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Entry Level Python Sql Tableau Jobs in Tennessee

TeamHealth

Intern - Business Analytics

Knoxville, TN · On-site

Experience with data visualization tools (Power BI, Tableau, Minitab, or equivalent) preferred * Familiarity with analytical programming languages (SQL, Python, or R) preferred * Strong analytical ...

Holley Performance

BI Solution Devloper

Nashville, TN · On-site

... Power BI/Tableau). * Very strong communication skills with a proven ability to partner with ... SQL, ETL/ELT, and Python * Understanding of B2B and direct to consumer (DTC) selling models ...

Avance Consulting Services

Big Data Architect

Memphis, TN

$62 - $79.75/hr

... SQL Good experience with at least one programming language like Scala, Java, Python, Pig etc Good ... Tableau, Qlikview etc. Thought leader who writes blogs, publishes his/her articles on regular basis ...

Deloitte

Strategic Analytics Analyst

Nashville, TN

... SQL to query, analyze, or validate data * Experience building dashboards or reports using Tableau ... Experience with Python, R, or both * Experience with data cleansing, transformation, and data ...

Deloitte

Strategic Analytics Analyst

Memphis, TN · On-site

... SQL to query, analyze, or validate data * Experience building dashboards or reports using Tableau ... Experience with Python, R, or both * Experience with data cleansing, transformation, and data ...

Lantern

Strategy Analyst

Knoxville, TN · Remote

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Lantern

Strategy Analyst

Chattanooga, TN · Remote

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Lantern

Strategy Analyst

Memphis, TN · Remote

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Lantern

Strategy Analyst

Murfreesboro, TN · Remote

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Lantern

Strategy Analyst

Jackson, TN · Remote

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

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Entry Level Python Sql Tableau information

What are the key skills and qualifications needed to thrive as an Entry Level Python, SQL, and Tableau professional, and why are they important?

To thrive in an entry-level role focused on Python, SQL, and Tableau, you need a foundational understanding of programming, database querying, and data visualization, often supported by a relevant degree or coursework. Familiarity with tools like Jupyter Notebooks, relational database management systems (such as MySQL or PostgreSQL), and Tableau software is typically expected, and certifications in these platforms can be advantageous. Strong analytical thinking, attention to detail, and effective communication are key soft skills that help in interpreting data and presenting insights. These skills and qualifications are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What are some typical projects or tasks an entry-level professional using Python, SQL, and Tableau might work on in their first year?

In an entry-level role focused on Python, SQL, and Tableau, you can expect to work on tasks such as cleaning and transforming raw data using Python, writing SQL queries to extract necessary information from databases, and creating interactive dashboards in Tableau for data visualization and reporting. You'll often collaborate with data analysts, business stakeholders, and IT team members to ensure data accuracy and actionable insights. These projects provide a solid foundation in both technical and business communication skills, helping you build experience for advanced analytical and data engineering roles.

What are Entry Level Python SQL Tableau jobs?

Entry Level Python SQL Tableau jobs are positions designed for individuals who are new to the tech industry and have foundational skills in Python programming, SQL for database management, and Tableau for data visualization. These roles typically involve collecting, analyzing, and visualizing data to help organizations make informed decisions. Candidates in these positions usually work as data analysts, junior data engineers, or business intelligence specialists. The jobs often require strong problem-solving abilities and a willingness to learn on the job while supporting senior team members.

What is the difference between Entry Level Python Sql Tableau vs Data Analyst?

AspectEntry Level Python Sql TableauData Analyst
Required SkillsPython, SQL, Tableau, basic data analysisSQL, Excel, data visualization, basic statistics
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare, various industries
CertificationsOptional Python/SQL/Tableau certificationsOften preferred certifications like Microsoft Data Analyst

Entry Level Python Sql Tableau roles focus on using programming and visualization tools for data tasks, while Data Analysts may have broader responsibilities including reporting and statistical analysis. Both roles often overlap in skills and work environments, but Data Analysts typically require a wider range of analytical techniques.

What are the most commonly searched types of Python Sql Tableau jobs in Tennessee? The most popular types of Python Sql Tableau jobs in Tennessee are:
What are popular job titles related to Entry Level Python Sql Tableau jobs in Tennessee? For Entry Level Python Sql Tableau jobs in Tennessee, the most frequently searched job titles are:
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What cities in Tennessee are hiring for Entry Level Python Sql Tableau jobs? Cities in Tennessee with the most Entry Level Python Sql Tableau job openings:
Entry Level Python Sql Tableau jobs near you
AI & Analytics Innovation Senior Product Specialist

AI & Analytics Innovation Senior Product Specialist

Deloitte

Nashville, TN • On-site

Other

Posted 11 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside Strategy & Transactions team members as they assist clients in navigating new challenges, avoiding financial pitfalls, and delivering practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
The AI & Analytics Center of Excellence within Strategy & Transactions is looking for a Senior Product Specialist to be a part of this incredible team. This role focuses on rapid analytics and AI prototyping, building proof-of-value solutions in weeks rather than months. The work we do is real, with a real impact on the world. Join us!
Recruiting for this role ends on 6/21/2026
Work You'll Do
As part of the team, you will deliver decision-ready analytics and rapidly prototype AI-powered tools across Strategy & Transactions engagements. You will:
  • Frame high-value business questions, define KPIs, and develop hypotheses that drive actionable analysis for deal teams and clients.
  • Assess data sources, evaluate quality and feasibility, and define minimum viable datasets to support rapid analytics delivery.
  • Rapidly build proof-of-value prototypes and MVPs-including dashboards, predictive models, segmentation analyses, and AI-enabled analytics-using real client data.
  • Apply reusable frameworks, templates, and accelerators to compress delivery timelines and reduce project risk.
  • Establish lightweight data governance, metric definitions, and documentation to ensure solutions are sustainable beyond initial delivery.
  • Prepare handoff packages-including requirements, code, architecture plans, and delivery roadmaps-for longer-term implementation teams.

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
The AI & Analytics CoE acts as a rapid analytics development engine supporting Strategy & Transactions engagements by building prototypes and MVP analytics solutions that inform critical business decisions.


Qualifications
Required:
  • Bachelor's degree and 2+ years of experience in analytics, data science, or consulting.
  • 2+ years experience using Python for analytics and modeling (e.g., Pandas, NumPy, scikit-learn; stats models for inference/forecasting; Plotly/Matplotlib for visualization or similar libraries).
  • 2+ years experience using applied modeling: e.g., regression/classification, tree-based models (random forest, GBMs), clustering/segmentation, and time-series forecasting basics.
  • 2+ years experience using Structured Query Language (SQL) for data extraction and transformation (CTEs, window functions, query readability).
  • 2+ years experience with Git and collaborative workflows (PRs, code review, reproducibility).
  • Experience using LLMs and AI-assisted development in day-to-day work: coding with AI assistants, using APIs for data collection, and integrating AI into analytical workflows.
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available
Preferred:
  • Experience with cloud data platforms/warehouses (e.g., Snowflake, BigQuery, Redshift) and/or Spark (e.g., Databricks/EMR).
  • Experience communicating analytical insights through dashboards or visualizations using Tableau, Power BI, or Python visualization libraries.
  • Experience producing reliable reporting datasets: basic pipeline thinking, refresh schedules, data quality validation.
  • Strong foundation in statistics (confidence intervals, regression interpretation, bias/variance intuition) and evaluation discipline (train/test splits, cross-validation, leakage awareness, appropriate metrics).
  • Familiarity with dbt, Airflow, or equivalents and data quality tooling/practices.
  • Familiarity with financial concepts and interest in relevant offerings (Strategy, M&A, Sustainability, etc.).
  • Experience collaborating across teams, coaching junior staff, and influencing others in a project-based environment.
  • Degree in Computer Science, Statistics, Mathematics, Economics, Finance, Engineering, Natural Sciences, or another quantitative field.

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 $105,400 to $207,800.
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. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside Strategy & Transactions team members as they assist clients in navigating new challenges, avoiding financial pitfalls, and delivering practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
The AI & Analytics Center of Excellence within Strategy & Transactions is looking for a Senior Product Specialist to be a part of this incredible team. This role focuses on rapid analytics and AI prototyping, building proof-of-value solutions in weeks rather than months. The work we do is real, with a real impact on the world. Join us!
Recruiting for this role ends on 6/21/2026
Work You'll Do
As part of the team, you will deliver decision-ready analytics and rapidly prototype AI-powered tools across Strategy & Transactions engagements. You will:
  • Frame high-value business questions, define KPIs, and develop hypotheses that drive actionable analysis for deal teams and clients.
  • Assess data sources, evaluate quality and feasibility, and define minimum viable datasets to support rapid analytics delivery.
  • Rapidly build proof-of-value prototypes and MVPs-including dashboards, predictive models, segmentation analyses, and AI-enabled analytics-using real client data.
  • Apply reusable frameworks, templates, and accelerators to compress delivery timelines and reduce project risk.
  • Establish lightweight data governance, metric definitions, and documentation to ensure solutions are sustainable beyond initial delivery.
  • Prepare handoff packages-including requirements, code, architecture plans, and delivery roadmaps-for longer-term implementation teams.

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
The AI & Analytics CoE acts as a rapid analytics development engine supporting Strategy & Transactions engagements by building prototypes and MVP analytics solutions that inform critical business decisions.


Qualifications
Required:
  • Bachelor's degree and 2+ years of experience in analytics, data science, or consulting.
  • 2+ years experience using Python for analytics and modeling (e.g., Pandas, NumPy, scikit-learn; stats models for inference/forecasting; Plotly/Matplotlib for visualization or similar libraries).
  • 2+ years experience using applied modeling: e.g., regression/classification, tree-based models (random forest, GBMs), clustering/segmentation, and time-series forecasting basics.
  • 2+ years experience using Structured Query Language (SQL) for data extraction and transformation (CTEs, window functions, query readability).
  • 2+ years experience with Git and collaborative workflows (PRs, code review, reproducibility).
  • Experience using LLMs and AI-assisted development in day-to-day work: coding with AI assistants, using APIs for data collection, and integrating AI into analytical workflows.
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available
Preferred:
  • Experience with cloud data platforms/warehouses (e.g., Snowflake, BigQuery, Redshift) and/or Spark (e.g., Databricks/EMR).
  • Experience communicating analytical insights through dashboards or visualizations using Tableau, Power BI, or Python visualization libraries.
  • Experience producing reliable reporting datasets: basic pipeline thinking, refresh schedules, data quality validation.
  • Strong foundation in statistics (confidence intervals, regression interpretation, bias/variance intuition) and evaluation discipline (train/test splits, cross-validation, leakage awareness, appropriate metrics).
  • Familiarity with dbt, Airflow, or equivalents and data quality tooling/practices.
  • Familiarity with financial concepts and interest in relevant offerings (Strategy, M&A, Sustainability, etc.).
  • Experience collaborating across teams, coaching junior staff, and influencing others in a project-based environment.
  • Degree in Computer Science, Statistics, Mathematics, Economics, Finance, Engineering, Natural Sciences, or another quantitative field.

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 $105,400 to $207,800.
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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