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Data Analyst Github Jobs in Plainfield, IN (NOW HIRING)

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 ...

Data Engineer

Carmel, IN

$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 ...

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 ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Analyze complex data sets and technical problems to design effective, flexible, and innovative ... Leverage AI-assisted development tools like GitHub Copilot Qualifications * Bachelor's degree in ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$106K - $197K/yr

Analyze complex data sets and technical problems to design effective, flexible, and innovative ... Leverage AI-assisted development tools like GitHub Copilot Qualifications * Bachelor's degree in ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Analyze complex data sets and technical problems to design effective, flexible, and innovative ... Leverage AI-assisted development tools like GitHub Copilot Qualifications * Bachelor's degree in ...

Manager, Data Engineering

Carmel, IN · On-site +1

$111K - $185K/yr

Oversee the full software development lifecycle for data pipelines, transformations, and analytics ... Hands-on experience with AI coding assistants (e.g., Claude Code, GitHub Copilot) as a primary part ...

Sr. Data Engineer

Indianapolis, IN · Remote

$108K - $147K/yr

... analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables ... Demonstrated CI/CD experience using GitHub and GitHub Actions * Experience with data replication ...

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

... analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables ... Demonstrated CI/CD experience using GitHub and GitHub Actions * Experience with data replication ...

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... CD pipelines, GitHub, and automated deployment practices. • Solid understanding of cloud ...

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

You will work closely with data engineers and business stakeholders to turn raw data into clean ... Experience with GitHub or an equivalent for version control and CI/CD. * Familiarity with ...

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

You will work closely with data engineers and business stakeholders to turn raw data into clean ... Experience with GitHub or an equivalent for version control and CI/CD. * Familiarity with ...

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

You will work closely with data engineers and business stakeholders to turn raw data into clean ... Experience with GitHub or an equivalent for version control and CI/CD. * Familiarity with ...

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Data Analyst Github information

See Plainfield, IN salary details

$33.4K

$81.1K

$133.4K

How much do data analyst github jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data analyst github in Plainfield, IN is $81,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $95,200.00 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 at 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 is a data analyst at 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.

Is GitHub good for data analysts?

GitHub is a valuable tool for data analysts as it facilitates version control, collaboration, and sharing of data projects and code. Many data analysts use GitHub to showcase their work, collaborate with teams, and manage project documentation, often integrating it with tools like Jupyter notebooks and data visualization libraries.

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 job categories do people searching Data Analyst Github jobs in Plainfield, IN look for? The top searched job categories for Data Analyst Github jobs in Plainfield, IN are:
What cities near Plainfield, IN are hiring for Data Analyst Github jobs? Cities near Plainfield, IN with the most Data Analyst Github job openings:
Infographic showing various Data Analyst Github job openings in Plainfield, IN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,072 per year, or $39 per hour.

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Job Type
Full-time
Description
Our business technology team is enhancing its data engineering capabilities with focus in financial services data including accounting, finance , and broader Enterprise Data initiatives. We are seeking a skilled Data Engineer, along with at least three years of experience, who will design, build, and maintain scalable data pipelines, integrations, and Lakehouse architectures utilizing Python, Microsoft Fabric, Azure DevOps, Jira and more.
Our Data Engineer will be able to do the following confidently and independently...
  • Design, build, and optimize ETL/ELT pipelines utilizing Microsoft Fabric Notebooks (Python) and Fabric Pipelines.
  • Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment pipelines, etc.) to automate code deployments, testing, and release processes.
  • Maintain version control across code, pipeline definitions, SQL models, and integration scripts.
  • Build and maintain integrations (initially Salesforce) for syncing data between source systems and the enterprise data warehouse in Microsoft Fabric.
  • Architect and manage Lakehouse (Bronze/Silver/Gold) structures aligning with enterprise medallion best practices.
  • Develop scalable data models for investment reporting, portfolio analytics, and capital markets insights.
  • Ensure schema alignment, consistency, and auditability across all inbound data flows.
  • Implement ongoing monitoring, validation, and reconciliation to support trusted investment and risk reporting.
  • Maintain metadata, data dictionaries, and technical documentation in alignment with Enterprise data governance.

Requirements
What we are looking for...
  • Bachelor's or Master's degree in computer science, data analytics, or a related field.
  • 3+ years of experience in data engineering or cloud ETL development.
  • Proficient in Python for data engineering, automation, and integration tasks.
  • Experience designing and managing CI/CD pipelines (Azure DevOps, GitHub, or similar).
  • Experience with version control (preferably Git-based) from managing code, pipelines, and deployment artifacts.
  • Hands-on experience integrating systems (Bulk API, REST API, or connector-based ingestion).
  • Experience with data quality frameworks and data governance concepts.

Preferred Skills:
  • Experience working with investment, capital markets, or financial services data.
  • Familiarity with Git-based workflows, DevOps pipelines, or Fabric deployment processes.
  • Power BI and semantic model support experience.
  • Experience with cloud-based orchestration or event-driven patterns.

Our Benefits: Health, Vision, Dental, 401K, ESOP, 100% Tuition Assistance, 4 weeks paid time off, plus a few more
About Merchants
Ranked as a top performing U.S. public bank by S&P Global Market Intelligence, Merchants Bancorp is a diversified bank holding company headquartered in Carmel, Indiana operating multiple segments, including Multi-family Mortgage Banking that offers multi-family housing and healthcare facility financing and servicing; Mortgage Warehousing that offers mortgage warehouse financing; and Banking that offers retail and correspondent residential mortgage banking, agricultural lending, and traditional community banking. Merchants Bancorp, with $18.8 billion in assets and $11.9 billion in deposits as of December 31, 2024, conducts its business primarily through its direct and indirect subsidiaries, Merchants Bank of Indiana, Merchants Capital Corp., Merchants Capital Investments, LLC, Merchants Capital Servicing, LLC, Merchants Asset Management, LLC, and Merchants Mortgage, a division of Merchants Bank of Indiana.
Merchants Bank and Merchants Capital have recently been honored with the 2025 USA Today Top Workplaces recognition, ranking 22nd nationally within the 500-999 employee category. This is the second year that Merchants has been recognized with this award. These accolades build on our strong history of workplace recognition, including being named a Best Place to Work in Indiana for seven consecutive years (2016-2022). For more information read the entire article here .