At a Glance
- Tasks: Analyse data to deliver insights and improve processes in a dynamic environment.
- Company: Join Trust in Soda, a forward-thinking company in Dublin.
- Benefits: Competitive daily rate, flexible work arrangements, and opportunities for professional growth.
- Other info: Enjoy a mix of on-site and remote work with a focus on continuous improvement.
- Why this job: Make an impact with data while working on innovative projects and AI-driven solutions.
- Qualifications: Bachelor's degree or equivalent experience; skills in SQL, Python/R, and data analytics preferred.
The predicted salary is between 30000 - 40000 £ per year.
Location: Dublin, Suffolk, UK, IP23 7
Contract: Trust in Soda / Trinnovo Group
Start date: ASAP
Duration: 12 months
Location: 1 week on site, Dublin - 3 weeks working from home
Rate: €200‑€250 per day
Description:
- Bachelor's Degree in a related field or equivalent practical experience.
- Experience working as a Data Analyst (typically 1‑2 years), ideally within financial services or a data‑rich environment; we will also consider recent graduates with relevant skills or internships.
- Experience with reference data, data management, and data analytics.
- Working knowledge of tools and techniques for analysing and presenting data, such as SQL, Python/R, and Power BI (or similar tools).
- Familiarity with data vendor products (e.g., Bloomberg, Reuters) is beneficial.
- Interest in or exposure to advanced analytics, anomaly detection, or AI‑driven data solutions is an advantage.
The Purpose of Your Role:
In this role, you will balance day‑to‑day data quality and production activities with analytical and project‑based work, with a strong focus on quality and continuous improvement. You will also have the opportunity to contribute to the evolution of our data capabilities, including the use of automation, anomaly detection, and AI techniques to enhance data quality, efficiency, and insight generation.
The Skills You Bring:
- A proactive and curious mindset, with the ability to work both independently and collaboratively.
- Strong investigative and analytical skills, with the ability to quickly understand complex issues and identify patterns or anomalies in data.
- An interest in innovation and continuous process improvement.
- Clear written and verbal communication skills, particularly when explaining complex topics.
- Strong interpersonal skills and the ability to build effective relationships with business partners.
- The ability to manage priorities and deliver against both short‑term deadlines and longer‑term objectives.
The Value You Deliver:
- Deliver high‑quality, accurate, and timely data analysis and insights.
- Identify and implement process improvements to enhance efficiency and data quality.
- Provide root‑cause analysis and insights into data challenges, including identifying anomalies and trends.
- Collaborate with business and technology partners to resolve issues and improve processes.
- Support the adoption of automation and AI‑driven approaches to strengthen data management.
- Proactively contribute to and support a range of projects and initiatives.
Data Analyst in Dublin employer: The Trust
Trust in Soda / Trinnovo Group is an exceptional employer that fosters a dynamic work culture, blending the flexibility of remote work with the collaborative spirit of on-site engagement in Dublin. Employees benefit from a supportive environment that prioritises professional growth, offering opportunities to enhance analytical skills and engage with cutting-edge technologies like AI and automation. With a commitment to continuous improvement and innovation, this role not only promises meaningful contributions but also a chance to thrive in a data-rich landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Dublin
✨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 data analysis projects, especially if you've used SQL, Python, or Power BI. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you can demonstrate your problem-solving skills and your ability to identify patterns in data.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might not be listed elsewhere. Plus, it’s a great way to show your interest in joining our community.
We think you need these skills to ace Data Analyst in Dublin
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight relevant experience, especially in data management and analytics tools like SQL or Python. We want to see how your skills match what we're looking for!
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 your background fits with our needs. Keep it concise but engaging – we love a good story!
Showcase Your Skills:Don’t just list your skills; demonstrate them! If you’ve worked on projects involving data quality or automation, mention specific examples. We’re keen to see how you’ve applied your knowledge in real-world situations.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at The Trust
✨Know Your Data Tools
Make sure you brush up on your SQL, Python/R, and Power BI skills before the interview. Be ready to discuss how you've used these tools in past projects or internships, as this will show your practical experience and understanding of data analytics.
✨Show Your Curiosity
Demonstrate your proactive mindset by asking insightful questions about the company's data processes and challenges. This not only shows your interest but also highlights your analytical thinking and willingness to contribute to continuous improvement.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You might be asked to describe a past project or analysis, so focus on how you can convey your findings clearly and effectively, especially to non-technical stakeholders.
✨Highlight Teamwork and Independence
Be prepared to discuss examples where you've successfully worked both independently and as part of a team. This role requires balancing individual tasks with collaboration, so showcasing your versatility will be key to impressing the interviewers.
