Lead Analyst, Data & Analytics (Azure Databricks)

Leads the design and delivery of scalable analytics solutions using Azure Databricks, Power BI, and related platforms. Transforms and validates structured and unstructured data, applies statistical techniques, develops dashboards and analytical models, and implements data governance and quality processes. Partners with business and technology stakeholders to translate requirements into technical solutions, provides peer guidance, monitors data trends, and communicates actionable insights to technical and non-technical audiences., The Lead Data Analyst plays a critical role in designing, implementing, and optimizing advanced data analytics solutions to support strategic and operational decision-making. This role partners closely with business, technology, and leadership teams to translate complex data into actionable insights. The position requires strong technical expertise, analytical thinking, and the ability to lead by influence while remaining hands-on with data architecture, analytics, and reporting solutions.

This role is hands-on and requires close collaboration with business and technology teams. The Lead Data Analyst is expected to balance strategic thinking with detailed execution, contribute to architectural decisions, and ensure analytics solutions align with enterprise standards and long-term business objectives., * Design, develop, and maintain scalable data analytics solutions using Azure Databricks and related enterprise platforms.

• Lead data compilation, transformation, integration, and validation from multiple structured and unstructured data sources.
• Apply advanced statistical, quantitative, and analytical techniques to identify trends, patterns, and opportunities.
• Develop dashboards, reports, and analytical models using Power BI and Databricks AI/BI dashboards.
• Define and implement data standards, best practices, and governance processes to ensure data quality and consistency.
• Collaborate with cross-functional stakeholders to gather requirements and translate business needs into technical solutions.
• Establish processes for monitoring, tracking, and trending data across systems and applications.
• Provide peer review and technical guidance on analytics, programming logic, and data modeling.
• Support leadership and team members with ad-hoc analysis and strategic insights.
• Communicate findings clearly to technical and non-technical audiences., Lead customer implementations of SOPHiA GENETICS genomic analysis solutions, from planning and sample selection through configuration, training, adoption, and issue resolution. Manage MaxCare Program schedules, timelines, sampling strategies, Statements of Work, technical setup, and cross-functional delivery. Translate laboratory, bioinformatics, data, and clinical regulatory requirements into practical solutions while building trusted customer relationships. The field-based US role includes approximately 30% travel. Top Skills: BioinformaticsCustom ReportingFederated Sso AuthenticationLibrary PreparationNext-Generation SequencingSophia Ddm Platform PNC Bank

Software Engineer

2 Hours Ago Remote or Hybrid USA 75K-150K Annually Junior 75K-150K Annually Junior Machine Learning * Payments * Security * Software * Financial Services Develops, tests, deploys, maintains, and debugs software across the full project lifecycle. Translates business requirements into technical designs, supports production systems, documents solutions, estimates development tasks, collaborates with teammates, and mentors newer developers. The role requires application architecture, SDLC, testing, troubleshooting, and maintenance experience using Java, .NET, and/or Delphi, with Delphi preferred. Top Skills: .NetDelphiJava PNC Bank

Senior Software Engineer

2 Hours Ago Remote or Hybrid USA Senior level Senior level Machine Learning * Payments * Security * Software * Financial Services Designs, develops, tests, deploys, maintains, and debugs software solutions. Leads complex technical initiatives, Java microservices and API integration, OpenShift deployments, server and database administration, release management, production support, vulnerability remediation, incident resolution, and vendor coordination. Supports remote deposit platforms while managing application resiliency, security compliance, documentation, and stakeholder communication. Top Skills: AgileAPIsCandescent Remote Deposit/CaptureCloud-Native ArchitecturesConnect:DirectContainerizationDevOpsJavaLinuxMicroservicesMicrosoft Sql ServerOpenshift Container PlatformPowershellPythonSdlcShell ScriptingWindows Server

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• Experience with Azure Databricks, Power BI, GitHub, DevOps, and CI/CD pipelines.
• Proficiency in PySpark, Python, SQL, and Scala for data engineering, automation, and analytics.
• Expertise in data modeling, data mapping, and large-scale data processing.
• Experience developing enterprise-grade dashboards and reporting solutions.
• Knowledge of cloud-based data architectures and modern analytics platforms.

Business and Domain Knowledge

• Strong understanding of healthcare data domains, data mapping, and regulatory considerations.
• Ability to translate business problems into data-driven solutions.
• Experience working with stakeholders across multiple organizational levels., * Bachelor’s degree preferred.
• 7-9 years of progressive experience in data analytics, data engineering, or related roles.
• Demonstrated experience delivering analytics solutions from concept through production., * Experience working in large enterprise data environments.
• Familiarity with healthcare analytics and reporting standards.
• Strong problem-solving skills and attention to detail.
• Excellent written and verbal communication skills.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.