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Data Analyst Python Sql Jobs in Kalamazoo, MI (NOW HIRING)

Western Michigan University

IT Data Engineer

Kalamazoo, MI · On-site

$65K - $76K/yr

Develop and manage ETL processes using tools such as Pentaho and Microsoft SSIS, ensuring reliability and performance * Design and implement data models and schemas to support downstream analytics ...

Lantern

Strategy Analyst

Kalamazoo, MI · On-site

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

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How much do data analyst python sql jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data analyst python sql in Kalamazoo, MI is $77,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $91,500.00 per year, depending on experience, location, and employer.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Kalamazoo, MI? For Data Analyst Python Sql jobs in Kalamazoo, MI, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Kalamazoo, MI look for? The top searched job categories for Data Analyst Python Sql jobs in Kalamazoo, MI are:
What cities near Kalamazoo, MI are hiring for Data Analyst Python Sql jobs? Cities near Kalamazoo, MI with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Kalamazoo, MI as of June 2026, with employment types broken down into 2% Internship, 73% Full Time, 21% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $77,963 per year, or $37.5 per hour.
Business Systems Analyst

Business Systems Analyst

Depatie Fluid Power Company

Portage, MI • On-site

Full-time

Posted 24 days ago

Job description

Description:

At Depatie Fluid Power, we design, manufacture, and distribute hydraulic, pneumatic, and motion control solutions that help customers keep their operations running efficiently. As a Business Systems Analyst, you will play a key role in supporting and improving the systems, data, and processes that drive our business. Working closely with Sales, Engineering, Operations, and Supply Chain teams, you will help optimize our ERP environment, develop business insights through reporting and analytics, and identify opportunities for continuous improvement.


This role directly impacts our ability to serve customers, improve operational efficiency, and support business growth. The ideal candidate is a proactive problem solver who will leverage technology, data, automation, and emerging AI solutions to streamline processes, improve decision-making, and deliver measurable business results.


Curious to know what Depatie is about?

https://www.youtube.com/watch?v=4vYKreL9ZXg


This role is on-site only in Portage, MI

Requirements:

Responsibilities:

  • Support the Business System Administrator with the implementation, maintenance, and enhancement of ERP systems, software applications, and business technologies.
  • Develop analytics, dashboards, and business intelligence reporting tools to provide actionable insights for management and operational teams.
  • Lead AI and data analytics initiatives that improve business performance, operational efficiency, and decision-making across the organization.
  • Identify, evaluate, and implement artificial intelligence, machine learning, and automation solutions that support continuous improvement objectives.
  • Collaborate with Sales, Engineering, Operations, Supply Chain, and other cross-functional teams to streamline processes and eliminate inefficiencies through technology-driven solutions.
  • Design, develop, and maintain data models, KPIs, and performance metrics to support strategic business goals.
  • Analyze large datasets to identify trends, opportunities, risks, and process improvement recommendations.
  • Research emerging technologies, AI applications, and analytics tools to ensure the organization remains competitive and innovative.
  • Develop and deliver employee training programs on ERP systems, business software, analytics tools, AI applications, and best practices.
  • Support data governance initiatives by promoting data accuracy, consistency, security, and reporting standards throughout the organization.
  • Identify organizational challenges and recommend technology-based solutions that improve productivity, quality, and customer satisfaction.
  • Partner with business leaders to define requirements, prioritize projects, and measure the effectiveness of implemented solutions.
  • Create and maintain documentation for system configurations, workflows, reports, dashboards, and AI-enabled processes.
  • Independently troubleshoot and resolve system, reporting, and data-related issues.
  • Handle multiple projects and priorities while effectively managing timelines and stakeholder expectations.
  • Effectively communicate technical information to both technical and non-technical audiences through written and verbal communication.
  • Other duties as assigned.

Qualifications:

  • Bachelor's Degree in Business Analytics, Information Systems, Computer Science, Business Administration, or a related field; equivalent experience may be considered.
  • 0-3+ years of experience in business systems analysis, ERP administration, business intelligence, data analytics, or a related role.
  • Experience developing dashboards, reports, and data visualizations using tools such as Power BI, Tableau, or similar platforms.
  • Knowledge of data analysis, SQL, database structures, and reporting methodologies.
  • Experience evaluating, implementing, or supporting AI, automation, and technology solutions that drive business improvement.
  • Strong analytical, problem-solving, project management, and communication skills with the ability to work effectively across departments.
  • Manufacturing and ERP system experience preferred, including familiarity with operational, supply chain, engineering, or sales processes.