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Day Shift Python Data Analyst Jobs in Indiana (NOW HIRING)

Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization tools like Tableau, Power BI, or Google Data Studio. Strong analytical and problem-solving ...

... either R or Python, including data cleaning, running descriptive statistics and full analyses. • Working knowledge of epidemiological methods, study design, and analysis needed with an ...

... to Python scripting for data work including API calls, data preparation, and analysis preferred ... every day. Connect with AAA Hoosier: Facebook: www.facebook.com/aaahoosier Company Website: www ...

Posted today

... to Python scripting for data work including API calls, data preparation, and analysis preferred ... every day. Connect with AAA Hoosier: Facebook: www.facebook.com/aaahoosier Company Website: www ...

... to Python scripting for data work including API calls, data preparation, and analysis preferred ... every day. Connect with AAA Hoosier: Facebook: www.facebook.com/aaahoosier Company Website: www ...

... to Python scripting for data work including API calls, data preparation, and analysis preferred ... every day. Connect with AAA Hoosier: Facebook: www.facebook.com/aaahoosier Company Website: www ...

Posted today

... and Python preferred) * data visualization tools (Tableau preferred) Additional Information ... days Career Stream Professional 2 * Pay Band S060 * Job Code #20002210 Career path maker: The ...

Proficiency in data analysis tools such as SQL, Python, R, or Excel. * Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio. * Strong analytical and problem-solving ...

... data analytics. Our clients span the public and private sectors, and our work helps them solve ... Preferred Qualifications · Proficiency in Python, including Pandas or similar libraries, and Excel ...

Build ad hoc reports and perform data analysis based on evolving client needs and business ... Preferred Qualifications Proficiency in Python, including Pandas or similar libraries, and Excel.

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

Hybrid - 3 days onsite Hours: 40.0 Overview Supports pharmacy dispensing and fulfillment operations ... Proficiency in SQL, Excel, and at least one statistical programming language (Python or R)

Metrics and Data Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... Proficiency in data analysis programming languages such as Python, R, SQL, or equivalent

Metrics and Data Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... Proficiency in data analysis programming languages such as Python, R, SQL, or equivalent

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Proficiency in data analysis tools such as SQL, Python, or R, and experience with data visualization tools such as Tableau or Power BI. Experience with relevant programming languages and relational ...

... either R or Python, including data cleaning, running descriptive statistics and full analyses. • Working knowledge of epidemiological methods, study design, and analysis needed with an ...

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Day Shift Python Data Analyst information

Infographic showing various Day Shift Python Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Re-posted 20 days ago


Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
Validate and verify data accuracy, consistency, and completeness across various data sources.
Identify and resolve data discrepancies, inconsistencies and errors.
Performa routine and ad hoc data quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.