3 of 3 Salesforce CRM Jobs in Larne

Power Platform (Power BI, Power Apps, Power Automate). Do you have experience in data engineering, ETL/ELT pipelines, data cleansing, data modelling, CRM data (ideally Salesforce) , and supporting analytics across a business? Are you confident developing automated workflows, dashboards, and curated datasets to support reporting … development and analytical models Troubleshooting data and reporting issues Developing dashboards and workflows using Power BI, Power Apps, Power Automate Supporting Salesforce CRM data integration Identifying and implementing automation opportunities Understanding data modelling, analytics, and data quality principles 35+ years experience in data science, analytics, data engineering ...

capability gaps and maintain delivery momentum. Key Responsibilities Data Engineering: Build and maintain ETL/ELT pipelines using Python, SQL, and Snowflake . Automation & CRM: Create dashboards and automated workflows via Microsoft Power Platform (Power BI, Power Apps, Power Automate) and integrate Salesforce data. Analytics: Provide curated … analytics, data engineering, or automation roles. Technical Skills: Strong proficiency in Python, SQL, Snowflake , and Microsoft Power Platform . Experience with Salesforce CRM data is highly preferred. Soft Skills: A proactive self-starter with strong stakeholder management and an ownership mindset. Education: A relevant degree is preferred. ...

Troubleshoot data and reporting issues. Applications, Automation & Integration: Develop dashboards and workflows using Power BI, Power Apps, and Power Automate. Support Salesforce CRM data integration. Identify and implement automation opportunities. Requirements: Experience in data science, analytics, data engineering, or automation roles. Degree in Computer Science, Engineering, Data … Science, or similar Strong proficiency in Python. Hands-on experience with Snowflake and SQL. Experience with Microsoft Power Platforms Experience working with CRM data, preferably Salesforce. Understanding of data modelling, analytics, and data quality principles. Use of internal procurement/vendor management systems. ...