At a Glance
- Tasks: Analyse data, develop SQL scripts, and create insightful reports.
- Company: Join a growing analytics team in a supportive environment.
- Benefits: Hybrid working, flexible culture, and opportunities for innovation.
- Other info: Collaborative team with excellent career growth potential.
- Why this job: Tackle complex data challenges and make a real impact.
- Qualifications: Strong SQL skills and experience with ETL processes required.
The predicted salary is between 30000 - 40000 € per year.
Location: Lisburn, Northern Ireland (Hybrid flexibility available)
Eligibility: UK work authorisation required (no sponsorship available)
We're working with a growing analytics and data team looking for a Data Analyst with strong SQL and data integration experience to support a range of high-volume, data-driven operational projects. This role offers a strong mix of SQL development, ETL, automation, reporting, and process improvement work, with the opportunity to contribute to technical innovation and smarter ways of handling data across the business.
Why join?
- Varied role combining SQL, ETL, reporting, and automation
- Opportunity to work on complex, high-volume data challenges
- Supportive and collaborative team environment
- Hybrid working and flexible culture
What you'll be doing:
- Building and maintaining SSIS data integration and ETL processes
- Writing SQL scripts for data cleansing, reconciliation, reporting, and automation
- Integrating data from XML, Excel, flat files, and external systems
- Developing dashboards and MI reporting using SSRS, Tableau, or Power BI
- Supporting automated document handling and data quality initiatives
- Working closely with operational and client-facing teams on data-related projects
- Contributing to process improvements and technical innovation initiatives
What you'll bring:
- Strong SQL/T-SQL development skills
- Experience with SSIS and ETL/data integration processes
- Experience working with relational databases
- Exposure to reporting tools such as SSRS, Tableau, or Power BI
- Strong analytical and problem-solving skills
- Good communication skills and attention to detail
Nice to have:
- Experience with Python, R, C# and Cloud platforms
- Exposure to NLP, or AI-driven data extraction
- Experience within financial services or regulated environments
Interested? If you enjoy solving complex data challenges across SQL, automation, reporting, and integration work, get in touch with Justin Donaldson for a confidential conversation.
Data Analyst (SQL & data Integration) TLNT1_NI in Lisburn employer: IrishJobs
Join a dynamic and innovative analytics team in Lisburn, Northern Ireland, where your expertise as a Data Analyst will be valued and nurtured. With a strong focus on collaboration and flexibility, you'll enjoy a supportive work culture that encourages professional growth through diverse projects and technical innovation. Benefit from hybrid working options while tackling complex data challenges in a role that promises both variety and impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (SQL & data Integration) TLNT1_NI in Lisburn
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Brush up on your SQL skills and be ready to showcase your problem-solving abilities with real-world examples. We want to see how you tackle data challenges!
✨Tip Number 3
Show off your projects! Create a portfolio that highlights your SQL scripts, ETL processes, and any dashboards you've developed. This gives us a tangible sense of your skills and creativity.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're genuinely interested in joining our team and tackling those high-volume data challenges together.
We think you need these skills to ace Data Analyst (SQL & data Integration) TLNT1_NI in Lisburn
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL and data integration skills. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Analyst position and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills:Since this role involves a lot of SQL and ETL work, make sure to mention specific tools and technologies you’ve used. We love seeing practical examples of your problem-solving skills in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at IrishJobs
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with writing SQL scripts, as well as any specific challenges you've faced and how you overcame them. Practising common SQL queries can help you feel more confident.
✨Showcase Your ETL Experience
Since this role involves building and maintaining SSIS data integration and ETL processes, be ready to talk about your hands-on experience with these tools. Prepare examples of past projects where you successfully implemented ETL processes and how they improved data handling.
✨Demonstrate Your Analytical Skills
The job requires strong analytical and problem-solving skills, so think of specific instances where you've tackled complex data challenges. Be ready to explain your thought process and the steps you took to arrive at a solution, showcasing your critical thinking abilities.
✨Familiarise Yourself with Reporting Tools
As the role involves developing dashboards and MI reporting using tools like SSRS, Tableau, or Power BI, make sure you have a good understanding of these platforms. If possible, prepare a portfolio of your previous work or examples of reports you've created to demonstrate your capabilities.
