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Python Analytics Jobs in Missouri (NOW HIRING)

Pwc

GenAI Python Systems Engineer-Manager

Saint Louis, MO · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Jobgether

Transform, clean, validate, and model large datasets using Python and SQL to support analytics and operational use cases. * Integrate extracted data into centralized data platforms while ensuring ...

Deloitte

Strategic Analytics Analyst

Kansas City, MO · On-site

Experience with Python, R, or both * Experience with data cleansing, transformation, and data ... As an Associate, Analytics and Insights, you will work with teams to analyze data, develop ...

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Python Analytics information

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are popular job titles related to Python Analytics jobs in Missouri? For Python Analytics jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Missouri look for? The top searched job categories for Python Analytics jobs in Missouri are:
What cities in Missouri are hiring for Python Analytics jobs? Cities in Missouri with the most Python Analytics job openings:
Python Analytics jobs near you
Manager, Advanced Analytics - Seller Performance

Manager, Advanced Analytics - Seller Performance

Walmart

Cassville, MO • On-site

$80K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,591 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers

Job description

Position Summary...Make your mark on the legacy of Walmart and come build the next great retail disruptor of global online marketplaces. With Walmart eCommerce, you will redefine the future of shopping and create innovative solutions alongside supportive teammates while influencing millions of shoppers daily. Walmart Marketplace is a curated community of respected, professional sellers who offer only top-quality, authentic products and best-in-class customer service. Marketplace is an integral part of Walmart’s growth strategy and fast-paced innovation is embedded into every aspect of what we are building.
The Marketplace team is seeking a Manager of Advanced Analytics, Seller Performance who can translate complex data into insights that help leaders and cross-functional partners make informed decisions, measure success, and shape policies that protect marketplace integrity. In this role, you will build a holistic view of seller performance, identify potential risks, and support controls by leveraging analytics tools and platforms such as Python/SQL/Hive/Hadoop/Cloud, and visualization solutions like Tableau, PowerBI, or Looker. Key focus areas include developing seller operational risk strategies and designing & measuring seller insights and communication approaches that enable seller growth and performance improvement while protecting buyers from non-optimal experiences. This is a highly visible position, partnering closely with senior leaders (Directors and Senior Directors) across business and product teams to define and measure Marketplace success.What you'll do...

You will make an impact by:  
  • Lead delivery of multiple concurrent analytics initiatives in Marketplace Seller Operational Risk, balancing speed, rigor, and stakeholder alignment in a fast-paced environment 
  • Define the end-to-end analytics strategy for seller operational risk measurement, experimentation, forecasting, and performance management across the 3P Seller lifecycle (onboarding, monitoring, enforcement, reinstatement) 
  • Own a scalable KPI and metric framework (North Star + guardrails) to quantify risk outcomes and business tradeoffs (loss prevention/avoidance, GMV protection, seller friction, ops efficiency, false positives/negatives) 
  • Build and maintain robust operational performance reporting (daily/weekly executive dashboards + deep-dive analyses), with automated anomaly detection and alerting for emerging operational risk patterns 
  • Develop reusable analytical assets (SQL/Python notebooks, feature definitions, metric layers, and data marts) enabling consistent measurement across teams and experiments 
  • Partner with Data Science to design, validate, and monitor predictive operational risk models and early-warning indicators; support model evaluation with precision/recall, calibration, drift monitoring, bias checks, and threshold optimization 
  • Apply causal inference and experimental design to evaluate risk policies and controls (A/B, quasi-experiments like diff-in-diff / matching where randomization isn’t feasible), and translate results into product/policy decisions 
  • Design “test-and-learn” frameworks for operational controls, including power calculations, success criteria, instrumentation requirements, and post-test readouts with clear recommendations 
  • Collaborate with Product and Engineering to identify gaps in current operational risk tooling, define requirements, and design scalable data products (self-serve analytics, decisioning insights, enforcement explainability) 
  • Drive instrumentation and event taxonomy improvements (logging standards, data contracts, lineage, and SLAs) to increase trust in seller risk signals and reduce measurement gaps 
  • Establish and enforce data quality monitoring (completeness, timeliness, consistency) and governance for seller risk datasets and feature stores; implement QA checks and automated validation pipelines 
  • Perform deep forensic analyses on seller abuse vectors (identity/linkage, returns/refunds abuse, counterfeit signals, policy evasion), combining structured and semi-structured data sources 
  • Build segmentation and cohorting frameworks to understand risk by seller type, category, geography, fulfillment model, and maturity stage; identify leading indicators and intervention points 
  • Communicate complex analytical findings through crisp narratives, exec-ready artifacts, and tradeoff discussions; influence cross-functional decisions without direct authority 
  • Mentor and develop analysts; set standards for analytical rigor, code quality, documentation, and reproducibility (version control, peer review, testing) 

You’ll sweep us off our feet if…  
  • You bring experience in eCommerce/commerce platforms (ideally Marketplace/3P sellers) with a strong understanding of seller operational performance, trust & safety, fraud/abuse, and risk controls 
  • You’re a data storyteller who can translate complex analyses into clear narratives, recommendations, and tradeoff discussions for product and business leaders 
  • You thrive in ambiguous problem spaces—you can frame problems, form hypotheses, dive deep into data, and independently drive to answers 
  • You operate with strong customer and seller centricity, balancing risk mitigation with seller experience and business growth 
  • You’ve partnered across multiple functions (e.g., Product, Ops, Risk, Compliance, Engineering, Data Science) and can influence without authority 
  • You have a strong foundation in statistics and applied analytics, with experience working on large-scale datasets and ensuring analytical rigor 
  • You’re exceptional at data hygiene and accuracy: collecting, validating, organizing, and communicating insights with strong attention to detail 
  • You have hands-on expertise supporting experimentation and causal measurement, including sampling strategy, labeling, EDA, bias checks, defining success metrics, and interpreting results 
  • You’re highly proficient in SQL and advanced analytics using Python (preferred) and/or R, including building reusable analysis frameworks and production-quality notebooks 
  • You have experience with Hive/Spark/Databricks-style distributed querying and optimizing queries/pipelines for scale and performance 
  • You’ve built or automated datasets and pipelines in cloud data architectures (e.g., GCP), and understand concepts like orchestration, data quality checks, and monitoring 
  • You have strong experience with BI and visualization tools (Tableau, Looker, and/or Shiny) and can build executive-ready dashboards that drive decisions 
  • You collaborate effectively with data scientists and data engineers, writing clear requirements, defining data contracts, and aligning on metrics/feature definitions 
  • You’re curious, proactive, and comfortable operating in unstructured environments, building structure where none exists 
  • You have experience analyzing user behavior and product funnels—cohorting, segmentation, retention/engagement, and identifying friction or abuse patterns 
  • You enjoy working in a fast-paced agile environment, managing competing priorities while maintaining high standards for quality and impact 

Qualifications:   
  • BA/BS or Master’s in Business, Marketing, Mathematics, Statistics, Computer Science, Engineering, or a related field (or equivalent practical experience) 
  • 4+ years of experience in advanced analytics / data analysis, including work in risk management, trust & safety, fraud/abuse, compliance, or seller/platform integrity (eCommerce/marketplace experience a plus) 
  • Demonstrated ability to own end-to-end analytics projects—problem framing, stakeholder alignment, execution, and delivery of measurable business impact 
  • Strong organizational and program execution skills with a high bar for quality, attention to detail, and the ability to manage competing priorities in a fast-paced environment 
  • Excellent communication and influence skills: ability to translate complex analyses into clear, actionable recommendations for cross-functional and executive audiences 
  • Proven track record of being a self-starter with high ownership, accountability, and comfort operating in ambiguous problem spaces 

Preferred Qualifications:  
  • Master’s Degree in Mathematics, Statistics, Data Science or a related technical field 
  • Background in Marketplace Analytics, Retail and/or eCommerce Analytics 
  • Retail and/or eCommerce industry experience in a heavily data-driven environment 
  • Risk management and application of analytics 

 

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-30008: The annual salary range for this position is $80,000.00 - $155,000.00
Sunnyvale, California US-11789: The annual salary range for this position is $104,000.00 - $202,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Bachelor’s degree in Business, Finance, Accounting, Statistics, or related field and 2 years' experience in data analytics or related field OR 4 years'
experience in data analytics or related field.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Certificate in business analytics, data mining, or statistical analysisMasters: Business Administration, Masters: Information Systems, Masters: StatisticsPrimary Location...1601 SE 10th St, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

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From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail, professional, labor and political organizations, specialized design services, transportation and warehousing and fitness and sports centers

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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