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Afternoon Data Analyst R Programming Jobs in Solon, OH

Americhem

Data Engineer Intern

Cuyahoga Falls, OH · On-site

Strong analytical, problem-solving, and organizational skills * Strong verbal and written ... Work with analysts, developers, and business stakeholders to understand data requirements and ...

Cleveland Clinic

Senior Data Developer

Cleveland, OH · On-site

$141K/yr

Analyze, design and coordinate the development of software systems. * Responsible for developing ... Knowledge of programming languages: Microsoft C#, iOS Objective C, VBScript, Visual Basic ...

WW&R

Data Platform Engineer

Independence, OH · Hybrid

$76K - $99K/yr

The Data Platform Engineer is responsible for designing, maintaining, and optimizing the ... This role ensures that data pipelines, storage systems, and analytics platforms operate efficiently ...

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

TPC Wire and Cable

Data Quality Engineer

Macedonia, OH

$103K - $124K/yr

Description The Data Quality Engineer owns the implementation and continuous improvement of data ... Perform root cause analysis on data issues across source systems, pipelines, and downstream ...

TPC Wire and Cable

Data Quality Engineer

Macedonia, OH · On-site

$103K - $124K/yr

The Data Quality Engineer owns the implementation and continuous improvement of data quality across ... Perform root cause analysis on data issues across source systems, pipelines, and downstream ...

Hylant

Lead Data & Analytics Architect

Cleveland, OH

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

Munich Re

Data Scientist, AI

Akron, OH · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Munich Re

Data Scientist, AI

Cleveland, OH · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Deloitte

Project - Data Engineer

Cleveland, OH

$111K - $133K/yr

As an experienced Data Engineer - Project Delivery Analyst you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so ...

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

Afternoon Data Analyst R Programming information

See Solon, OH salary details

$31.6K

$76.8K

$126.4K

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

As of Jun 29, 2026, the average yearly pay for afternoon data analyst r programming in Solon, OH is $76,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $90,200.00 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, 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Solon, OH? For Afternoon Data Analyst R Programming jobs in Solon, OH, the most frequently searched job titles are:
What cities near Solon, OH are hiring for Afternoon Data Analyst R Programming jobs? Cities near Solon, OH with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
M&A Data Analytics Senior Consultant

M&A Data Analytics Senior Consultant

Deloitte

Cleveland, OH

Other

Posted 28 days ago

Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

55th of 139 rated financial services

Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions creating lasting impact.

Recruiting for this role ends on 07/17/2026.

Work you'll do

As a Senior Consultant, Strategy, Growth, and Transformation on the M&A team, you will be responsible for...

  • Gathering, normalizing, validating, and analyzing transactional data, including sales and inventory data, to develop and test deal hypotheses
  • Working with cross-functional teams across financial, accounting, operational, and tax due diligence to manage data analysis and support transaction execution
  • Using business intelligence tools and data analytics to generate meaningful insights tied to client investment hypotheses and transaction decisions
  • Identifying opportunities to design and develop visualizations and dashboards that enable effective and repeatable analysis of large transactional datasets
  • Advising clients directly, including C-suite and private equity executives, while coordinating with FP&A and Strategic Finance personnel to identify, collect, and validate data from client databases

Team members collaborate with other transaction service analytics professionals, members of the deal teams and clients to produce analyses within fast-paced transaction deadlines. This is not a "back-office" position; this is front-line client interaction with significant opportunity for growth and advancement.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

An in-depth understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle. Working with our clients to develop growth strategies based on their organizational goals, our services are designed to help clients be prepared to capitalize on opportunities during the merger, acquisition or divestiture process.

Qualifications

Required:

  • Bachelor's Degree in Accounting, Finance, Management Information Systems, Mathematics, Statistics, Economics or similar
  • 2-4 years of experience analyzing large datasets, including demonstrated understanding of data manipulation tools
  • Demonstrated knowledge of advanced business analytics and data mining solutions
  • Demonstrated understanding of multiple business cycles (examples include but not limited to Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.)
  • Experience designing and storytelling via data visualization (examples include but not limited to Tableau, Power BI, Excel Charts, etc.)
  • Experience analyzing or managing accounting, financial or transactional data
  • Demonstrable evidence of effective team leadership, client relationship development, preferably in a client service setting
  • Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Strong working knowledge of data structures and database design
  • Knowledge of GAAP, particularly revenue recognition and ASC 606 
  • Experience performing ETL/data manipulation using Alteryx or similar tools
  • Experience designing data visualizations with Tableau, Power BI, or similar tools
  • Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages.
  • Statistical methods in support of data analysis
  • CPA, CA certification
  • Master of Business Administration or similar degree

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions creating lasting impact.

Recruiting for this role ends on 07/17/2026.

Work you'll do

As a Senior Consultant, Strategy, Growth, and Transformation on the M&A team, you will be responsible for...

  • Gathering, normalizing, validating, and analyzing transactional data, including sales and inventory data, to develop and test deal hypotheses
  • Working with cross-functional teams across financial, accounting, operational, and tax due diligence to manage data analysis and support transaction execution
  • Using business intelligence tools and data analytics to generate meaningful insights tied to client investment hypotheses and transaction decisions
  • Identifying opportunities to design and develop visualizations and dashboards that enable effective and repeatable analysis of large transactional datasets
  • Advising clients directly, including C-suite and private equity executives, while coordinating with FP&A and Strategic Finance personnel to identify, collect, and validate data from client databases

Team members collaborate with other transaction service analytics professionals, members of the deal teams and clients to produce analyses within fast-paced transaction deadlines. This is not a "back-office" position; this is front-line client interaction with significant opportunity for growth and advancement.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

An in-depth understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle. Working with our clients to develop growth strategies based on their organizational goals, our services are designed to help clients be prepared to capitalize on opportunities during the merger, acquisition or divestiture process.

Qualifications

Required:

  • Bachelor's Degree in Accounting, Finance, Management Information Systems, Mathematics, Statistics, Economics or similar
  • 2-4 years of experience analyzing large datasets, including demonstrated understanding of data manipulation tools
  • Demonstrated knowledge of advanced business analytics and data mining solutions
  • Demonstrated understanding of multiple business cycles (examples include but not limited to Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.)
  • Experience designing and storytelling via data visualization (examples include but not limited to Tableau, Power BI, Excel Charts, etc.)
  • Experience analyzing or managing accounting, financial or transactional data
  • Demonstrable evidence of effective team leadership, client relationship development, preferably in a client service setting
  • Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Strong working knowledge of data structures and database design
  • Knowledge of GAAP, particularly revenue recognition and ASC 606 
  • Experience performing ETL/data manipulation using Alteryx or similar tools
  • Experience designing data visualizations with Tableau, Power BI, or similar tools
  • Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages.
  • Statistical methods in support of data analysis
  • CPA, CA certification
  • Master of Business Administration or similar degree

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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