At a Glance
- Tasks: Analyse data, build dashboards, and automate processes using SQL and ETL.
- Company: Dynamic analytics team in a growing tech environment.
- Benefits: Hybrid working, flexible culture, and opportunities for professional growth.
- Other info: Collaborative atmosphere with potential for career advancement.
- Why this job: Tackle complex data challenges and drive innovation in a supportive team.
- Qualifications: Strong SQL skills and experience with data integration tools.
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.
- 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
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 - Tableau, Power BI, SQL in Lisburn employer: Ocho
Join a dynamic and growing analytics team in Lisburn, Northern Ireland, where you will thrive in a supportive and collaborative work culture. With hybrid working options and a focus on employee growth, this role as a Data Analyst offers the chance to tackle complex data challenges while contributing to innovative solutions that drive the business forward. Enjoy a flexible environment that values your contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Tableau, Power BI, SQL 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
Show off your skills! Create a portfolio showcasing your SQL scripts, dashboards, and any data projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your thought process when tackling data challenges, as this will demonstrate your analytical skills and problem-solving abilities.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Data Analyst - Tableau, Power BI, SQL in Lisburn
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL, ETL, and reporting 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 passionate about data analysis and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Technical Skills:Don’t forget to mention your experience with tools like Tableau, Power BI, and SSIS. We’re looking for someone who can hit the ground running, so highlight any specific projects where you’ve used these tools effectively.
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 – just a few clicks and you’re done!
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 for data cleansing and reporting, as well as any complex queries you've tackled in the past.
✨Showcase Your ETL Expertise
Since this role involves building and maintaining SSIS data integration processes, be ready to talk about your experience with ETL. Prepare examples of how you've improved data workflows or automated processes in previous roles.
✨Familiarise Yourself with Reporting Tools
Get comfortable discussing your experience with reporting tools like Tableau, Power BI, or SSRS. Bring along examples of dashboards or reports you've created, and be ready to explain the impact they had on decision-making.
✨Communicate Clearly and Confidently
Good communication is key in this role, especially when working with operational and client-facing teams. Practice explaining complex data concepts in simple terms, and be prepared to demonstrate your analytical problem-solving skills during the interview.
