow your business. Or simply send a letter to your loved ones.

Industry

Transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

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