About the role
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.
What's 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, we'd love to hear from you.
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