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Python Analytics Jobs in Missouri (NOW HIRING)

Walmart

Director, Data Analytics, Walmart+

Noel, MO · On-site

$110K - $220K/yr

Preferred skills Data Strategy, Data Quality, Data Visualization, Business Strategy, Business Analytics, SQL (Programming Language), Python (Programming Language), Advanced Analytics, Change ...

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python * Conduct exploratory data analysis (EDA ...

Stellar IT Group

Data Analyst

Saint Louis, MO · Remote

Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python * Conduct exploratory data analysis (EDA ...

Jobgether

$94.50K - $124.60K/yr

You will contribute to the design of robust data architectures that support downstream analytics, classification, and machine learning use cases. The role combines Python engineering, distributed ...

Jobgether

We are currently looking for a Senior Python Backend Engineer in Netherlands. This role is an ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Walmart

Manager, Advanced Analytics

Anderson, MO

$80K - $155K/yr

Experience with Python, R, or other advanced analytics tools. * Knowledge of supply chain labor models, workforce scheduling, or predictive forecasting. * Familiarity with cloud data environments (e ...

Walmart

Manager, Advanced Analytics

Cassville, MO

$80K - $155K/yr

Experience with Python, R, or other advanced analytics tools. * Knowledge of supply chain labor models, workforce scheduling, or predictive forecasting. * Familiarity with cloud data environments (e ...

Walmart

Manager, Advanced Analytics

Noel, MO

$80K - $155K/yr

Experience with Python, R, or other advanced analytics tools. * Knowledge of supply chain labor models, workforce scheduling, or predictive forecasting. * Familiarity with cloud data environments (e ...

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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

Data Analytics Architect

The Timberline Group

Saint Louis, MO • On-site

Full-time

Posted 26 days ago

Job description

*** Must be a US Citizen or Green Card only Applicant ****
The Data Analytics Architect will be responsible for leading the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house transactional databases to a Data Warehouse to enable actionable business insights. The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis and Generative AI. The ideal candidate will be a strong technical leader with effective communication and leadership skills to manage a data engineering team. If you are an ambitious technology leader who is looking to grow, and who is passionate about building world-class products and technology, we encourage you to apply for this exciting opportunity.
What You'll Do
    • Define best practices for development, automated testing, monitoring of data ingestion pipelines.
    • Define standards for Data Mapping, Data Transformation to Analytics friendly structures and Data Validation.
    • Governance of standards and best practices within the Data Engineering Team.
    • Provide task breakdowns for Data Engineers.
    • Accountable for Delivery and 100% uptime of the Environments.
    • Collaborate with cross-functional teams, including ecosystem leadership and data insights teams, engineering, sales, and marketing to ensure all stakeholders are aligned.
    • Hands-on role where individual must be a Player/Coach leading the Data Engineering team.
    • Partner with scrum master daily to build out stories and sprint planning.
    • Partner with leader on Data Insights team daily to stay aligned on priorities.
    • Stay up to date with the latest industry trends and emerging technologies to identify opportunities for innovation and growth.
    • Establish and maintain effective communication channels with internal and external stakeholders.
What You'll Need to Succeed
    • BS in Engineering, Business Administration, Statistics, Business Analytics, or applicable experience in related field
    • Minimum of (5) five years of SDLC experience in ETL/ELT environments with tools/technologies such as Fivetran, dbt, SQL, AWS Redshift, Boomi, PowerBI , Git.
    • Minimum of (3) years of experience in building out schemas for Analytical purposes
    • Minimum (1) years of experience in a Team Lead role managing a Data Engineering team.
    • Minimum (1) years of hands-on experience AWS Cloud and Services such as AWS Glue, AWS Lambda, Python
    • Familiar with ERP, CRM products such as Salesforce, NetSuite, Hubspot and Eloqua.
    • Strong development background and expert level skills with modern SDLC best practices.
    • Proven track record of delivering successful data initiatives.
    • Excellent communication and interpersonal skills, with the ability to build strong relationships with internal and external stakeholders.
    • Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
    • Experience working in a fast-paced, agile environment.
    • Ability to prioritize and manage multiple projects simultaneously.
    • Excellent leadership and management skills, with the ability to inspire and motivate a team to achieve their goals

The Timberline Group
Phone: 636-209-5537
PO Box 565, Sullivan, Mo 63080
www.timberlinegrp.com
resumes@timberlinegrp.com
"Delivering quality solutions through quality people"

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