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Weekend Python Data Analyst Jobs in Missouri (NOW HIRING)

Corva

Jr. Completions Data Analyst

Saint Louis, MO · On-site

Ability to work nights and weekends in a rotation * Ability to enter accurate data and prioritize ... Analytical thinking skills * Ability to identify anomalies and problem data * Motivated learner who ...

CACI

Cyber Data Analyst Engineer

Saint Louis, MO · On-site

$75K - $158K/yr

Some on-call including nights/weekends (very rare). Qualifications: Required: Active Top Secret/SCI ... YAML, Python, Bash, and/or Ruby Experience using version control tools such as Git - What You Can ...

CACI

Cyber Data Analyst Engineer

Saint Louis, MO · On-site

$75K - $158K/yr

Some on-call including nights/weekends (very rare). Qualifications: Required: Active Top Secret/SCI ... YAML, Python, Bash, and/or Ruby Experience using version control tools such as Git - What You Can ...

CACI

Cyber Data Analyst Engineer

Saint Louis, MO · On-site

$75K - $158K/yr

Some on-call including nights/weekends (very rare). Qualifications: Required: Active Top Secret/SCI ... YAML, Python, Bash, and/or Ruby Experience using version control tools such as Git - What You Can ...

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Weekend Python Data Analyst information

What is a Weekend Python Data Analyst?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Missouri?

The most popular types of Python Data Analyst jobs in Missouri are:

Weekend Python Data Analyst jobs near you

Senior Data Analyst in St. Louis, MO

Saint Louis, MO

Accenture Federal Services
IT Services • 10K+ employees
Learn more about Accenture Federal Servicesexternal

$83K - $105K/yr

Full-time

Re-posted 24 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

The Work: 

The Senior Data Analyst plays a critical role in the application migration team by leveraging data to drive informed decision-making throughout the migration process. This position is responsible for compiling and analyzing complex datasets, maintaining comprehensive reports, and presenting actionable insights to stakeholders. The Senior Data Analyst works within Agile frameworks to support the team's data-driven approach to application assessment, migration planning, and post-migration evaluation.

Key Responsibilities

  • Collect and consolidate data from various sources related to application performance, usage, and migration progress
  • Ensure data quality, integrity, and consistency across all datasets
  • Conduct in-depth analysis of application data to identify patterns, trends, and potential issues
  • Perform statistical analysis to support decision-making in the migration process
  • Design and create comprehensive reports on various aspects of the migration project
  • Develop dashboards and visualizations to effectively communicate complex data insights
  • Maintain and update regular reports on migration progress, performance metrics, and KPIs
  • Create compelling visual representations of data findings using tools like Tableau, Power BI, or similar
  • Present data-driven insights and recommendations to technical and non-technical stakeholders
  • Develop and deliver presentations on migration analytics to various levels of the organization
  • Conduct pre- and post-migration comparisons to evaluate the success of migration efforts
  • Provide data-driven insights to support decision-making at all levels of the project
  • Define and track key performance indicators (KPIs) for the migration project
  • Develop metrics to measure the success and efficiency of the migration process
  • Create and maintain scorecards to track progress against project goals
  • Participate in Agile ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives)
  • Collaborate with Product Owners to define and refine data-related user stories

Requirements:

  • Bachelors degree and minimum 5 years experience
  • Secret Security Clerance required
  • Demonstrated experience working with business stakeholders to understand business process, pain points, and insights that will deliver greatest value to the mission
  • Building and maintaining visualizations and dashboards in enterprise Business Intelligence tools (such as Tableau, PowerBI, Qlik, Microstrategy) or custom coding (D3, React, CSS)
  • Performing complex data pre-processing (joins, unions, aggregations) using tools and languages like SQL, R, or Python

#c"" "You must live local to St. Louis, MO OR be willing to travel to St. Louis every week Monday-Thursday"

What Accenture Federal Services employees say

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Benefits

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