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Data Analyst Github Jobs in Wichita, KS (NOW HIRING)

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Data Analyst Github information

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$30.4K

$73.9K

$121.7K

How much do data analyst github jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data analyst github in Wichita, KS is $73,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $86,800.00 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.

Lead Product Software Engineer - Cloud Ops

Wolters Kluwer

Wichita, KS • Remote

$53.75 - $69.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Wolters Kluwer rating

9.0

Company rating: 9.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

We're looking for a Lead Product Software Engineer - Cloud Operations to join InnovateHub, our startup-within-the-enterprise that co-designs AI solutions with customers across Wolters Kluwer's Tax and Accounting product portfolio. In this role you'll own the infrastructure foundations that power our AI products: designing cloud architecture, delivering Terraform-managed environments, building product and operational health reporting, and enabling development teams to ship with confidence.

InnovateHub operates with close collaboration between engineers, product managers, UX designers, and researchers. Engineers deeply understand business problems, product managers rapidly prototype ideas, and designers and researchers translate user needs into elegant, evidence-based solutions. We work in fast feedback cycles, obsess over customer value, and blur traditional role boundaries to focus on solving the right problems. We practice Agile and XP methodologies with weekly sprints, BDD/TDD practices, and pair programming with daily rotation to support high team cohesion and knowledge sharing.

This role is ideal for someone who bridges infrastructure and product engineering, equally comfortable writing Terraform modules, designing Azure architectures, and consulting with developers on observability and deployment patterns. You'll coordinate closely with Infrastructure Operations and Architecture teams while serving as the cloud operations anchor within InnovateHub.

Key Responsibilities:

Infrastructure Delivery & Architecture

  • Own Terraform delivery for InnovateHub's Azure environments, authoring and maintaining infrastructure-as-code modules that are secure, repeatable, and compliant with SOC 2 and IRS 7216 requirements.
  • Collaborate with Infrastructure Operations and Architecture and Product teams to design, review, and evolve cloud infrastructure, ensuring alignment with enterprise standards and cost while meeting the speed and flexibility InnovateHub requires.
  • Design and implement Azure resource architectures (App Services, Functions, Cosmos DB, AI Services, Key Vault, networking) that support our AI product portfolio at scale

Product & Operational Health Reporting

  • Build and own product and operational health dashboards using data sources such as Azure Monitor, Application Insights, and Log Analytics-giving the team and leadership clear visibility into system reliability, performance, and usage.
  • Define and track SLIs/SLOs for InnovateHub products, establishing alerting strategies and incident response patterns that keep our services healthy.
  • Translate telemetry and observability data into actionable insights that inform product decisions, capacity planning, and operational improvements.

Developer Enablement & Consultation

  • Serve as the go-to cloud operations resource for InnovateHub developers-providing guidance, reusable templates, and hands-on consultation for infrastructure and deployment needs.
  • Create and maintain infrastructure templates, CI/CD pipeline patterns, and deployment runbooks that accelerate developer self-service and reduce friction.
  • Partner with developers during pair programming rotations to embed infrastructure best practices into the development workflow, including observability instrumentation, secure configuration, and cost optimization.

Cross-Team Collaboration

  • Act as the liaison between InnovateHub and enterprise Infrastructure Operations and Architecture teams, ensuring cloud decisions are coordinated and knowledge flows in both directions.
  • Work within InnovateHub's collaborative model where engineers understand business problems as deeply as technical solutions, partnering closely with product managers, UX, and research.
  • Support cross-portfolio infrastructure needs, enabling other TAA teams to leverage patterns and platforms built by InnovateHub.

Requirements:

Technical Foundation:

  • 5+ years building and operating cloud infrastructure (Azure strongly preferred)
  • 2+ years hands-on experience with Terraform (or equivalent IaC tools) in production environments
  • Strong proficiency with Azure PaaS services: App Services, Functions, Cosmos DB, Key Vault, Virtual Networks, Application Gateway, and Azure AI Services
  • Deep experience with Azure Monitor, Application Insights, Log Analytics, and KQL for observability and health reporting
  • Experience with CI/CD pipelines (Azure DevOps, GitHub Actions) including infrastructure deployment automation
  • Experience with Agile/XP practices including TDD/BDD and pair programming
  • Proficiency with AI coding tools (GitHub Copilot, Cursor, or similar) and regular use of GenAI utilities for development workflow

Technical Project Leadership:

  • 3+ years leading infrastructure or platform engineering initiatives from design through production operation
  • Experience working in startup-like environments or innovation teams
  • Comfort working in collaborative, fast-paced Agile environments with weekly sprints and blurred (but aligned) role boundaries

Infrastructure & Operations Experience:

  • Working knowledge of infrastructure security practices: network segmentation, managed identities, RBAC, secrets management, and compliance controls (SOC 2, IRS 7216 a plus)
  • Experience defining SLIs/SLOs and building operational dashboards and alerting strategies
  • Understanding of cost management and FinOps principles for Azure environments

Communication Skills:

Ability to explain infrastructure concepts to product-focused developers and non-technical stakeholders. Experience creating documentation, templates, and runbooks that enable self-service across teams.

Preferred Qualifications:

  • Microsoft Azure AZ-104 (Azure Administrator) or AZ-305 (Azure Solutions Architect) certification is highly desired - our team values demonstrated Azure expertise and AI-102 certification is also a plus
  • Experience with Azure Landing Zones, hub-spoke network topologies, or enterprise-scale Azure architectures
  • Background in regulated or compliance-driven environments, particularly financial services or tax/accounting software
  • Experience with containerization (Docker, AKS) and service mesh patterns
  • Familiarity with AI/ML infrastructure needs: model serving, vector database operations, and RAG system infrastructure
  • Experience with platform engineering, developer experience (DevEx) tooling, or internal developer platforms

We encourage applications from candidates with diverse backgrounds who have strong infrastructure skills, project leadership experience, and can adapt quickly to new challenges in a customer-focused, innovation-driven environment.

Our Culture:
At Wolters Kluwer, our core values-Focus on Customer Success, Make it Better, Aim High and Deliver, and Win as a Team-guide everything we do. We are committed to driving success for our customers by delivering innovative solutions that exceed expectations. We continually strive to improve our processes and products, aiming for excellence in all our efforts. Collaboration and teamwork are central to our culture, enabling us to achieve great results together.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$116,400.00 - $204,100.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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