SAP Data Analyst – Service Management responsible for governing, converting, maintaining, and improving service master and transactional data within SAP S/4HANA to support service operations and decision-making.
Compensation
Competitive salary based on qualifications.
Responsibilities
Develop and implement a robust master data governance framework
Define and enforce master data policies and procedures
Lead initiatives to improve data quality
Govern, maintain, and improve service master data in SAP S/4HANA
Analyze relationships among customers, assets, products, contracts, warranties, and service organizations
Requirements
Bachelor’s degree in Information Systems, Business Administration, or a related field
Master’s degree preferred
Nice to have: Certification in SAP Master Data Governance
Nice to have: Experience in leading data migration projects for SAP implementations
Nice to have: Knowledge of service industry processes and best practices
Epic Business Intelligence Developers create analytics content for end users and third parties who require Epic data, configuring and testing content for applications like Reporting Workbench, SlicerDicer, and Radar dashboards.
As a SuccessFactors Specialist, you play a key role in delivering the HRIS transformation roadmap, transitioning from SAP HCM to SuccessFactors Employee Central and maintaining specific SuccessFactors modules.
Responsibilities
Build strong partnerships with business stakeholders to understand needs and identify opportunities for improvement
Gather business requirements and translate them into functional analysis
Recommend best practices and keep functional documentation up to date
Configure and customize SuccessFactors Employee Central and related modules (LMS, ONB 2.0, REC, RMK, GMPM, and People Analytics)
Monitor system setup, testing, and validation
Requirements
Bachelor's degree in IT or IT-related or equivalent relevant professional experience
Nice to have: SAP HCM to SuccessFactors migration projects
Lead and execute end-to-end SAP SuccessFactors Employee Central implementations
Configure and support Employee Central, Time Management, and Global Benefits modules based on business requirements
Conduct requirement gathering workshops and prepare solution design documentation
Configure Foundation Objects, MDF Objects, Business Rules, Workflows, Event Reasons, RBP, Position Management, and Employee Data Models
Configure Time Management components including Time Off, Work Schedules, Holiday Calendars, Time Profiles, Leave of Absence, and Time Account Processing
Requirements
Nice to have: SAP SuccessFactors Employee Central Certification
Nice to have: SAP SuccessFactors Time Management Certification
Nice to have: Global implementations across multiple countries
Help us continue to make the best use of the huge amount of player data we have, improving our games and helping our teams make better decisions.
Responsibilities
Collaborate with product teams and developers on in-game tracking, backend data collection and data quality, ensuring reliable data flows from our games through to analytics
Design, maintain and improve data pipelines and scalable data models using SQL and dbt
Act as the link between product teams, game developers and data engineers to ensure data requirements are clearly understood and implemented
Explore and apply AI tools to improve workflows, automate processes and make our data analysis more efficient
Work with game teams to analyse player behaviour, optimise game economies and identify opportunities to improve engagement, retention and monetisation
Requirements
Bachelor's or Master's degree in Engineering Mathematics, Physics, Computer Science or equivalent
Design, develop, test, and support data pipelines, analytics, and business intelligence solutions using Microsoft Fabric, Power BI, and related Microsoft technologies.
Compensation
This is an in-person role requiring 3 days per week in our Guelph location. This position offers a minimum starting salary of $85,000.00, with potential compensation enhancements based on applicable experience and qualifications.
Responsibilities
Design, build, test, deploy and support data pipelines and transformations using Microsoft Fabric and approved cloud-native patterns.
Develop Fabric lakehouse and warehouse solutions that integrate data from D365, operational applications, external services and existing data platforms.
Create reusable, parameterized and supportable ingestion and transformation processes using SQL, notebooks, Dataflows Gen2 and pipelines.
Ensure solutions meet requirements for performance, scalability, reliability, supportability and security.
Design and maintain enterprise semantic models aligned with approved business definitions, security standards and performance expectations.
Requirements
Bachelor's degree or college diploma in Computer Science, Information Systems, Computer Programming, Data Analytics or a related discipline
Nice to have: Microsoft Certified: Fabric Analytics Engineer Associate
Nice to have: Microsoft Certified: Power BI Data Analyst Associate
Nice to have: Azure Data Fundamentals
Senior Software Development Engineer, Loyalty - Full Stack
Design, build, and evolve client-facing experiences and full stack services for global loyalty products, ensuring high availability, scalability, and performance across multiple customer and partner touchpoints.
Compensation
The total cash range for this position in San Jose is $199,000.00 to $278,500.00. Employees in this role have the potential to increase their pay up to $318,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Design, build, and evolve client facing experiences and full stack services for global loyalty products, ensuring high availability, scalability, and performance across multiple customer and partner touchpoints.
Own the design and evolution of embeddable placements that other internal teams integrate into their own surfaces, including versioning, backward compatibility, and safe staged rollout across a wide range of host environments.
Lead end to end system design across the full stack, from low level design and API design to data modeling, with particular depth on browser side architecture such as cross domain communication, sandboxing, script size and performance budgets, and privacy and consent constraints.
Drive technical strategy negotiating clear technical contracts, ownership boundaries, and integration points in situations where the team does not have direct authority over the placement.
Own complex full stack features from technical design through implementation, testing, deployment, and operational support, with a front end leaning bias while remaining equally comfortable owning backend services and data models when needed.
Senior Cloud Infrastructure Development Engineer - Kubernetes
Lead the design and delivery of robust, scalable cloud solutions that enable product teams to ship features faster while maintaining high standards of availability and performance.
Compensation
The total cash range for this position in Chicago is $171,500.00 to $240,000.00. Employees in this role have the potential to increase their pay up to $274,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Architect and evolve secure, scalable platform capabilities across multi-cloud and hybrid environments
Design, implement, and scale orchestration and infrastructure automation solutions using Terraform, KubeFed, and related Kubernetes ecosystem technologies
Configure, implement, and enhance service mesh capabilities, including ingress controller patterns and Istio-based solutions
Drive observability, capacity planning, system and service performance analysis, and environment tuning
Advance continuous delivery practices by automating application and infrastructure deployments, integrating infrastructure as code into CI/CD pipelines
Requirements
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Nice to have: Crossplane
Nice to have: Terragrunt
Nice to have: CertManager
Nice to have: Kubernetes load balancer controllers
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