At a Glance
- Tasks: Analyse data, build ETL processes, and create insightful dashboards.
- Company: Join a growing analytics team in a supportive, hybrid work environment.
- Benefits: Flexible working hours, collaborative culture, and opportunities for technical innovation.
- Other info: Great career growth potential in a dynamic, data-driven environment.
- Why this job: Tackle complex data challenges and make a real impact on business operations.
- Qualifications: Strong SQL skills and experience with data integration tools 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.
- 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 SQL Python Tableau 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 flexibility 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 operational excellence. Enjoy a varied role that not only enhances your technical skills but also fosters a sense of community and shared success within the team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst SQL Python Tableau 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, ETL processes, and any dashboards you've built. 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 challenges and how you've tackled them. Be ready to discuss your experience with SQL, data integration, and reporting tools like Tableau. Confidence is key!
✨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 SQL Python Tableau 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 excited about the Data Analyst position and how your skills can contribute to our team. Keep it concise but impactful!
Showcase Your Technical Skills:Since we’re looking for someone with strong SQL and data integration experience, make sure to mention any specific tools or technologies you’ve worked with, like SSIS or Tableau. We love seeing practical examples!
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 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 challenges you've faced and how you overcame them.
✨Showcase Your ETL Experience
Since this role involves building and maintaining SSIS data integration processes, be ready to talk about your hands-on experience with ETL. Prepare examples of projects where you've successfully implemented ETL processes and the impact they had on data quality.
✨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. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.
✨Familiarise Yourself with Reporting Tools
As you'll be developing dashboards and MI reporting using tools like Tableau or Power BI, make sure you can discuss your experience with these platforms. Bring along examples of dashboards you've created and be ready to explain your design choices and the insights they provided.
