Designs, builds, and supports IVR and API integrations for enterprise contact center environments.
Compensation
CA$40.00 - CA$50.00 / hour
Responsibilities
Analyze customer contact center configurations, data extracts, and call flows to plan for the API integration
Gather and document customer requirements for API integrations, evaluate system readiness, and define scope, deliverables, and API integration timelines.
Build integrations between Intermedia contact center platform and third-party services using APIs, including CRM, billing, and payment platforms.
Read API documentation and design authentication, requests, data mappings, retries, and error handling; validate authentication and connectivity using tools such as Postman.
Create and maintain backend services, webhooks, middleware, and automation workflows that support customer implementations and ongoing data exchange.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Telecommunications, or a related field
The Senior Data Analyst supports the management, analysis, quality control, visualization, and delivery of data for large facility condition assessment, asset management, and capital planning programs.
Responsibilities
Manage, organize, analyze, and validate large datasets associated with facilities, building systems, assets, deficiencies, costs, lifecycle information, and capital improvement needs.
Develop and maintain data structures, data models, relationships, naming conventions, and standardized data requirements for asset management projects.
Perform data cleaning, transformation, reconciliation, and quality control to identify missing, duplicate, inconsistent, or anomalous information.
Develop automated and repeatable processes for data validation, analysis, transformation, and reporting.
Use SQL and other analytical tools to query, manipulate, combine, and analyze data from multiple sources.
Seeking a finance payments analyst to support Global Trade Disbursements processes for indirect payments, identifying areas for continuous improvement within the Purchase-to-Pay (P2P) landscape.
Compensation
On-site; Austin, Texas, United States
Responsibilities
Ensure the smooth and efficient flow of payments across Apple’s global operations
Support Global Trade Disbursements processes for indirect payments
Identify data tools to drive process improvement, automation, and reporting
Drive impactful initiatives across the Purchase-to-Pay (P2P) landscape
Data analyst focused on supply chain analytics, supporting large-scale transformation initiatives through advanced data analysis, dashboards, and actionable insights.
Responsibilities
Collect, integrate, analyze, and interpret large and complex datasets
Translate business requirements into analytical solutions, dashboards, KPIs, and data-driven recommendations
Perform root-cause, variance, and exploratory analysis
Develop analytical models, metrics, and data-driven recommendations
Perform data profiling, validation, reconciliation, and quality analysis
Requirements
Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Supply Chain, Operations, Business Analytics, or a related discipline
Data Engineers in this role support the design, implementation, and maintenance of data pipelines and processing jobs to enable secure, scalable, and high-quality technology solutions.
Compensation
For roles located in the US, the estimated salary range for this position is $101.800,00 to $ 158.100,00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.
Responsibilities
Attend meetings with stakeholders to learn about requirements and understand data ecosystem, security, privacy, and retention needs.
Interpret technical requirements and execute component designs provided by senior engineers.
Create and implement code across assigned components, applying coding patterns, guidelines, and best practices.
Participate in code review processes, gather feedback, and apply changes to owned aspects of code or design.
Conduct unit testing and support testing code for one component in a common testing environment.