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Data Analyst Github Jobs in Indiana (NOW HIRING)

Merchants Bank of Indiana

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

Develop scalable data models for investment reporting, portfolio analytics, and capital markets ... Experience designing and managing CI/CD pipelines (Azure DevOps, GitHub, or similar). * Experience ...

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... GitHub), and CI/CD workflows. • Experience with reporting platforms, including modeling data in support of reporting and analysis. • Preferred experience with Matillion, Melissa, Power BI ...

AEG

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... GitHub), and CI/CD workflows. • Experience with reporting platforms, including modeling data in support of reporting and analysis. • Preferred experience with Matillion, Melissa, Power BI ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

... GitHub Actions or similar) is a plus • Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog, Microsoft Purview) is a plus • Applies software engineering best ...

Neumo

BI Engineer I (Hybrid)

Fort Wayne, IN · On-site

$113K - $135K/yr

Write and optimize SQL queries to support data transformations and analytics. * Manage environment ... Collaborate with team members using Azure DevOps and/or GitHub for version control and deployment.

SynergisticIT

Entry Level ML Engineer

Zionsville, IN

... Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer ...

SEP

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Exposure to infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plus * Experience with analytics engineering tools like dbt and data catalog ...

SEP

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Exposure to infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plus * Experience with analytics engineering tools like dbt and data catalog ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Exposure to infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plus * Experience with analytics engineering tools like dbt and data catalog ...

Kobie Marketing

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

Demonstrated CI/CD experience using GitHub and GitHub Actions * Experience with data replication ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

SEP

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

Familiarity with infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plus * Experience with analytics engineering tools like dbt and data ...

SEP

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

Familiarity with infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plus * Experience with analytics engineering tools like dbt and data ...

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All JobsData Analyst Github JobsData Analyst Github Jobs in Indiana

Data Analyst Github information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do data analyst github jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data analyst github in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

How does a Data Analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

What are the key skills and qualifications needed to thrive as a Data Analyst on GitHub, and why are they important?

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What are Data Analysts on GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What are popular job titles related to Data Analyst Github jobs in Indiana? For Data Analyst Github jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Analyst Github jobs in Indiana look for? The top searched job categories for Data Analyst Github jobs in Indiana are:
What cities in Indiana are hiring for Data Analyst Github jobs? Cities in Indiana with the most Data Analyst Github job openings:
Data Analyst Github jobs near you

Azure Data Architect

Purple Drive Technologies

Indianapolis, IN • On-site

$61 - $78.50/hr

Full-time

Posted 13 days ago

Job description

Overview:
Job Description:
About the job you're considering
We are seeking an accomplished Senior Data & AI Architect to lead the design and delivery of enterprise-scale data engineering and AI-driven solutions. This role requires deep expertise in Azure cloud architecture, Databricks, modern data ingestion frameworks, Building Canonical Data Models, and Medallion architecture, along with strong leadership and communication skills. The ideal candidate will define enterprise data standards, architect scalable platforms, and collaborate across global teams to deliver high-quality data products.
Your role:
  • Lead architecture and solution design for large-scale Data & AI platforms on Azure.
  • Design and implement data acquisition frameworks using CDC, batch, micro-batch, and real-time streaming patterns with Spark.
  • Architect and manage data storage solutions using ADLS Gen2, domain/sub-domain-based storage, and data product containers.
  • Build and govern Medallion (Bronze/Silver/Gold) data layers for enterprise analytics and AI use cases.
  • Provide hands-on technical leadership using Python, PySpark, and Databricks Notebooks.
  • Define and enforce data architecture standards, reference architectures, and design patterns.
  • Design and oversee data governance, security, and access control models, including Unity Catalog.
  • Integrate CI/CD pipelines, GitHub workflows, and automated deployment practices.
  • Leverage AI-based code assistance tools (e.g., GitHub Copilot, Databricks Genie) to improve developer productivity and code quality.
  • Collaborate effectively with onshore and offshore teams, mentoring engineers and architects.
  • Communicate technical solutions clearly to business stakeholders, architects, and leadership.

Skills and experience
  • 20+ years of experience delivering Data & AI-driven projects.
  • 10+ years of experience in solution architecture, primarily on cloud platforms.
  • 7+ years of hands-on experience in:
    • Data acquisition framework design
    • Spark-based ingestion (CDC, batch, streaming, micro-batch)
    • Handling structured and unstructured data
    • Azure Data Lake Storage (ADLS Gen2) and cloud storage architectures
    • Azure cloud platform and Databricks (including Unity Catalog)
  • 5+ years of hands-on experience with Python, PySpark, Databricks Notebooks, GitHub, and CI/CD pipelines.
  • 2+ years of experience leveraging AI-powered development tools.
  • Strong understanding of enterprise data governance, security, and access management.
  • Experience leading enterprise data modernization initiatives.
  • Exposure to AI/ML enablement through data platforms.
  • Prior experience in highly regulated or large-scale enterprise environments.

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