Data Analyst

Data Scientist / Data Analyst Programmer

Learn more about the general tasks related to this opportunity below, as well as required skills.

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. xwzovoh
• 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.