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Business Analyst Sql R Python Jobs in Tennessee (NOW HIRING)

One GI, LLC

Senior Business Analyst

Brentwood, TN · On-site

$87K - $113K/yr

Senior Business Analyst Location : 215 Centerview Drive #263, Brentwood, TN (HYBRID) Make an Impact ... Advanced SQL and database management skills. * Experience with data warehousing concepts and ETL ...

Upstream Rehabilitation

Senior Business Analyst

Nashville, TN · Remote

$89K - $115K/yr

Senior Business Analyst Location: Nashville, TN - Remote (Must Reside in the US) Build Your Career ... Working knowledge of SQL and reporting/analytics tools (e.g., Power BI) to support data-driven ...

Sonsoft Inc

Sr. Data Scientist

Memphis, TN · On-site

Interface with Business users and gather feedback on delivered analytical data. * Deploy solutions ... Python, R, SQL, Hive, Spark * Statistical analysis: To understand and work around possible ...

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Business Analyst Sql R Python information

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

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.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

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.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing 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.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
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Infographic showing various Business Analyst Sql R Python job openings in Tennessee as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 6% Part Time, 2% Temporary, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Business System Analyst

Business System Analyst

Williams-Sonoma, Inc.

Memphis, TN • On-site

Full-time

Posted 19 days ago

Williams-Sonoma rating

6.6

Company rating: 6.6 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Williams-Sonoma, Inc. is a leading retailer in home furnishings, seeking a data-driven Senior Analyst to join their Global Transportation team. The role involves transforming complex data into actionable insights to drive strategic decisions across the international supply chain, while collaborating with various teams to enhance data usage and operational efficiency.
Responsibilities:
• Develop and maintain executive-level dashboards and reports tracking transportation KPIs including cost per shipment, on-time delivery, carrier performance, and mode efficiency
• Design, build, and manage ETL workflows to consolidate data from carrier portals, TMS platforms, internal supply chain systems, and third-party logistics providers
• Conduct deep-dive analyses on freight spend, lane optimization, capacity planning, and network design to surface cost-saving opportunities
• Partner with procurement and carrier management teams to provide data-driven support during contract negotiations and RFP cycles
• Build and maintain scalable data models that support both operational reporting and strategic scenario planning
• Champion data quality standards across transportation datasets, identifying gaps and working with IT and data engineering teams to resolve them
• Explore and pilot AI/ML applications within transportation analytics, including predictive freight cost modeling and anomaly detection
• Communicate findings clearly to both technical and non-technical stakeholders, including senior leadership
Qualifications:
Required:
• High School Diploma or Equivalent
• At least 1+ years of experience in Power BI or Tableau; ability to build production-grade dashboards with calculated fields, drill-throughs, and row-level security
• At least 3+ years in logistics, supply chain, or transportation analytics; familiarity with freight modes (FTL, LTL, ocean, air, parcel) and carrier management
• This is an onsite and in office role
• Hands-on experience with Alteryx or comparable ETL tools; comfortable building repeatable, automated workflows for data blending and transformation
• Proficient in SQL for querying large datasets; experience with cloud data platforms (Snowflake, Databricks, Redshift, or similar)
• Proven ability to translate analytical outputs into business narratives; experienced presenting to cross-functional stakeholders and senior leadership
• Able to bend, reach, squat, and climb stairs/ladders
Preferred:
• Bachelor's degree in Supply Chain, Business Analytics, Industrial Engineering, or a related field; MBA or advanced degree a plus
• Experience working within global or multi-regional transportation networks (North America, Europe, APAC)
• Familiarity with AI/ML concepts applied to supply chain such as demand forecasting, cost prediction, or anomaly detection; experience with Copilot, Python, or ML platforms
• Familiarity with TMS platforms (e.g., Oracle TMS, MercuryGate, BluJay, SAP TM)
• Knowledge of trade compliance, customs, or international freight documentation
• Experience with Python or R for statistical analysis or automation
• APICS CSCP or similar supply chain certification
Company:
Founded in 1956, Williams-Sonoma, Inc. is the premier specialty retailer of high-quality products for the home. Founded in 1956, the company is headquartered in San Francisco, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.

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