Data Scientist / Data Analyst Programmer
Location: Larne, Northern Ireland
Rate: £334 per day (Inside IR35)
Contract: 12 Months (Potential Extension)
Hours: 37.5 hours per week | Full-Time | On-Site
We are seeking an experienced Data Scientist / Data Analyst Programmer to join a high-performing team supporting data, analytics, automation, and business intelligence initiatives within a leading manufacturing environment.
Key Responsibilities
Data Engineering & Management
* Develop and maintain ETL/ELT pipelines using Python, SQL, and Snowflake.
* Cleanse, validate, transform, and manage enterprise data.
* Support scheduled data loads and data quality processes.
* Maintain data governance standards and technical documentation.
Analytics & Reporting
* Create and maintain datasets for reporting and business analysis.
* Support KPI development and analytical modelling activities.
* Investigate and resolve data and reporting issues.
* Deliver insights that support business decision-making.
Automation & Application Development
* Develop dashboards and workflows using Power BI, Power Apps, and Power Automate.
* Support Salesforce CRM data integration activities.
* Identify and implement opportunities to improve efficiency through automation.
Required Skills & Experience
* 3–5+ years experience in data science, analytics, data engineering, automation, or a related discipline.
* Strong Python programming skills.
* Hands-on experience with SQL and Snowflake.
* Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate).
* Experience working with CRM data, ideally Salesforce.
* Good understanding of data modelling, data quality, and analytics principles.
* Strong problem-solving and analytical skills.
* Excellent communication and stakeholder management abilities.
Whats on Offer?
* £334 per day Inside IR35.
* Initial 12-month contract with potential for extension.
* Opportunity to work on business-critical data and analytics projects.
* Exposure to a wide range of modern data, reporting, and automation technologies.
* Collaborative team environment with opportunities to make an immediate impact.
* Flexible start and finish times within a 37.5-hour working week.
If you are a proactive data professional with a passion for delivering high-quality analytics and automation solutions, wed love to hear from you.