Hybrid Data Service Analyst

Posted 2 hours ago

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About the role

  • Data Services Integration Engineer automating data workflows using Microsoft Power Platform tools. Integrating various systems and establishing data governance policies for operational excellence.

Responsibilities

  • Automate data workflows using Power Platform tools (particularly Power Automate)
  • Integrate various systems (ERP, CRM, Warehouse) eliminating manual processes
  • Establish governance policies and maintain thorough technical documentation (for ETL processes, sources, and definitions)
  • Lead development and integration of business-critical applications using Microsoft Power Platform
  • Design data models, workflows, and integrations with external systems using APIs and custom connectors
  • Build and manage Power Automate flows to automate data movement, transformation, and notifications across systems
  • Connect and orchestrate data pipelines between on-premises SQL databases and cloud services using Azure Data Factory (ADF) and Power Automate connectors
  • Validate and monitor automated processes to ensure accuracy and reliability
  • Deliver test migrations and integrations, manage issue logs and lead issue review meetings with internal and external stakeholders
  • Support go-live activities by ensuring data readiness, flow reliability, and access control.

Requirements

  • Proven experience developing with Microsoft Power Platform (Dynamics 365, Power Apps, Power Automate, Dataverse)
  • Strong understanding of data integration and API connectivity across multiple business systems (preferably legal software)
  • Strong proficiency in SQL, Azure Data Factory, Power Automate
  • Knowledge of PowerShell, JSON, SSIS, Azure Service Bus, Rest API’s
  • Experience in operating in a client facing role
  • Strong analytical mindset with a passion for process improvement through automation.
  • Excellent communication skills, including written and spoken English, for cross-functional collaboration
  • Ability to work independently or as part of a team and manage multiple project tasks simultaneously
  • Excellent planning and organizational skills.
  • Basic programming capabilities in C#, .Net, Javascript and Python would desirable but not essential.

Benefits

  • Health insurance
  • Retirement savings plans
  • Generous paid time off
  • Supportive work-life balance

Job title

Data Service Analyst

Job type

Experience level

Mid levelSenior

Salary

$55,000 - $70,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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