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Contract Python Data Analysis Jobs in Roseville, CA

Applied AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

Position Description This is a contract position. Extension may be considered based on business ... Data, Analytics & AI team members, Data & Technology Solutions teams, business leaders and ...

New

Supply Chain Engineer

Sacramento, CA · On-site

$105K - $120K/yr

Perform exploratory data analysis using SQL and Python within our Databricks environment to surface operational insights across the distribution network * Design and optimize work areas, pick paths ...

Contract Manager

Woodland, CA · On-site

$80K - $120K/yr

Maintain contract trackers and/or contract management system data; prepare periodic reports on ... Strong negotiation, problem-solving, and analytical skills; ability to manage risk and achieve ...

... Analytic, data and spatial understanding Avid reader and learner of new and upcoming trends ... Python, etc.) Keywords Geodatabase Administration, Mapping Job Type: Contract Qualification ...

Omniture - Elk Grove, CA

Elk Grove, CA

$86K - $87K/yr

Omniture Duration 6+ months Contract Location: Elk Grove, CA Key Job functions: Build, share, and maintain web analytics dashboards for key metrics monitoring Ad-hoc data consolidation and validation.

Showing results 41-60

Contract Python Data Analysis information

See Roseville, CA salary details

$13

$61

$90

How much do contract python data analysis jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for contract python data analysis in Roseville, CA is $61.45, according to ZipRecruiter salary data. Most workers in this role earn between $50.62 and $69.81 per hour, depending on experience, location, and employer.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Roseville, CA?

The most popular types of Python Data Analysis jobs in Roseville, CA are:

What job categories do people searching Contract Python Data Analysis jobs in Roseville, CA look for?

The top searched job categories for Contract Python Data Analysis jobs in Roseville, CA are:

What cities near Roseville, CA are hiring for Contract Python Data Analysis jobs?

Cities near Roseville, CA with the most Contract Python Data Analysis job openings:

Infographic showing various Contract Python Data Analysis job openings in Roseville, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,817 per year, or $61.5 per hour.

Supply Chain Engineer

Grocery Outlet Holding Corp.

Sacramento, CA • On-site

$105K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


Grocery Outlet rating

5.8

Company rating: 5.8 out of 10

Based on 412 frontline employees who took The Breakroom Quiz

74th of 123 rated grocery stores


Job description

About Grocery Outlet:

  • Our Mission: Touching lives for the better
  • Our Vision: Touching lives by being the first choice for bargain-minded consumers in the U.S.
  • Our Values & Behaviors: Achievement, Diversity, Entrepreneurship, Family, Fun, Integrity & Service

About the Team:

Our Supply Chain and Logistics team mission is to provide top notch service to our stores and purchasing teams- contributing to the goal to make Grocery Outlet the first choice for bargain minded customers while touching lives for the better. Our team oversees the successful movement of products from our vendors to our stores and is self-motivated, passionate, and dedicated.

About the Role:  

We are seeking an experienced Supply Chain Engineer to join our Distribution Center operations team. This is a mid-level position for a detail-oriented professional who is passionate about operational excellence and data-driven decision-making. You will play a key role in optimizing facility layouts, connecting operational data to actionable reporting, and partnering with our engineering and operations teams to drive continuous improvement across our distribution network. This role reports to the Manager, SC Automation Engineer. 

Responsibilities Include:

  • Perform exploratory data analysis using SQL and Python within our Databricks environment to surface operational insights across the distribution network
  • Design and optimize work areas, pick paths, and storage configurations using AutoCAD to translate data insights into real-world facility improvements and facility designs
  • Connect and model data sources in Power BI to develop and maintain dashboards for operations leadership
  • Monitor and report on key performance metrics including labor utilization, throughput, cycle times, and error rates
  • Collaborate cross-functionally with operations, facilities, and IT teams to identify and implement process improvements
  • Support time study and labor standards initiatives in partnership with the engineering team as needed

 

About The Pay:

  • Salary Range: $105,000 - $120,000 Annually
  • Annual Bonus Program
  • Equity
  • 401(k) Profit Sharing
  • Medical, Dental, Vision & More!
  • Final compensation will be determined based upon experience and skills and may vary based on location.

About You:

  • Bachelor’s degree in industrial engineering, Mechanical Engineering, or a related field required
  • 3–5 years of experience in a distribution, fulfillment, or manufacturing environment
  • Basic experience in AutoCAD for facility and work area layout design
  • Strong command of SQL for data querying, aggregation, and reporting
  • Proficiency in Python for data analysis (pandas, pyspark)
  • Demonstrated ability to analyze large, complex data sets to identify trends, inefficiencies, and cost-saving opportunities
  • Experience applying data analysis to transportation and warehouse operations, including cost reduction and process optimization
  • Experience performing data validation and quality checks across large datasets to ensure reliability of reporting and analysis
  • Familiarity with Power BI for data modeling, report development, and dashboard creation
  • Excellent verbal and written communication skills, with the ability to present findings clearly to both technical and non-technical audiences
  • Highly organized, deadline-driven, and capable of managing multiple priorities independently
  • Exposure to time study methodologies and labor standards a plus, but not required
  • Experience with WMS platforms (High Jump, Manhattan, Blue Yonder, etc.)
  • Willingness and ability to travel 10-25%

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