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Senior Python Data Analysis Jobs in Minnesota (NOW HIRING)

Old Republic

Senior Data Analyst

Minnetonka, MN · On-site

$100K - $115K/yr

As the Sr Data Analyst , you will work closely with business units, subject matter experts and ... The candidate will have advanced knowledge of SQL including writing queries for analysis and ...

Thomson Reuters

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Partner strategically with senior stakeholders to define complex reporting needs, deliver high ... Show advanced proficiency in programming languages such as Python or R for complex data analysis ...

THOMSON REUTERS

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Partner strategically with senior stakeholders to define complex reporting needs, deliver high ... Show advanced proficiency in programming languages such as Python or R for complex data analysis ...

UnitedHealth Group

Senior Data Analyst

Eden Prairie, MN · Remote

$87K - $110K/yr

As a Senior Data Analyst , you will play a critical role in transforming complex datasets into ... Knowledge of statistical analysis or basic machine learning techniques (e.g., Python, R, SAS) *All ...

UnitedHealth Group

Senior Data Analyst

Eden Prairie, MN · On-site

$87K - $110K/yr

As a Senior Data Analyst , you will play a critical role in transforming complex datasets into ... Knowledge of statistical analysis or basic machine learning techniques (e.g., Python, R, SAS) *All ...

UnitedHealth Group

Senior Data Analyst

Eden Prairie, MN · On-site

$91K - $163K/yr

As a Senior Data Analyst , you will play a critical role in transforming complex datasets into ... Knowledge of statistical analysis or basic machine learning techniques (e.g., Python, R, SAS) *All ...

Accelint

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/yr

Senior Data Scientist * Full Time * Onsite/Hybrid Preferred The Senior Data Scientist is ... Experience analyzing system performance data and time series data. * Proficiency in Python and its ...

Droisys

Sr. Data Quality Analyst

Minneapolis, MN · On-site

Position : Sr. Data Quality Analyst Location : Minneapolis MN Duration : 6+ months Interview format ... Candidates with strong testing experience and more important on Data Analysis & SQL skills. The ...

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Senior Python Data Analysis information

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

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

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
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 Senior Python Data Analysis jobs in Minnesota? For Senior Python Data Analysis jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Minnesota look for? The top searched job categories for Senior Python Data Analysis jobs in Minnesota are:
Senior Python Data Analysis jobs near you
Senior Consultant, Data Analytics & Reporting - Ag & Trading

Senior Consultant, Data Analytics & Reporting - Ag & Trading

Cargill

Wayzata, MN • Hybrid

$107K - $183K/yr

Other

Posted 28 days ago

Cargill rating

7.5

Company rating: 7.5 out of 10

Based on 218 frontline employees who took The Breakroom Quiz

17th of 48 rated food wholesalers

Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. 
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.

Job Purpose and Impact
  • The Senior Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With minimal supervision, this job collaborates with cross functional teams to ensure data accuracy and integrity performing data and statistical analysis using various programming languages. This job plays a key role in effectively presenting data findings to partners to meet business objectives.
Key Accountabilities
  • DATA COLLECTION & ANALYSIS: Captures, processes, prepares, and analyzes complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis.
  • STAKEHOLDER MANAGEMENT: Cultivates and maintains positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.
  • REPORTING & VISUALIZATION: Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
  • STATISTICAL ANALYSIS: Performs statistical analysis to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
  • PROCESS IMPROVEMENT: Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
  • COLLABORATION: Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
  • LITERACY: Coaches and advises to mature data consumption and analytics capabilities.
  • DATA ANALYSIS: Conducts complex data analyses to uncover trends, patterns, and actionable insights for decision making.
  • QUALITY ASSURANCE & DATA VALIDATION: Ensures the accuracy, consistency, and security of data across all reports and analyses.
  •  #LI-RJ2 #LI-Hybrid  
Qualifications
  • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
  • Proficiency with SQL and ability to understand relational data models.
  • Proficiency with PowerBI.

Preferred Qualifications:

  • Experience with SAP and Salesforceproficiency with python experience with advanced analytic algorithms, including regression, clustering, time series forecasting.

The expected salary for this position is $107,000.00 - 183,000.00 USD. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions) 

Equal Opportunity Employer, including Disability/Vet.

What Cargill employees say

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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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