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Weekend Python Data Analyst Jobs in Nevada (NOW HIRING)

SIEGEL GROUP NEVADA INC

Data Analyst

Las Vegas, NV

In-depth knowledge of Python, APIs, Data Warehouse, data querying, demand planning, trends analysis, data visualization, AI, Advanced Excel and building adhoc reports from scratch will all be daily ...

ENNOVARA

Be Seen First

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

... Python and Microsoft Excel VBA programming skills, with the ability to apply these tools for data processing, analysis, and automation. o Familiarity with SQL or demonstrated ability to quickly ...

ENNOVARA

Be Seen First

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

... Python and Microsoft Excel VBA programming skills, with the ability to apply these tools for data processing, analysis, and automation. o Familiarity with SQL or demonstrated ability to quickly ...

DCS CORPORATION

Senior Data Manager

Las Vegas, NV · On-site

Proficiency in Python and VBA for data analysis, scripting, automation, and reporting dashboard tools. Operational Test & Domain Knowledge: Minimum of 5 years of experience in Air Force or Navy ...

DCS Corporation

Proficiency in Python and VBA for data analysis, scripting, automation, and reporting dashboard tools. Operational Test & Domain Knowledge: Minimum of 5 years of experience in Air Force or Navy ...

DCS Corp

Senior Data Manager

Las Vegas, NV

Proficiency in Python and VBA for data analysis, scripting, automation, and reporting dashboard tools. Operational Test & Domain Knowledge: Minimum of 5 years of experience in Air Force or Navy ...

Pwc

GenAI Python Systems Engineer-Manager

Las Vegas, NV · 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 ...

Danaher

Digital Analyst Internships

Henderson, NV

$89.60K - $105.90K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Carson City, NV

$96.50K - $114.10K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Sparks, NV

$100.70K - $119.10K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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Weekend Python Data Analyst information

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

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 are Weekend Python Data Analysts?

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 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 Nevada? The most popular types of Python Data Analyst jobs in Nevada are:
Weekend Python Data Analyst jobs near you

Data Analyst

SIEGEL GROUP NEVADA INC

Las Vegas, NV

Full-time

Posted 13 days ago

Job description

The Data Analyst is a hands-on role responsible for operating and improving all aspects of data management and reporting, including data warehouse management and demand forecasting. This individual plays a crucial role in the business by ensuring data is presented in a way to ensure the right products are available at the right time, minimizing stockouts and reducing excess inventory. Designing, building, managing and reporting on data from multiple data sources will all be key aspects of the position. In-depth knowledge of Python, APIs, Data Warehouse, data querying, demand planning, trends analysis, data visualization, AI, Advanced Excel and building adhoc reports from scratch will all be daily activities.

Responsibilities

  • Data Ownership and Stewardship of the information used to make forecasting decisions.
  • Key member of the Demand Planning Team providing recommendations and new ways to look at the data to make better decisions.
  • Create and maintain an updated forecasting model, tools and spreadsheets that can be regularly updated based on additional data and triggers.
  • Ability to create databases from scratch such as SQL or Postgress to assist in data gathering and reporting.
  • Writing adhoc reports and gathering the data for those reports through tools such as Python, T-SQL and third-party data tools such as Render, Pipedream, etc.
  • Recommend technical changes to the data warehouse to provide the needed data.
  • Preparation of executive summaries for management team in the form of dashboard, data graphing, and PowerPoint presentations.
  • Custom report writing in Excel and other reporting tools.
  • Afterhours work and special projects are expected as part of this position.
  • Other duties as assigned.
  • Must have 3+ years of hands-on data experience in the Hospitality, Retail or F&B space.
  • Must be an expert with Python, APIs, Excel and other Data Warehouse BI/Reporting Tools.
  • Strong understanding of Data Warehouse views, cubes, etc. (Snowflake experience a plus)
  • Knowledge of AI tooling and how to utilize AI platforms to enhance data.
  • Must be capable of working in fast-paced, self-directed, ever-changing environment with the ability to meet strict deadlines.

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