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Senior Python Data Analysis Jobs in Minnesota (NOW HIRING)

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

In this role, you willleveragequerying, statistical analysis, visualization, and automation to ... Intermediatelyaccomplishedwith Python or R * Experience in analytics tools such as: SQL, Excel ...

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 ...

Aon Corporation

Data Analyst

Bloomington, MN · On-site

$93K - $120K/yr

Perform business analysis to define requirements, prioritize work, and translate business questions into actionable analytics and reporting. * Compose and build Python-based algorithms and data ...

Aon Corporation

Data Analyst

Bloomington, MN

$93K - $120K/yr

Perform business analysis to define requirements, prioritize work, and translate business questions into actionable analytics and reporting. * Compose and build Python-based algorithms and data ...

LivaNova

Data Analyst

Minneapolis, MN

$70K - $100K/yr

... analysis, reporting, and visualization support to the Statistics & Data Science team across post ... Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with ...

New

THOMSON REUTERS

Data Analyst, Government

Eagan, MN · Hybrid

Strong experience with data analysis tools, including Tableau, PowerBI, and Alteryx * Familiarity with the following technologies is beneficial: Python, SQL, SAP, and Business Objects #LI-ES1 What ...

Thomson Reuters

Data Analyst, Government

Eagan, MN · On-site

Strong experience with data analysis tools, including Tableau, PowerBI, and Alteryx * Familiarity with the following technologies is beneficial: Python, SQL, SAP, and Business Objects #LI-ES1 What ...

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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 Data Scientist Engineer - SFL Scientific

Senior Data Scientist Engineer - SFL Scientific

Deloitte

Minneapolis, MN • On-site

Full-time

Posted 26 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading consulting firm that provides strategic and transactional services to clients. They are seeking a Senior Data Scientist to collaborate with clients on designing and developing innovative data science projects and solutions, focusing on AI and machine learning applications.
Responsibilities:
• Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
• Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
• Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
• Validate AI models and algorithm via code reviews, unit, and integration tests
• Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
• Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
Qualifications:
Required:
• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
• 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
• 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
• 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• 2+ years of experience working in a client-facing, consulting environment
• 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
• 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
• 1+ year of experience with AWS Sagemaker or AWS ML Studio
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 2008, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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