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Contract Python Data Analysis Jobs in Minneapolis, MN

Stellar IT Solutions

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Data Engineer Richfield, MN 55423 (Local - Hybrid 2 Days/Week) 12+ Months Contract Project ... You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and ...

Stellar IT Group

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Data Engineer Richfield, MN 55423 (Local - Hybrid 2 Days/Week) 12+ Months Contract Project ... You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and ...

Varsity Tutors

Data Analysis Tutor

Edina, MN · Remote

$18 - $40/hr

What We Look For In a Data Analysis Tutor * Advanced Subject Mastery: Deep knowledge of data ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Stellar IT Solutions LLC

Data Engineer

Minneapolis, MN · Hybrid

$50 - $55/hr

Data Engineer Richfield, MN 55423 (Local - Hybrid 2 Days/Week) 12+ Months Contract Project ... You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and ...

Tactile Medical

Data Analyst

New Brighton, MN

The candidate must have strong experience using a variety of data mining/data analysis methods ... Experience in R, Python, or similar scripting language * Experience with data visualization and ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

The candidate must have strong experience using a variety of data mining/data analysis methods ... Experience in R, Python, or similar scripting language * Experience with data visualization and ...

Epitec

Data Analyst I

Little Canada, MN · On-site

$29 - $31/hr

Contract * Job #105399 Job Title: Data Analyst I Contract Duration: 1 year, possible extension Location: Little Canada, MN Work Arrangement: Onsite Pay Range: $29 - 31/hr Summary Seeking a detail ...

Windquest

Sr Data Analyst - Crecera Brands

Minneapolis, MN · On-site

$75K - $110K/yr

Key Responsibilities • Data Analysis & Insights o Analyze large, structured datasets to identify ... Python and R o Develop KPIs and metrics to monitor performance and support business strategy • ...

HealthPartners

Principal Data Analyst

Bloomington, MN · On-site

$50.32 - $75.48/hr

Experience using programming languages such as Python, R, or similar tools for data analysis and problem-solving. * Demonstrated experience and skill presenting findings and actionable ...

One Tech Engineering

Data Analyst

Minneapolis, MN

The Data Analyst will be supporting energy efficiency programs by ensuring data quality and ... Proficiency in SQL, Python, and Power BI. * Experience developing or working with data pipelines is ...

Robert Half

Provider Data and Contract Analyst

Hopkins, MN · On-site

$35 - $40/hr

... analysis related to how reimbursement terms influence claims adjudication and payment accuracy. • Bachelor's degree in a related field or equivalent practical experience, along with at least 3 ...

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All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Minneapolis, MN

Contract Python Data Analysis information

See Minneapolis, MN salary details

$13

$61

$90

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

As of Jul 26, 2026, the average hourly pay for contract python data analysis in Minneapolis, MN is $61.19, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 per hour, depending on experience, location, and employer.

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

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 Contract Python Data Analysis jobs?

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 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 Minneapolis, MN? The most popular types of Python Data Analysis jobs in Minneapolis, MN are:
What are popular job titles related to Contract Python Data Analysis jobs in Minneapolis, MN? For Contract Python Data Analysis jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Contract Python Data Analysis jobs in Minneapolis, MN look for? The top searched job categories for Contract Python Data Analysis jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Contract Python Data Analysis jobs? Cities near Minneapolis, MN with the most Contract Python Data Analysis job openings:
Contract Python Data Analysis jobs near you
Data Engineer

Data Engineer

Stellar IT Solutions

Minneapolis, MN • On-site

$119K - $143K/yr

Other

Posted 13 days ago

Job description

Data Engineer

Richfield, MN 55423 (Local - Hybrid 2 Days/Week)

12+ Months Contract

Project Description:
You will be part of the Myads reporting team responsible for building the measurement, reporting, and insights platform that powers Ads and the broader Retail Media Network. In this role, you will design, develop, and maintain scalable, reliable, and high-performance data solutions that enable advertisers, merchants, and internal teams to measure campaign performance and business impact.
As a Developer, you will build and enhance data pipelines, APIs, and cloud-based services on Google Cloud Platform (Google Cloud Platform) while contributing to the architecture and implementation of measurement platforms. You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and other cross-functional teams to deliver high-quality solutions that meet business needs and support growth objectives. You will participate in the full software development lifecycle, including design, implementation, testing, deployment, and ongoing optimization of data and measurement systems. This role is hybrid, which means you will work some days on site at the client's location and some days virtually from home.
Position Summary/Job Description:
Hire an experienced Data Engineer to design, build, and maintain scalable batch/streaming data pipelines on Google Cloud. The role requires deep SQL expertise, production grade orchestration with Apache Airflow (Cloud Composer), and strong Python for ELT/ETL, with exposure to Postgres.
Skills Overview:
SQL (5+ years)
Apache Airflow (Cloud Composer) (3+ years)
Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, GCS, Composer) (3+ years)
Python (5+ years)
Big Data (warehousing/processing concepts, performance)(5+ years)
Postgres (3+)
Experience
Design, develop, and operate reliable data pipelines and DAGs using Apache Airflow/Cloud Composer for batch and near real time workflows.
Build ELT/ETL on Google Cloud Platform services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage; Composer for orchestration); enforce coding, testing, and observability standards.
Write expert level SQL for modeling, complex transformations, windowing functions, and performance tuning; own query efficiency and cost optimization.
Develop Python data components (operators, hooks, transforms), packaging and CI/CD for deployment to Composer/Dataflow.
Work with Big Data ecosystems and MPP warehouses; support data ingestion, schema evolution, and partitioning/clustering strategies.
Integrate Postgres sources/targets
Partner with product, analytics, and platform teams; uphold security, compliance, data quality (DQ checks, SLAs), and documentation standards.
What are some preferred/nice to have skills the manager is looking for?
Who has worked in ads domain.
Should be able to talk to stakeholders and understand the problem and solve it efficiently
Preventing data quality issues before they impact users.
Prioritizing projects and handling multiple requests.

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