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Self Employed Data Analyst R Programming Jobs in Tennessee

Data Engineer

Maryville, TN · On-site

$99K - $119K/yr

About The Team The Enterprise Data Analytics, Engineering, and Governance team is looking for an ... Develops curated and modeled data within the platform's semantic layer to support self-service data ...

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

This approach helps self-insured employers provide care management that enables health plan ... Continuous data analytics offer ongoing insights, ensuring participants receive the right care, at ...

... 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 ...

Fluency in multiple analytical programming languages such as Python & SQL (required), R (optional ... Highly self-motivated with proven ability to operate autonomously. managing multiple priorities, in ...

Continually improve ongoing data pipelines and simplify self-service support for busines ... Experience in R or Python * Experience in Shiny/Streamlit applications preferred * Experience in ...

Continually improve ongoing data pipelines and simplify self-service support for busines ... Experience in R or Python * Experience in Shiny/Streamlit applications preferred * Experience in ...

Build end-to-end analytical solutions using tools like Python, R, SQL, Power BI/Tableau, and cloud platforms (AWS, Snowflake). * Collaborate with IS/IT and data engineering teams to prepare data ...

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Self Employed Data Analyst R Programming information

What are the most commonly searched types of Data Analyst R Programming jobs in Tennessee? The most popular types of Data Analyst R Programming jobs in Tennessee are:
data scientist, Data & Analytics (Nashville, TN)

data scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Re-posted 3 days ago


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,590 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.

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