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Freelance Python Data Analysis Jobs in Minnesota

Lancesoft

Data Engineer

Minneapolis, MN · On-site +1

$75.75 - $83.33/hr

Experience with Python/Pyspark coding for data movement and analysis. Required Skillset: * Senior level (5+ years) hands-on SQL experience with big data platforms/databases like Google BigQuery ...

Jobtailor

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

* Independently identify, analyze, and interpret patterns in our data using the appropriate technique ... Proficiency in Python and SQL. * Experience operationalizing statistical and machine learning ...

New

Cliftonlarsonallen

Data Analyst Senior

Minneapolis, MN · On-site +1

$107K - $155K/yr

... Python. The Data Analyst Senior cleans up data for analysis and/or visual display in a report or ... Data Analysis: Participate in the collection and analysis of data using a variety of data tools.

Solution Design Group

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... as Python, Java, JavaScript or C# • Experience using messaging middleware such as RabbitMQ, ActiveMQ, MSMQ and IBM MQ or other related technologies • Data analysis and visualization tools ...

Dlapiper

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · On-site

$121K - $176K/yr

Proficient in SQL and Python for data analysis, transformation, and pipeline development. HOW WE INVEST IN YOU * Competitive pay * 100% employer paid HDHP insurance premiums for employees * 401(k) ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · Hybrid

$121K - $176K/yr

Proficient in SQL and Python for data analysis, transformation, and pipeline development. HOW WE INVEST IN YOU * Competitive pay * 100% employer paid HDHP insurance premiums for employees * 401(k) ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

BA/BS or equivalent experience * 3+ years of work experience in data analysis or masters level education in business analytics, data science, etc. * Utilize tools (Python, SQL) to build insights and ...

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Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Minnesota? The most popular types of Python Data Analysis jobs in Minnesota are:
What are popular job titles related to Freelance Python Data Analysis jobs in Minnesota? For Freelance Python Data Analysis jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Minnesota look for? The top searched job categories for Freelance Python Data Analysis jobs in Minnesota are:
What cities in Minnesota are hiring for Freelance Python Data Analysis jobs? Cities in Minnesota with the most Freelance Python Data Analysis job openings:
Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Engineer

Lancesoft

Minneapolis, MN • On-site, Remote

$75.75 - $83.33/hr

Temporary

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Job description


Shift: 1st Shift, Monday-Friday, standard working hours
Duration: 12 Months
Pay range: $75.75/hr. - $83.33/hr.
Remote
Job Description
Data Analyst -Finance Data Platform
Purpose: Support data validation, data reconciliation, and reports development for the Finance mainframe application modernization and data platform migration to modern GCP-based data platform.
Outcome: Identify data variance between legacy and modern platforms for modern Finance applications and 2 quarter parallel operation. Collaborate with product and business teams to identify root causes for the variances and resolve/document the variance to assist on Go-Live decision.
Core Skill: Hhands-on SQL experience with big data platforms/databases like Google BigQuery, Hadoop or similar data platform. Senior experience with ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or similar tools. Experience with Python/Pyspark coding for data movement and analysis.
Required Skillset:
  • Senior level (5+ years) hands-on SQL experience with big data platforms/databases like Google BigQuery, Hadoop or similar data platform.
  • Senior experience with ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or similar tools.
  • Good experience with Python/Pyspark coding for data movement and analysis.
  • Experience with data visualization and reporting tools such as Power BI, Looker, and LookML for dashboard development, KPI reconciliation, semantic layer validation, and data analysis.
  • Strong experience in data analysis, data validation, source-to-target reconciliation, duplicate detection, reject/error validation, audit/control total validation, and business rule validation.
  • Ability to analyze mapping documents, reporting requirements, transformation logic, data lineage, and data quality rules.
  • Experience creating reconciliation reports, validation summaries, exception reports, defect logs, and business sign-off documentation.
  • Strong communication and collaboration skills with the ability to work closely with engineering, product, finance, business, and legacy system teams.
Preferred Skillset:
  • Prior retail industry experience, especially working with large enterprise data in finance, supply chain, merchandising, inventory, stores, sales, digital, product, or customer domains.
  • Experience working with Google Cloud Medallion Data Layer and GCP supported data processing tools.
  • Familiarity with SAP S4 data structure and finance domain report building experience.
  • Experience working in agile delivery environments, including user stories, acceptance criteria, sprint ceremonies, defect triage, and iterative delivery.
General requirements:
  • Develop queries and dataset required to validate legacy vs modern applications datasets to identify data variances.
  • Develop reports using end user visualization tools to present the variances and trends between sources.
  • Document data variances and identified root causes in collaboration with Product Manager/Engineers/Business Teams and get business sign off for known variances.
  • Build dashboards for data variance trend for the stakeholders and assist on determining tolerance thresholds for Go Live decisions.
  • 5+ years working in data analytics role.
  • 1-3 years of experience working in agile team.

Employee Benefits:
At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits:
  • Four options of medical Insurance
  • Dental and Vision Insurance
  • 401k Contributions
  • Critical Illness Insurance
  • Voluntary Permanent Life Insurance
  • Accident Insurance
  • Other Employee Perks
About LanceSoft
LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch.
Meet Your Recruiter
Tushar Ghatode
LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

Social media

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