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Afternoon Data Analyst R Programming Jobs in Ohio

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 ...

Business Data Analyst I

Lockbourne, OH · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

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 ...

Business Data Analyst I

Lockbourne, OH · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Sr. Data Analyst

Columbus, OH

$83.10K - $104.80K/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 ...

Sr. Data Analyst

Columbus, OH · On-site

$83.10K - $104.80K/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 ...

Sr. Data Analyst

Columbus, OH · On-site

$83.10K - $104.80K/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 ...

Senior Data Analyst

Dublin, OH

$81.20K - $102.50K/yr

... data engineering specifications to ensure they are logical and accurate and meet internal ... data analyses and making recommendations, troubleshooting technical issues, and refining process ...

Preferred Skills Analytical Thinking, Analytics, Competitive Advantages, Data Analytics, Data Mining, Data Science, Datasets, Machine Learning (ML), Omnichannel Marketing, Python (Programming ...

Senior Data Analyst

Dublin, OH · On-site

$81.20K - $102.50K/yr

... data engineering specifications to ensure they are logical and accurate and meet internal ... data analyses and making recommendations, troubleshooting technical issues, and refining process ...

Data Analyst (8-Months)

Troy, OH · On-site

$30 - $32/hr

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry ... analysis of quality issues and providing more real-time data. * Improve and develop visuals in ...

ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and ... engineering, intelligence, and enterprise information technology markets. SAIC is Redefining ...

Financial Data Analyst

Cleveland, OH · Hybrid

$81K - $98K/yr

Bachelor's degree in computer science, business intelligence, data engineering or business administration * 3-5 years of data analysis experience * Advanced proficiency in SQL queries * Advanced ...

Financial Data Analyst

Cleveland, OH · On-site

$81K - $98K/yr

Bachelor's degree in computer science, business intelligence, data engineering or business administration * 3-5 years of data analysis experience * Advanced proficiency in SQL queries * Advanced ...

As a Data Analyst Sr within PNC's Technology - Retail Shop & Buy - Text Banking organization, you ... SQL Developer, TOAD, Tableau Preferred proficiency in: MongoDB PNC is an in-office company that ...

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Afternoon Data Analyst R Programming information

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 Ohio? The most popular types of Data Analyst R Programming jobs in Ohio 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:

Full-time

Posted 3 days ago


Job description

Job Summary:
MEC (Mayville Engineering Company, Inc.) is seeking a SIOP Data Analyst to analyze and interpret data related to sales, inventory, and operations planning. The role involves ensuring data integration from multiple sources to improve forecasting accuracy and enhance supply chain efficiency.
Responsibilities:
• Collects, analyzes, and interprets data related to sales, inventory, demand forecasts, and production schedules to support SIOP processes.
• Assists in developing accurate demand forecasts by analyzing historical data, market trends, and sales patterns. Identifies discrepancies between actual and forecasted demand and recommends adjustments.
• Monitors inventory levels and analyzes inventory turnover rates to ensure optimal stock levels. Identifies opportunities to reduce excess inventory while preventing stockouts.
• Generates regular reports and dashboards on key performance metrics, such as forecast accuracy, inventory levels, and service levels. Provides insights and recommendations to improve supply chain performance.
• Works closely with cross-functional teams, including sales, production, and supply chain, to ensure alignment on demand and supply plans.
• Identifies areas for improvement in the SIOP process and implements best practices to enhance data accuracy, forecasting, and overall supply chain efficiency.
• Ensures the accurate integration of data from various sources, including ERP and supply chain management systems, to support decision-making.
• Performs other duties as assigned.
Qualifications:
Required:
• Strong analytical skills and the ability to work with large data sets.
• Proficiency in data analysis tools such as Excel, SQL, or data visualization software (e.g., Power BI, Tableau).
• Experience with ERP systems and familiarity with SIOP processes.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to present data insights to stakeholders.
• Knowledge of lean manufacturing and supply chain optimization practices.
• Experience with statistical forecasting and inventory management techniques.
• Bachelor's degree in supply chain management, data analytics, business administration, or a related field, or equivalent experience required.
• Three years of experience in data analysis, demand planning, or supply chain management, preferably in a manufacturing or distribution environment.
Company:
We are more than just a manufacturing and fabricating company. Founded in 1945, the company is headquartered in Mayville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.