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Afternoon Data Analyst R Programming Jobs in Strongsville, OH

Pwc

Data Strategy-Manager

Cleveland, OH

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Goosehead

Senior Sales Analyst

Westlake, OH · On-site

$79K - $100K/yr

The Senior Sales Analyst will interact with other teams to form a data-driven culture leveraging ... Proficiency in scripting languages such as Python or R. * Expertise in data visualization ...

Huntington

Decision Analyst: Onsite

Cleveland, OH · On-site

$70K - $140K/yr

A minimum of 1 year of experience in data mining, programming, or statistical analysis. Preferred ... Experience using SQL and at least one of Python/R * Experience translating analytical findings into ...

New

USG, Inc.

Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

The ideal candidate will work closely with data analysts, data scientists, and software engineers to ensure reliable, high-quality data is available for analytics and business intelligence. Key ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Strongsville, OH

Afternoon Data Analyst R Programming information

See Strongsville, OH salary details

$31.4K

$76.3K

$125.5K

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

As of Aug 7, 2026, the average yearly pay for afternoon data analyst r programming in Strongsville, OH is $76,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,500.00 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?

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 popular job titles related to Afternoon Data Analyst R Programming jobs in Strongsville, OH? For Afternoon Data Analyst R Programming jobs in Strongsville, OH, the most frequently searched job titles are:
What cities near Strongsville, OH are hiring for Afternoon Data Analyst R Programming jobs? Cities near Strongsville, OH 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 Strongsville, OH as of June 2026, with employment types broken down into 5% As Needed, 64% Full Time, 21% Part Time, 3% Temporary, 6% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,252 per year, or $36.7 per hour.

Senior Data Analytics & Insights Analyst

Goosehead

Westlake, OH • On-site

$79K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

AboutGoosehead

GooseheadInsurance has been disrupting the insurance industry by giving clients the power of choice,utilizinga smarter marketing approach, and delivering world class service. This is all powered by our focus on hiring andretainingextraordinary people. Our clients trust us with their most valuablepossessionsso,we'remore than just a bit selective when it comes to hiring new team members.

Job Summary

The Senior Data Analytics and Insights Analyst will lead the development of cutting-edge data models, datasets, and dashboards while mentoring junior team members and driving best practices in data analytics and insights. The Senior Data Analytics and Insights Analyst will interact with other teams to form a data-driven culture leveraging metrics and KPIs and strategic analysis on company performance and trends. The role requires the following capabilities: excellent communication skills, especially the ability to respectfully challenge and influence; strong problem-solving/analytical skills, strong data management skills, and business acumen.

Key Responsibilities:

Strategic Data Analysis & Insights:

  • Lead the design, development, and optimization of complex data models, datasets and interactive dashboards using Tableau to guide strategic decision-making.

  • Perform in-depth analyses of large datasets to identify trends, opportunities, and actionable insights.

  • Develop and present key business insights to senior leadership in a clear, concise, and impactful manner.

  • Ensure all BI solutions align with organizational objectives and business goals.

Advanced Data Management & Optimization:

  • Write, optimize, and troubleshoot complex SQL queries to extract and manipulate data across multiple databases, with a primary focus on Snowflake.

  • Oversee the design, enhancement, and maintenance of data pipelines to ensure data accuracy, quality, and efficiency.

  • Serve as the subject matter expert for Snowflake, guiding the organization in leveraging it as the central data platform for advanced analytics.

Collaboration & Leadership:

  • Partner with business units and cross-functional teams to gather requirements and define KPIs, ensuring BI solutions address key business challenges.

  • Act as a trusted advisor to C-suite executives by providing data-driven insights and recommendations.

  • Mentor junior BI team members, fostering a culture of knowledge sharing and continuous improvement.

Skills & Qualifications:

  • Bachelor's degree in Data Analytics, Information Systems, Data Science, or a related field.

  • 5+ years of experience in a BI Analyst or similar role, working with large, complex datasets.

  • Advanced proficiency in SQL, Tableau, and data warehousing concepts, with hands-on experience using Snowflake/Databricks or other cloud-based platforms.

  • Strong background in Salesforce, Workday and Talent Acquisition reporting.

  • Demonstrated ability to communicate technical insights effectively to both technical and non-technical stakeholders, including C-suite executives.

  • Exceptional problem-solving skills and attention to detail.

Preferred:

  • Experience in the insurance industry or a similar data-driven environment.

  • Proficiency in scripting languages such as Python or R.

  • Expertise in data visualization storytelling and dashboard design best practices.

  • Demonstrated Tableau proficiency via Tableau Public portfolio.

Benefits Summary

  • High quality voluntary health, vision, disability, life, and dental insurance programs
  • 401K Matching Plan
  • Employee Stock Purchase Plan
  • Paid holidays, vacation, and sick leave
  • Corporate sponsored programs to enhance employee physical, financial,mentaland emotional wellness
  • Financial Solution Program

Equal Employment Opportunity:

Gooseheadis an equal opportunity employer andcomplies withall applicable federal, state, and local laws, rules, guidelines, and regulations.Gooseheadstrictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and allGooseheademployees are given equal consideration based solely on job-related factors, such as qualifications, experience, performance, and availability.

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