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Senior Python Data Analysis Jobs in Tennessee (NOW HIRING)

xAI

Data Analyst - Physical Infrastructure

Memphis, TN · On-site

Strong SQL skills and proficiency in Python (pandas, scikit-learn, or similar) or R for data analysis and modeling * Hands-on experience building dashboards and visualizations with Tableau, Power BI ...

Lancesoft

Senior Data Scientist

Chattanooga, TN · On-site

$60 - $86/hr

Contract Role | Senior Data Scientist in Chattanooga TN 2 years contract pay Range: $60 -86/hour on ... Ultimately responsible for developing data analytics and visualization products that provide ...

AutoZone

Lead Data Scientist

Memphis, TN

Work with various departments to understand their data needs and present findings to senior ... Work with Python, SAS, and other analytic computing environments to handle big data. * Research and ...

AutoZone

Lead Data Scientist

Memphis, TN · On-site

Work with various departments to understand their data needs and present findings to senior ... Work with Python, SAS, and other analytic computing environments to handle big data. * Research and ...

Stifel

Data Analyst

Memphis, TN

Perform in-depth analysis and act as subject matter expert for assigned raw data sets. * Solid ... Experience with AWS and Python is preferred. Stifel is more than 130 years old and still thinking ...

Sonsoft Inc

Sr. Data Scientist

Memphis, TN · On-site

Senior data scientist. * Research various analytical approaches * Recommend and develop ... Python, R, SQL, Hive, Spark * Statistical analysis: To understand and work around possible ...

Monogram Health

Senior Data Scientist

Brentwood, TN · On-site

Position: Senior Data Scientist The Senior Data Scientist will be responsible for owning the ... analyses, preferably within the healthcare claims domain, including experience using Python for ...

Stifel

Data Analyst

Memphis, TN

Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs ... Experience with AWS and Python is preferred. About Stifel Stifel is more than 130 years old and ...

Stifel

Data Analyst

Memphis, TN · On-site

Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs ... Experience with AWS and Python is preferred. About Stifel Stifel is more than 130 years old and ...

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Senior Python Data Analysis information

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Tennessee? The most popular types of Python Data Analysis jobs in Tennessee are:
What are popular job titles related to Senior Python Data Analysis jobs in Tennessee? For Senior Python Data Analysis jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Tennessee look for? The top searched job categories for Senior Python Data Analysis jobs in Tennessee are:
Senior Python Data Analysis jobs near you

Data Analyst - Physical Infrastructure

xAI

Memphis, TN • On-site

Full-time

Posted 13 hours ago

Job description

ABOUT xAI
xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
We are seeking a Data Analyst to join xAI's Infrastructure team responsible for building and operating world-class datacenters and power generation facilities. In this role, you will analyze power and cooling performance data, develop forecasts for utility consumption and costs, build and maintain business analytics dashboards, and deliver data-driven insights to optimize our rapidly expanding physical infrastructure for AI supercomputing.
RESPONSIBILITIES:
  • Collect, clean, integrate, and analyze high-volume power, cooling, and energy usage data from datacenter facilities and power plants
  • Build and refine forecasting models for electricity, water, and other utility consumption to support budgeting, planning, and procurement
  • Design, develop, and maintain interactive business intelligence dashboards and reports (using tools such as Seeq, Tableau, Power BI, Looker, or similar)
  • Identify trends, anomalies, inefficiencies, and optimization opportunities in power distribution and cooling systems
  • Partner with mechanical, electrical, and facilities engineering teams to translate analytical findings into engineering and operational improvements
  • Support infrastructure expansion planning through scenario analysis, capacity modeling, and cost projections
  • Automate data collection pipelines and reporting processes to enable real-time visibility and decision making
  • Present clear, actionable insights and recommendations to cross-functional teams and leadership
BASIC QUALIFICATIONS:
  • 4+ years of professional experience in data analysis, business intelligence, or analytics engineering
  • Strong SQL skills and proficiency in Python (pandas, scikit-learn, or similar) or R for data analysis and modeling
  • Hands-on experience building dashboards and visualizations with Tableau, Power BI, Looker, or equivalent
  • Solid foundation in statistics, time-series analysis, and forecasting techniques
  • Experience working with large datasets and building scalable reporting solutions
  • Excellent written and verbal communication skills
PREFERRED SKILLS AND EXPERIENCE:
  • Background in energy, utilities, datacenters, critical infrastructure, or industrial facilities
  • Familiarity with SCADA systems, building management systems (BMS), or IoT sensor data
  • Experience with cloud data platforms (Snowflake, BigQuery, AWS/GCP/Azure data services)
  • Knowledge of power systems, HVAC/cooling efficiency metrics (PUE, WUE, etc.), or energy modeling
  • Advanced degree in Data Science, Statistics, Engineering, Operations Research, or related quantitative field

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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