CompassX Group

Business Analyst

• Data Collection and Cleansing: Collect and extract data from diverse sources such as Excel, SharePoint Lists, and shadow IT systems to support the SAM module and AI training pools.
• Source Data Validation: Apply quality assurance by validating datasets with ServiceNow import/export and analysis tools for accuracy, consistency, and completeness before platform ingestion.
• Shadow IT Data Capture: Identify, document, and collect data from shadow IT to ensure a full inventory for Application Portfolio Management and SAM.
• Application Cataloging: Define necessary metadata and attribute data to support initial application cataloging within the SAM module.
• Requirements Gathering: Lead targeted sessions with IT, Finance, and Asset Management stakeholders to establish business logic, compliance rules, and reporting needs for ServiceNow SAM.
• AI Ticketing Data Specification: Specify requirements for structure, volume, and quality of historical ticket data to train and validate the AI Ticketing Agent model.
• Data Flow and Mapping: Develop source-to-target mapping and transformation logic for data integration, ensuring new ServiceNow modules align with master data definitions.
• Platform Stabilization: Support the initial build-out and stabilization of new data platforms and transition processes to the internal team upon completion.
• Knowledge Transfer: Document and transfer all processes, data mappings, and quality checks to the long-term operational team.

Data & Business Analyst, Contractor

QA Engineer

• Partner with Product Owners and Developers to define release testing strategies and coverage.
• Maintain a library of manual and automated test scripts and help developers align on required unit tests.
• Participate in project meetings, daily scrums, and product planning sessions.
• Execute manual and automated tests for Android tablet POS systems and related restaurant applications.
• Perform hands-on testing with hardware that mirrors production restaurant environments.
• Track defects from identification through production release and report on test results.
• Manage and maintain the Louisville-based testing lab and fleet of test devices.
• Support security testing by validating PEN and other security findings.
• Maintain and troubleshoot lab equipment including tablets, switches, routers, monitors, and PCs.
• Set up, repair, and replace hardware as needed to support ongoing testing and development.
• Serve as an escalation point for the customer helpdesk.
• Certify restaurant hardware and act as a subject matter expert for system integrations across the environment.

Quality Assurance Engineer – 6 Month Contract

Product Manager

• Own the full product lifecycle, from strategy and roadmap to release and iteration.
• Collaborate closely with engineering, operations, and brand stakeholders to deliver impactful software solutions.
• Translate strategy into actionable user stories and release plans, balancing scalability with customization.
• Monitor product KPIs and analytics to measure success and inform improvements.
• Lead cross-functional alignment through planning sessions, product reviews, and go-to-market coordination.
• Use customer insights and data to ensure solutions are user-centric and operationally sound.

Product Manager, Contract – 6 Month

Data Engineer

• Design and implement **data models (star, snowflake, and semantic)** to support analytics and Customer 360 use cases
• Architect **end-to-end pipelines and transformation frameworks** leveraging dbt and Python
• Define and maintain **standards for self-service analytics**, enabling business users through governed and reusable data assets
• Partner with engineering, analytics, and business teams to align on **data definitions, governance, and architecture best practices**
• Build and optimize **data marts and semantic layers** for downstream BI tools such as Power BI or Looker
• Guide the design and delivery of a **Customer 360 / Member 360 platform**, integrating multiple data sources to deliver unified insights
• Support **cloud modernization efforts** across Snowflake and BigQuery environments
• Apply **DevOps and CI/CD practices** using Git and modern orchestration frameworks (Airflow, Dagster, etc.)

Data Architect – Customer 360

• Design and implement **data models** (star schemas, fact and dimension tables, and semantic models) to support analytics and reporting in **Power BI**
• Build and optimize **data architecture** within **Amazon Redshift**, ensuring scalability, performance, and data consistency
• Develop and maintain **data dictionaries, lineage, and documentation** for key business domains
• Partner with data engineers, analysts, and business stakeholders to translate requirements into effective data models
• Define and enforce **modeling standards and best practices**, ensuring consistency across projects
• Work with **Salesforce** and **Veeva** data sources to model key life sciences datasets (e.g., sales, marketing, CRM, and field activities)
• Collaborate with global teams to ensure model alignment and data interoperability across business units

Data Architect – Data Modeling

Backend Engineer

• Design, build, and maintain ETL/ELT pipelines using Python, integrating data from APIs, flat files, and relational systems into Snowflake
• Develop and optimize data models and transformations (dbt) to support reporting and analytical use cases
• Implement data validation, testing, and quality checks to ensure accuracy and reliability across datasets
• Manage data workflows, orchestration, and automation using modern tools and practices (e.g., Airflow, GitHub Actions)
• Support downstream users and analysts by preparing clean, well-structured datasets for Power BI dashboards and reports
• Contribute to the development and management of containerized environments using Docker and Linux
• Collaborate with BI developers, analysts, and business stakeholders to deliver end-to-end data solutions
• Help define and promote data engineering best practices, frameworks, and standards within a growing data environment

Senior Data Engineer – Python, Snowflake

Engineer

• Collaborate with the Engineering, Quality Engineering, Support, Product Management and DevOps teams to review and document requirements, execute performance tests and troubleshoot/resolve (blocking) issues.
• Design and execute different performance test strategies depending on unique project purposes and requirements
• Analyze test results and establish reliable mathematic models for response time, throughput, SLA and other application performance metrics
• Grow and evolve our performance tooling and testing processes to ensure tests are customer-like and representative of real-world scenarios
• Identify existing bottlenecks in the hardware and software platform, application code stack, network and disk IO
• Measure and document reliable predictions on potential bottlenecks as computing platforms and workloads change
• Communicate test results and analysis to Engineering, Operations, PM, Network and DB teams
• Develop unique performance testing tools, analysis methodologies, as well as capacity planning
• Support the Engineering teams with tools and frameworks to enhance system performance, scalability and stability.
• Help and guide other QE teams to develop their own performance test plans and scripts
• Co-ordinate multiple performance test projects within the limited test resources; provide expert opinions in understanding and analyzing their test results
• Identify gaps, issues, or other areas of concern, and proactively define, propose, and enact process and workflow improvements to mitigate such issues.

Performance Engineer – 6 Month Contract

Business Operations

• Engage with stakeholders across business units to understand current-state processes and pain points.
• Collaborate with teams to design future-state workflows optimized with AI capabilities.
• Translate business needs into clear, actionable IT requirements and solution briefs.
• Facilitate AI use-case discovery and prioritization aligned with business goals.
• Guide change management and user adoption strategies for AI-enabled solutions.
• Evaluate off-the-shelf AI tools versus custom builds and advise on implementation approach.
• Partner closely with IT, external vendors, and business units to support solution design and delivery.
• Serve as a bridge between business stakeholders and technical teams to implement AI-enabled solutions and ensure successful adoption.

Manager – AI and Business Process Transformation

Manager

• Conduct business process analysis and design future-state processes for Capital Markets operations, trading, and investment management functions.
• Lead workshops with stakeholders across trading, operations, compliance, and portfolio management to align requirements and translate them into actionable solutions.
• Drive process optimization and operating model redesign to improve efficiency, effectiveness, and regulatory compliance.
• Guide clients from ideation through implementation of new systems, reporting tools, or operational workflows, with a focus on user adoption and sustainable change.
• Partner with technology teams to ensure business needs are reflected in system design and implementation.
• Support change management efforts, including training, communications, and adoption strategies, for complex financial products and processes.

Manager – Business Transformation, Capital Markets

Full-stack Engineer

• Develops software systems or applications for software enhancements and new products including cloud-based or internet-related tools.
• Codes from scratch to build end-user applications and platform/utility software.
• Conduct requirements gathering and analysis to understand domain, interfaces, and overall software characteristics.
• Use programming, scripting, and/or database languages to write software code.
• Support evolution activities by correcting programming errors, responding to scope changes, and coding software enhancements.
• Apply knowledge of software development best practices, including coding standards, code reviews, source control management, build processes, testing, and operations.