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Entry Level Data Analyst R Programming Jobs in Nashville, TN

SEI

Data and Analytics Consultant

Nashville, TN

... programming and scripting languages such as, but not limited to, SQL, Python and R * Experience ... in data warehousing and analytics solutions * Experience deploying enterprise-wide reporting ...

CGI Inc.

Data & Analytics Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data & Analytics Engineer Category: Analytics and Emerging Digital Technologies Main location: United States, Tennessee, Nashville Position ID:J0726-1758 Employment Type: Full Time Position ...

Ramsey Solutions

Analytics Engineer

Nashville, TN · On-site

$77K - $113K/yr

... data analyst, or another similar role. * You have the ability to clearly communicate with both ... Python and R) * You have experience with several of the following: * Data pipelining and ETL/ELT ...

Pwc

AI & GenAI Data Scientist - Manager

Nashville, TN · On-site

$99K - $232K/yr

... data analysis and integration to support AI-driven initiatives - Utilizing programming languages ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Nashville, TN

Entry Level Data Analyst R Programming information

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How much do entry level data analyst r programming jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level data analyst r programming in Nashville, TN is $31.80, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $35.53 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What are the most commonly searched types of Data Analyst R Programming jobs in Nashville, TN?

The most popular types of Data Analyst R Programming jobs in Nashville, TN are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Nashville, TN?

For Entry Level Data Analyst R Programming jobs in Nashville, TN, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Nashville, TN look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Nashville, TN are:

What cities near Nashville, TN are hiring for Entry Level Data Analyst R Programming jobs?

Cities near Nashville, TN with the most Entry Level Data Analyst R Programming job openings:

Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Nashville, TN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,152 per year, or $31.8 per hour.

data scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Re-posted 22 hours ago

Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,641 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes

Job description

Job Summary:
Starbucks is a company known for developing extraordinary leaders who are guided by their service to others. As a Data Scientist, you will support business decisions by partnering on a cross-functional team to understand complex data relationships and build core data science models to create insights and deliver decision-ready outputs.
Responsibilities:
• Extract, shape, and validate data using SQL (and other frameworks as needed) to create analytically-ready datasets and dimensional/relational processes that support measurement and decision-making.
• Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases.
• Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs and monitor model performance, and translating results into implications and recommendations.
Qualifications:
Required:
• 1+ year of experience in data science, applied analytics, or related work
• BA/BS or equivalent experience
• Proficiency with SQL and Python and/or R (data prep, pipelines, modeling)
• Working knowledge of common modeling techniques (e.g., regression, classification, decision trees, clustering, causal inference)
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
• Strong communication skills and attention to detail
Preferred:
• Degree concentration in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science, or similar)
• Advanced degree (MS or PhD) preferred.
• Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)
• Experience supporting model measurement/monitoring through dashboards and performance reporting
Company:
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items. Founded in 1971, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Starbucks employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Starbucks logo

About Starbucks

Sourced by ZipRecruiter

Starbucks Corporation is an American multinational chain of coffeehouses and roastery reserves. It is one of the largest coffeehouse chains in the world. Starbucks was founded in Seattle, Washington in 1971 by Jerry Baldwin, Zev Siegl, and Gordon Bowker. The company's initial focus was on selling whole coffee beans and coffee-making equipment. Over the years, Starbucks has expanded its operations and become known for its distinctive coffeehouse atmosphere and high-quality coffee products. The company offers a wide range of beverages, including various coffee-based drinks, teas, hot chocolates, and other specialty drinks. Starbucks also serves a variety of food items such as pastries, sandwiches, salads, and snacks. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. In addition to its traditional coffeehouses, Starbucks has expanded its brand to include different store formats. This includes drive-thru locations, express stores, and even upscale Reserve Roasteries and Reserve Bars that offer a more immersive coffee experience. Starbucks is also known for its ethical sourcing practices. The company has implemented programs such as Coffee and Farmer Equity (C.A.F.E.) Practices, which promote environmentally friendly and socially responsible coffee production. Starbucks has a commitment to ethically sourcing its coffee beans and has made efforts to support sustainable farming practices and improve the livelihoods of coffee farmers. The Starbucks brand has a global presence, with thousands of stores in countries around the world. It has become a symbol of premium coffee and a popular destination for coffee lovers worldwide. The company's success has made it an iconic brand and a significant player in the global coffee industry.

Industry

Food services and drinking places and restaurants

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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