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Business Analyst Sql R Python Jobs in Jackson, TN

FirstBank

Automation Analyst

Lexington, TN · On-site

This role works closely with business stakeholders and technical teams to improve operational ... Ability to interpret and write simple logic or scripts (JavaScript, Python, VB.NET, SQL, etc ...

FocusKPI

Marketing Operations Analyst

Jackson, TN

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

FocusKPI

Marketing Operations Analyst

Jackson, TN · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Danaher

Digital Analyst Internships

Jackson, TN · On-site

$86K - $101K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Jackson, TN

$86K - $101K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Lantern

Strategy Analyst

Jackson, TN · Remote

Evaluate potential partnerships and new business opportunities * Assist in the preparation of ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Lantern

Strategy Analyst

Jackson, TN · On-site

Evaluate potential partnerships and new business opportunities * Assist in the preparation of ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

ASSA ABLOY

Programmer Analyst

Milan, TN

Develop and/or provide software solutions to the business in accordance with established ... Previous experience using tools like ILE RPG, OS400, SQL, and DB2 Databases. * Experience with ...

Assa Abloy

Programmer Analyst

Milan, TN · On-site

Develop and/or provide software solutions to the business in accordance with established ... Previous experience using tools like ILE RPG, OS400, SQL, and DB2 Databases. * Experience with ...

Reli Group Inc

Power BI Intern

Jackson, TN

$15/hr

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc.). * Collaborate with team members and business units to gather requirements and deliver visualizations ...

Reli Group Inc

Power BI Intern

Jackson, TN · On-site

$15/hr

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc.). * Collaborate with team members and business units to gather requirements and deliver visualizations ...

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How much do business analyst sql r python jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for business analyst sql r python in Jackson, TN is $45.01, according to ZipRecruiter salary data. Most workers in this role earn between $33.75 and $56.35 per hour, depending on experience, location, and employer.

What is a business analyst SQL R Python?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

How do business analysts with SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

What are the key skills and qualifications needed to thrive as a business analyst with SQL, R, and Python expertise?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

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Data Scientist - QuantumBlack, AI by McKinsey

Milan, TN • On-site

McKinsey & Company
Business Management Consulting • 10K+ employees
Learn more about McKinsey & Companyexternal

Full-time

Re-posted 12 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will work in multi-disciplinary teams to harness the power of data and deliver real-world impact for organizations globally. Your work will directly influence the recommendations our clients need to drive meaningful change and enhance their performance.
You will tackle complex and diverse data challenges, working with some of the world's largest organizations. You will develop high-quality data science solutions and products, focusing on advanced modeling and analytics.
While collaborating with client teams and internal experts, you will present findings, provide actionable recommendations, and consult with stakeholders to ensure the successful implementation of data-driven strategies.
You will gain exposure to a variety of industries and sectors, building large-scale data and analytics solutions to address complex business problems. Along the way, you will learn and apply best practices in data science, including responsible AI usage, secure and sustainable development, and scalable solutions.
Working in a collaborative and multicultural environment, you will partner with data scientists, ML engineers, project managers, and business experts to deliver impactful solutions. You will also stay up to date with the latest advancements in data science tools and technologies, while participating in world-class learning programs to continuously enhance your skills.
You will solve real-world problems by analyzing and modeling complex datasets, transforming raw data into actionable insights. By developing and delivering data science solutions, you will ensure they are scalable, secure, and aligned with industry best practices. Collaborating closely with client teams and internal experts, you will design and implement data-driven strategies that address critical business challenges. Your ability to present findings and actionable recommendations to stakeholders will ensure clarity, impact, and alignment with their goals.
Staying informed about the latest trends in data science, you will contribute to the development of proprietary tools and methodologies, driving innovation and excellence. Working across various industries, you will gain valuable insights into diverse business challenges and uncover new applications for data science, broadening your expertise and delivering meaningful results.
We use a diverse range of tools and technologies, selecting the best fit for each task while considering client preferences. Commonly used tools include:
  • Programming and Machine Learning: Python (primary), SQL, R, TensorFlow, PyTorch and Spark
  • Data Engineering and Deployment: Docker, Kubernetes
  • Cloud Platforms: AWS, GCP, Azure
  • Proprietary Tools: Kedro, CausalNex, MLRun

YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Bachelor's, Master's, or PhD in computer science, machine learning, applied statistics, mathematics, engineering, or a related field
  • Up to 2 years of experience in programming or data science
  • Statistical Knowledge: Strong foundation in statistics and data analysis is required. Familiarity with GenAI core concepts is a nice-to-have (e.g., LLMs, RAG architecture, embeddings, and prompt engineering techniques)
  • Proficiency in Python is a must. Experience with R, SQL, or Spark is highly valued. Familiarity with other tools such as, TensorFlow, PyTorch, or Hadoop is a plus. Familiarity with LLM tech-stack (e.g., Langchain, llamaindex) is also a plus
  • Proven ability to work effectively in team environments and with stakeholders at all levels
  • Familiarity with AWS, GCP, or Azure is a nice-to-have
  • Strong verbal and written communication skills in Italian. Fluent level language skills in English are required; knowledge of additional languages (e.g., Portuguese, German, French, Spanish) are a plus

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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About McKinsey

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In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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