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Day Shift Python Data Analyst Jobs in Tobaccoville, NC

1 point system

Business Data Analyst

Greensboro, NC · On-site

Ideally a Data Analyst who is comfortable working with the business. Willing to settle for a strong ... Power BI * Python * Additional programming in Java, R Education: Degree or equivalent exp.

Taco Bell

Shift Manager- Day Shift

Clemmons, NC · On-site

$13/hr

Shift Manager- Day Shift (Must be 18+ Years of Age) Are you a highly skilled and motivated ... Basic business math and accounting skills, and strong analytical/decision -making skills * Ability ...

Taco Bell

Shift Manager- Day Shift

Clemmons, NC · On-site

$13/hr

Shift Manager- Day Shift (Must be 18+ Years of Age) Are you a highly skilled and motivated ... Basic business math and accounting skills, and strong analytical/decision-making skills * Ability ...

Market America

Senior Data Scientist

Greensboro, NC

You must have strong experience using a variety of data mining/data analysis methods, using a ... What are the day to day responsibilities? * Work with stakeholders throughout the organization to ...

Pwc

GenAI Python Systems Engineer-Manager

Greensboro, NC · 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 ...

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All JobsDay Shift Python Data Analyst JobsDay Shift Python Data Analyst Jobs in Tobaccoville, NC

Day Shift Python Data Analyst information

See Tobaccoville, NC salary details

$28.9K

$70.2K

$115.6K

How much do day shift python data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for day shift python data analyst in Tobaccoville, NC is $70,221.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $82,400.00 per year, depending on experience, location, and employer.

What cities near Tobaccoville, NC are hiring for Day Shift Python Data Analyst jobs?

Cities near Tobaccoville, NC with the most Day Shift Python Data Analyst job openings:

Day Shift Python Data Analyst jobs near you
Infographic showing various Day Shift Python Data Analyst job openings in Tobaccoville, NC as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $70,221 per year, or $33.8 per hour.

Business Data Analyst

Greensboro, NC • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Re-posted 8 days ago

Job description

Onsite Interview

Description:

  • Project Details/Why is this req open?
  • In charge of all of data for North America. Ensuring no bugs, and business gets their data. Slowly entering AI space, and in middle of data migration from on prem and into the cloud. Will be part of that journey. Ideally someone that is eager to learn new technologies and grow with them.
    • Ideally a Data Analyst who is comfortable working with the business. Willing to settle for a strong BA with good SQL skills. 
    • With SQL - Knowing what’s in tables, SQL Server, Databricks, what is talking to what, etc.
    • Business uses Power BI but not critical, would be a plus to show data manipulation experience
    • Embed with business as they work with regularly
    • Task Example: New group that needs to be added into database tables. These tables talk here and there, which tables are missing in group, filter to understand which groups need to be added, then adjust accordingly
    • 10 week cycle with sprints inside depending on projects being supported (hybrid between Agile and Waterfall)
    • DevOps to document user stories (JIRA, Confluence, etc.)
  • Top Must-Haves:
    •  5+ years of Data Analysis exp. scripting with SQL and understanding relational databases
    •  BA skills, requirements gathering, working with business to translate function requests
    •  Strong soft skills-Ability to talk to the business
    •  Understanding of Agile and Waterfall methodologies
  • Pluses:
    • Databricks
    • Power BI
    • Python
    • Additional programming in Java, R

Education: Degree or equivalent exp.

Responsibilities:

  • Partner with product owners, product managers, data engineers, and business stakeholders to understand data requirements and business objectives.
  • Collect, clean, validate, and transform data from multiple sources to support analytics and reporting needs.
  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Design, develop, and support data solutions, including data flows, ETL processes, and ingestion pipelines.
  • Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, and Excel.
  • Translate business questions into technical data solutions that support decision-making.
  • Support ad hoc data requests and ongoing reporting needs.
  • Assist with data modeling, data mapping, and data management best practices.
  • Troubleshoot data quality and performance issues in development and production environments.
  • Document data solutions, technical designs, and best practices.
  • Present insights and technical concepts clearly to both technical and non-technical stakeholders.
  • Stay current with emerging data technologies, tools, and industry trends.

Experience:

  • 5+ years of experience in a Data Analyst, Business Analyst (data-focused), Data Engineering, or similar role.
  • Strong proficiency in SQL and Excel.
  • Hands-on experience with data visualization and reporting tools such as Power BI or Tableau.
  • Solid understanding of data modeling, data structures, and data integration concepts.
  • Familiarity with cloud data platforms and concepts (Azure preferred).
  • Experience working with analytics and reporting from a business perspective.
  • Exposure to data integration tools such as Azure Data Factory or similar (preferred).
  • Experience with Python for data analysis or automation is a plus.
  • Knowledge of data governance, data privacy, and best practices is a plus.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Excellent communication skills with the ability to translate complex data concepts into clear, actionable insights.
  • Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience.