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

Senior Accountant

Lafayette, IN · On-site

$71K - $89K/yr

... or SQL a plus * Strong written and verbal communication skills for working with and explaining financial data to employees at a variety of levels in an organization * Strong analytical skills to ...

Senior Accountant

Lafayette, IN · On-site

$71K - $89K/yr

... or SQL a plus * Strong written and verbal communication skills for working with and explaining financial data to employees at a variety of levels in an organization * Strong analytical skills to ...

Senior Accountant

Lafayette, IN · On-site

$71K - $89K/yr

... or SQL a plus * Strong written and verbal communication skills for working with and explaining financial data to employees at a variety of levels in an organization * Strong analytical skills to ...

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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 15, 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:
Group Leader - Production Control Analytics

Group Leader - Production Control Analytics

Subaru of Indiana Automotive, Inc.

Lafayette, IN • On-site

Full-time

Posted 28 days ago


Subaru of Indiana Automotive rating

6.6

Company rating: 6.6 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

36th of 44 rated automakers


Job description

Group Leader - Production Control Analytics
Production Control Department
Position Summary:
The Group Leader - Production Control Analytics (PCA) leads the development and execution of data analysis, reporting, and system solutions that support operational performance. This role supervises and coordinates team activities, partners with stakeholders to define and prioritize project work, and ensures the timely delivery of high-quality analytics aligned with business objectives. The Group Leader drives process improvements, enhances data visualization, and supports decision-making.
Outline of duties:
  • Serve as the central hub for Production Control Analytics (PCA), leading data analysis efforts and the design, development, and maintenance of tools and systems.
  • Collaborate with requesting stakeholders to define project scope, assess requirements, and assign work appropriately within the PCA team.
  • Manage and oversee multiple development projects concurrently, ensuring timely delivery, quality standards, and alignment with business objectives.
  • Develop a working knowledge of Production Control group functions to identify opportunities for improved system capabilities, enhanced data visualization, and greater process efficiency.
  • Apply a strong business-value mindset when developing solutions, incorporating digital awareness, risk assessment, business continuity considerations, and capability requirements.
  • Lead PC analytics solutions by advising Production Control on data management best practices and delivering descriptive and predictive analytics that positively impact organizational KPIs.
  • Partner with the Production Control Planning group to develop production simulations that support operational efficiency and decision-making.
  • Develop and enhance systems for tracking and reporting labor/HC requirements, budgets, and authorizations, including improved methods for capturing inputs from individual manufacturing areas.
  • Performs all other duties as assigned.

Minimum Qualifications:
  • Bachelor's degree in Engineering, Information Systems, Data Analytics, Computer Systems or Technical related field.
  • 3+ years of relevant experience
  • Experience in data analytics development utilizing Excel, SQL, Visual Basic, Power BI, or similar software.

Desired Qualifications:
  • Master's degree in Engineering, Business, or Manufacturing Technology related field
  • Previous supervisory or management experience
  • 5+ years of relevant experience

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

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