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

Skill Required · Data Visualization. · Data Cleaning. · MATLAB. · R. · Python. · SQL and NoSQL. · Machine Learning. · Linear Algebra and Calculus. Education Requirement Bachelors, Masters in ...

Experience with SQL, Tableau, Cognos, SAS, SPSS, Minitab, R. Python, Excel, and PowerPoint * Experience supporting higher education data, analytics, or reporting environments * Experience using ...

Experience with SQL, Tableau, Cognos, SAS, SPSS, Minitab, R. Python, Excel, and PowerPoint * Experience supporting higher education data, analytics, or reporting environments * Experience using ...

Use ETL and data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL, Python, MDX and other languages as needed * Develop ...

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

MDAEdge is seeking a dynamic Manufacturing Cybersecurity Analyst to join their team. This role ... SQL, Python. • Working knowledge of VMware. • Working knowledge of Windows Server and Linux ...

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Data Analyst Python Sql information

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$32.7K

$79.5K

$130.8K

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

As of May 28, 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.

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.

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 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:
Data Analyst

Data Analyst

SynergisticIT

West Lafayette, IN • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We intend to deliver exceptional student outcomes. We don't just help you secure a tech job but build a solid career in technology.

Job Description

· Managing master data, including creation, updates, and deletion.

· Managing users and user roles

· Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.

· Generating reports from single or multiple systems.

· Troubleshooting the reporting database environment and reports

· Evaluating changes and updates to source production systems.

· Training end-users on new reports and dashboards.

· Providing technical expertise in data storage structures, data mining, and data cleansing.

Skill Required

· Data Visualization.

· Data Cleaning.

· MATLAB.

· R.

· Python.

· SQL and NoSQL.

· Machine Learning.

· Linear Algebra and Calculus.

Education Requirement

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits

· On Job Technical support

· E- verified

·· Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.

If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you