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

... Analyst. This role involves supporting the strategy, development, implementation, and maintenance ... SQL, Python. • Working knowledge of VMware. • Working knowledge of Windows Server and Linux ...

They will bring strong analytical, problem-solving and organizational skills. They are comfortable ... Oracle (PL/SQL, stored objects) * Linux commands and shell scripting * Python, HTML, JavaScript ...

... Data Factory) (R) Areas of Knowledge: C# (R), .NET (R), JavaScript (R), X++ (for F&O) (R ... Collaborate with business analysts and stakeholders to gather requirements * Provide technical ...

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 ...

... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets 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 Aug 7, 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.

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 is a data analyst Python SQL?

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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

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 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:

OEM Cyber Security Analyst

MDAEdge

Kokomo, IN • On-site

Full-time

Re-posted 24 days ago


Job description

Job Summary:
MDAEdge is seeking a dynamic and results-driven individual to join as a Manufacturing Cybersecurity Analyst. This role involves supporting the strategy, development, implementation, and maintenance of manufacturing cybersecurity systems while collaborating with various teams to enhance business capabilities and ensure cybersecurity compliance.
Responsibilities:
• Work in partnership with manufacturing test engineering, systems engineering, and software engineering to anticipate requirements for integration of new manufacturing cybersecurity requirements and at the same time actively listen to requirements raised by local teams.
• Facilitate short and long-term strategic planning sessions with both central and local teams to improve, enhance and innovate business capability.
• Support the roll-out of processes and procedures compliant with latest cybersecurity standards and regulations
• Support cybersecurity risk assessments
• Interface with cybersecurity experts from major OEM manufacturers
• Work in partnership with the IT functions to anticipate the evolution of the information system architecture and determine specific actions to mitigate the risk of ongoing technology obsolescence.
• Provide 2nd level support for manufacturing operations including support, issue resolution and problem solving
• Responsible for gathering business requirements and objectives for cybersecurity projects
• Work closely with internal resources from IT, engineering, and operations on designing, developing, configuring, implementing, and maintaining systems for efficient and effective cybersecurity tool execution.
• Conduct key user training regarding shop floor systems as needed to ensure the systems are being used properly and that they are meeting business needs
• Help to configure and prepare the system for new products that are to be built at the manufacturing plant. This will include configuring, debugging, and deploying
• Document and maintain processes
• Excellent interpersonal, communication and presentation skills (oral and written)
• Ability to establish and maintain effective working relationships with others; work harmoniously and effectively as part of a global team
• Ability to work in remote and dispersed working environments such as overseas locations, cultural differences, and split time-zones
• Fluent in English, written and verbal
• Travel may be required up to 25%.
Qualifications:
Required:
• Bachelor's degree in IT, Cybersecurity, Software Engineering, or comparable course of studies.
• 2+ year experience in development of software required.
• 2+ year experience with relational databases required.
• Requires basic knowledge of cybersecurity principles (encryption, security properties, encryption algorithms, keys/certificates/signatures).
• Development experience in one or more languages: SQL, Python.
• Working knowledge of VMware.
• Working knowledge of Windows Server and Linux Operating Systems.
• Attention to detail and ability to quickly learn new technologies and tools.
• Excellent interpersonal, communication and presentation skills (oral and written).
• Ability to establish and maintain effective working relationships with others; work harmoniously and effectively as part of a global team.
• Ability to work in remote and dispersed working environments such as overseas locations, cultural differences, and split time-zones.
• Fluent in English, written and verbal.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.