At a Glance
- Tasks: Analyse data, develop SQL scripts, and create insightful reports.
- Company: Join a growing analytics team in a supportive, hybrid work environment.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Tackle complex data challenges and drive innovation in data handling.
- 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) JBLE1_NI in Lisburn employer: Ocho
Join a dynamic and growing analytics team in Lisburn, Northern Ireland, where you will thrive in a supportive and collaborative environment. With a strong focus on employee growth, this role offers the chance to tackle complex data challenges while enjoying hybrid working flexibility and a culture that values innovation and process improvement. Be part of a company that not only invests in your professional development but also encourages a balanced work-life approach.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (SQL & data Integration) JBLE1_NI in Lisburn
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your work! Create a portfolio of projects that highlight your SQL, ETL, and reporting skills. This could be anything from personal projects to contributions to open-source. It’s a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Data Analyst (SQL & data Integration) JBLE1_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 at StudySmarter.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Ocho
✨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, data cleansing, and reporting. Practising common SQL queries and understanding how to optimise them can really set you apart.
✨Showcase Your ETL Experience
Since this role involves building and maintaining SSIS data integration and ETL processes, be ready to talk about your past projects. Highlight specific challenges you faced and how you overcame them, as well as any automation techniques you've implemented.
✨Familiarise Yourself with Reporting Tools
The job mentions tools like SSRS, Tableau, and Power BI. If you have experience with these, prepare to discuss how you've used them in previous roles. If you're less familiar, consider doing a quick tutorial or two to get a basic understanding of their functionalities.
✨Communicate Clearly and Confidently
Good communication skills are essential for this role, especially when working with operational and client-facing teams. Practice explaining complex data concepts in simple terms, and be ready to demonstrate your analytical thinking during the interview.
