At a Glance
- Tasks: Analyse data, automate processes, and create insightful reports using SQL and Power BI.
- Company: Join a growing analytics team in a supportive and collaborative environment.
- Benefits: Enjoy hybrid working flexibility and opportunities for professional growth.
- Other info: Ideal for those passionate about data and looking to make an impact.
- 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.
- 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 - Python, SQL, Power BI 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 - Python, SQL, Power BI in Lisburn
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL scripts, ETL processes, and any dashboards you've developed. 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 practical tests. We recommend practising SQL queries and discussing your past projects to demonstrate your problem-solving skills and technical know-how.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst - Python, SQL, Power BI 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 Power BI, SSIS, and any programming languages you know. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
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 for data cleansing and reporting, as well as any complex queries you've tackled. Practising common SQL problems can really help you feel confident.
✨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 solutions 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 used these abilities. Whether it's a complex data challenge or a process improvement initiative, having concrete examples will show your potential employer that you're the right fit.
✨Familiarise Yourself with Reporting Tools
As you'll be developing dashboards and reports using tools like Power BI or Tableau, make sure you know your way around these platforms. Bring along examples of dashboards you've created and be ready to discuss how you approached the design and data visualisation aspects.
