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Senior Python Data Analysis Jobs in South Dakota

Data Analyst III

Sioux Falls, SD ยท On-site

$90 - $140/hr

Perform statistical and quantitative analysis to identify trends, patterns, and correlations ... Knowledge of R or Python preferred * Knowledge of Database, Data Engineering, DevOps, and API ...

Sr. Data, Reporting Analyst

Sioux Falls, SD ยท On-site

$82K - $104K/yr

As a Sr. Data & Reporting Analyst, your primary focus will be on transforming complex data into ... Perform root cause analysis and resolve complex data, reporting, and system issues through ...

Knowledge of R or Python is preferred. Principal Responsibilities: * Design and develop optimized enterprise data analytics solutions for client, market, product, and operational functions that ...

Knowledge of R or Python is preferred. Principal Responsibilities: * Design and develop optimized enterprise data analytics solutions for client, market, product, and operational functions that ...

Knowledge of R or Python is preferred. Principal Responsibilities: * Design and develop optimized enterprise data analytics solutions for client, market, product, and operational functions that ...

Experience with Python, R, or a similar programming language used for data analysis. * Experience using Tableau, Power BI, or another data visualization platform. * Strong analytical, problem-solving ...

Experience with Python, R, or a similar programming language used for data analysis. * Experience using Tableau, Power BI, or another data visualization platform. * Strong analytical, problem-solving ...

SD

$157K - $207K/yr

Collaborate closely with project managers, engineers, and analysts to elevate our data ecosystem ... Visualization tools (Power BI, Looker); and Programming languages (Python, Go, Scala, and Java)

Perform ad hoc analysis to support business decisions. * Gather, analyze, and interpret data from ... Leverage Python, Tableau, and Power BI for analytics and reporting. Business Analyst I * Early ...

Perform ad hoc analysis to support business decisions. * Gather, analyze, and interpret data from ... Leverage Python, Tableau, and Power BI for analytics and reporting. Business Analyst I * Early ...

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Senior Python Data Analysis information

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 key skills and qualifications needed to thrive as a senior Python data analyst?

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 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 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 the most commonly searched types of Python Data Analysis jobs in South Dakota?

The most popular types of Python Data Analysis jobs in South Dakota are:

What are popular job titles related to Senior Python Data Analysis jobs in South Dakota?

For Senior Python Data Analysis jobs in South Dakota, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Analysis jobs in South Dakota look for?

The top searched job categories for Senior Python Data Analysis jobs in South Dakota are:

Data Analyst III

Jobtailor

Sioux Falls, SD โ€ข On-site

$90 - $140/hr

Other

Posted 12 days ago


Job description

  • Design and develop advanced enterprise-scale data analytics solutions to identify patterns and trends, analyze root cause, and improve data quality, consistency, and accessibility
  • Build analytics solutions using current and emerging techniques to deliver client insights and enable data-informed decisions, efficiencies, and innovation
  • Consult with business lines to understand objectives, key results, and solution requirements
  • Design optimized enterprise data analytics solutions for client, market, product, and operational functions
  • Develop and improve tabular models, analytics solutions, strategies, reporting, and visualizations
  • Lead Data Engagement initiatives using dynamic reports and dashboards driven by universal tabular models
  • Collaborate with technology teams to design and develop tabular models and data storage and access
  • Build relationships with business line managers and partner with stakeholders to scope data engagement solutions
  • Advise on data best practices, automation, technical capabilities, and efficiencies
  • Provide technical leadership to technology team members on data analytics projects
  • Support data governance, data literacy, and data stewardship initiatives
  • Lead assigned data governance initiatives and key results
  • Perform statistical and quantitative analysis to identify trends, patterns, and correlations
  • Maintain knowledge of innovative data strategy and governance tools, industry best practices, data sources, platforms, models, and systems
  • Follow company policies, compliance procedures, and required training
Requirements
  • Bachelor's degree plus six years of related work experience, or equivalent
  • Experience building solutions using advanced analytics
  • Experience working with financial data
  • Research-oriented with strong analytical and problem-solving skills
  • Ability to communicate the value of company data to leaders at all levels
  • Experience leading solution development with multiple contributors
  • Extensive experience with tabular data models
  • Microsoft SQL Server experience
  • T-SQL query writing
  • DAX experience
  • Data visualization using Microsoft's BI stack
  • Understanding of relational and non-relational databases
  • Microsoft Power BI Data Analyst Associate (PL-300) certification required; must be obtained within six months of hiring
  • Knowledge of R or Python preferred
  • Knowledge of Database, Data Engineering, DevOps, and API concepts
  • Ability to comply with FBT policies, procedures, and compliance training
Core Competencies

Demonstrates expertise in designing and developing enterprise-scale data analytics solutions, with a strong focus on tabular models, data visualization, and statistical analysis. Proven ability to lead data governance initiatives and collaborate with stakeholders to drive data-informed decision-making.

Highest-signal resume keywords
  • Tabular Data Models
  • Microsoft SQL Server
  • T-SQL Query Writing
  • Data Visualization Using Microsoft BI Stack
  • Microsoft Power BI Data Analyst Associate (PL-300)
ATS Optimization KeywordsHard Skills
  • Advanced Analytics Solutions
  • Statistical Analysis
  • Data Quality Improvement
  • Root Cause Analysis
  • Data Governance
  • Data Literacy
  • Data Stewardship
  • Automation Best Practices
  • Relational Databases
  • Non-Relational Databases
Soft Skills
  • Analytical Skills
  • Problem-Solving Skills
  • Communication Skills
  • Collaboration Skills
  • Relationship Building
Certifications & Qualifications
  • Microsoft Power BI Data Analyst Associate (PL-300)
Industry Keywords
  • Data Analytics
  • Data Engagement
  • Financial Data
  • Data Strategy
  • Compliance Procedures
Tools & Technologies
  • Microsoft Power BI
  • DAX
  • R
  • Python
  • Data Engineering Tools
  • DevOps Concepts
  • API Concepts
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