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Data Analyst Python Sql Jobs in Lafayette, IN (NOW HIRING)

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Data Analyst Python Sql information

See Lafayette, IN salary details

$32.7K

$79.5K

$130.8K

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

As of Jul 20, 2026, the average yearly pay for data analyst python sql in Lafayette, IN is $79,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 Lafayette, IN? For Data Analyst Python Sql jobs in Lafayette, IN, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Lafayette, IN look for? The top searched job categories for Data Analyst Python Sql jobs in Lafayette, IN are:
What cities near Lafayette, IN are hiring for Data Analyst Python Sql jobs? Cities near Lafayette, IN with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Group Leader - IT Systems Development

Group Leader - IT Systems Development

Subaru

Lafayette, IN • Hybrid

Other

Posted 7 days ago

Subaru rating

6.6

Company rating: 6.6 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

36th of 44 rated automakers

Job description

Group Leader - Systems Development

Information Technology Department

Position Summary:

The Group Leader, IT Systems Development, leads a team of developers responsible for developing and maintaining a broad portfolio of software that runs SIA's business.  This role is responsible for all aspects of software development in a dynamic, fast-paced environment, managing projects, contributing to technical direction, and driving continuous improvement.

Outline of Duties:

  • Lead all aspects of the full software development lifecycle (SDLC)
  • Receive project and change requests, ensuring key information is collected.  Prioritize projects and tasks in coordination with other development groups, section management, and other stakeholders.
  • Plan and manage projects.  Deliver projects on time, and within scope and budget. 
  • Investigate and troubleshoot issues, assess impact, and identify root cause.  Propose and implement solutions to prevent recurrent problems.
  • Respond to ad hoc requests for information quickly and accurately, with an eye to developing self-service solutions for recurring requests.
  • Analyze the upstream implications and downstream impacts of proposed changes and issues and ensure all impacted processes and objects are addressed.
  • Ensure the quality, security, and timeliness of group deliverables through thoughtful direction and judicious review.
  • Manage developer performance: plan training, mentor staff, and write performance reviews.
  • Report team and project status, document problems and resolutions.
  • Maintain a working knowledge of the "state of the art" in software development.  Identify and act on opportunities to help SIA take advantage of improvements in development speed and quality, application capability and performance, and cybersecurity.  
  • Guide continuous modernization/evergreening of supported applications and related infrastructure. 
  • All other duties as assigned.

Minimum Qualifications: 

  • Bachelor's degree in Computer Science, Software Engineering, or equivalent 
  • Three years software application development experience 
    • Strong technical background in Java-based application development ecosystems.
  • Demonstrated understanding of:
    • SQL and relational databases
    • Modern software design patterns and architecture principles
  • Excellent communication and collaboration skills
  • Strong problem-solving capability with attention to detail
  • Ability to manage multiple priorities in dynamic environment
  • Ownership mindset with a focus on quality and continuous improvement

Preferred Qualifications:

  • Experience leading or mentoring technical teams
  • Ability to evaluate and guide technical decisions
  • Understanding of RESTful APIs, systems integrations, CI/CD pipelines, version control, cloud environments
  • Experience working in real-time operational environments with preference to experience in manufacturing systems.
  • Familiarity with data-driven decision making and analytics Familiarity with Agile or hybrid project methodologies

Subaru of Indiana Automotive, Inc. is an equal opportunity employer committed to employing a diverse workforce.

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