At a Glance
- Tasks: Analyse data and create impactful visualisations to drive business decisions.
- Company: Join Grant Thornton, a global leader in consulting and advisory services.
- Benefits: Enjoy a flexible work environment, career growth, and a generous benefits package.
- Why this job: Make a real impact with high-profile clients while developing your skills in data analytics.
- Qualifications: Bachelor's degree in a quantitative field and proficiency in programming languages like SQL or Python.
- Other info: Be part of a diverse team that values fresh thinking and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a data analyst to be part of our dynamic and growing Technology Consulting practice. The role will include the support of end-to-end analytics engagements across diverse industry sectors and the design and implementation of data-driven solutions. You will have access to high-profile clients and contribute to meaningful projects, offering a clear path for career progression and skill and knowledge development. This role offers exciting opportunities for both technical and professional growth, as you help shape data-driven decision-making for a diverse portfolio of clients, ranging from established enterprises to innovative startups.
Join a Dynamic Team Driving Change
Our Technology Consulting team is part of our wider Consulting and Advisory services, made up of industry leads and subject matter experts driving change and innovation across this ever-growing department. Our consultants possess transferable skills and collaborate across various teams within the Consulting, Advisory department, applying expertise in project management, stakeholder management, communication and process improvement to drive impactful results. The role, while hybrid, will require the candidate to be present on client site as required.
Roles and Responsibilities
- Developing, validating and transforming data to ensure quality and integrity for analysis.
- Creating impactful data visualisations and dashboards using tools like Power BI, Tableau or Excel to present key insights.
- Collaborating with clients to gather requirements, identify data sources and translate insights into actionable business recommendations.
- Contributing to the creation of technical documentation including design specifications and process workflows.
- Assisting in developing innovative approaches to analytics and process automation utilising tools such as Power Query, Power Automate and VBA to streamline operations.
- Actively participating in workshops and meetings to understand client needs and provide tailored solutions.
- Managing multiple workstreams while ensuring timely delivery of high-quality outputs.
- Supporting business development activities including creating proposals and identifying client opportunities.
- Staying updated on emerging trends in data analytics and continuously integrating new tools and techniques to enhance client solutions.
Education and Certifications
- Bachelor's Degree in a quantitative field (e.g., Data Science, Statistics, Mathematics or Computer Science).
- Proficiency in at least one programming language (e.g., SQL, Python, R).
Experience, Skills and Competencies
- Between 3 – 8 years of experience in data analysis or related roles.
- Hands-on experience with data visualisation tools such as Power BI, Tableau or Excel.
- Familiarity with database management and design including SQL and Oracle.
- In-depth understanding of data governance principles and best practices in data management.
- Experience using Agile project management tools like Azure DevOps or JIRA.
- Experience with ETL processes and data migration between systems.
- Knowledge of machine learning algorithms and predictive analytics techniques.
- Exposure to big data technologies and cloud platforms (e.g., AWS, Azure).
- Certifications in data analytics or business intelligence (e.g., Microsoft Certified: Data Analyst Associate).
- Proven ability to manage competing priorities, deliver under pressure and meet deadlines.
- Excellent communication skills with the ability to explain complex analytics to non-technical stakeholders.
- Strong knowledge of data transformation, validation and remediation processes.
- Experience working in the banking, insurance, asset management, healthcare, life science and public sector preferred.
About Us
Grant Thornton Ireland is rapidly approaching 3,000 people, in 9 offices across Ireland, Isle of Man, Gibraltar and Bermuda. With a presence in over 149 countries around the world and a global network of 73,000 people, we bring our clients the local knowledge, national expertise and global presence to help them succeed – wherever they’re located.
At GT, we work as trusted advisors, bringing local knowledge and national expertise, with a global presence, to help businesses succeed – wherever they are located. We make business more personal by investing in building relationships and empowering our clients to make the right decisions for their organisation now and for the future.
A Career at GT
Looking for a more fulfilling role in professional services? One where fresh thinking, collaboration and diversity are valued? At Grant Thornton we do things differently. What does this mean for you? A career in a more inclusive working environment, a more collaborative work culture, a more supported, flexible working role, more possibilities to grow and more opportunities to help shape the future for your clients.
We respect and value your experience. And we want you to bring your authentic self to work and be at your best. It is how it should be.
Grow with us
At Grant Thornton, we care about our people and work hard to make you feel valued. If you are looking to deepen and develop your skills, knowledge, and experience throughout your career, then that is what you will get, and more.
Our Benefits
Please follow this link for information on our generous benefits package.
Equity, diversity and inclusion
At Grant Thornton, we provide equitable opportunities for all our colleagues. We are a responsible, sustainable business where equity, diversity and inclusion (ED&I) is at the forefront of our workplace culture agenda, and today, we continue to build and develop on our existing ED&I structure and strategy to meet our workplace culture needs.
People are at the heart of our business and teams built with varied individuals present diverse viewpoints, which need to be heard and valued.
Reward And Benefits
Our reward and benefits are designed to create an environment where our people can flourish. We are committed to building a culture where our people have access to the necessary benefits to help promote a healthy lifestyle and thrive.
Recognition
We want to create a culture of recognition and celebrating success, by saying thank you to people who surpass our expectations and recognising the right values and behaviours. Our Shout Out recognition scheme is our way of highlighting and promoting achievements.
Data Analyst – Senior Consultant, Assistant Manager, Manager - Belfast employer: Grant Thornton Ireland
Contact Detail:
Grant Thornton Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Senior Consultant, Assistant Manager, Manager - Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Familiarise yourself with their data-driven solutions and think about how your skills can contribute to their goals. Show them you’re not just another candidate!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of your past work, especially those that highlight your experience with data visualisation and analytics. Make it relatable and impactful.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we value diverse experiences and perspectives. Your unique background could be exactly what we’re looking for!
We think you need these skills to ace Data Analyst – Senior Consultant, Assistant Manager, Manager - Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your data analysis experience, especially with tools like Power BI or SQL, to show us you’re the right fit for our team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data analytics and how you can contribute to our dynamic Technology Consulting practice. Share specific examples of your past work that align with the role.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in programming languages and data visualisation tools. We want to see how you’ve used these skills in real-world scenarios to drive impactful results.
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 Grant Thornton Ireland
✨Know Your Data Tools
Make sure you’re well-versed in the data visualisation tools mentioned in the job description, like Power BI and Tableau. Prepare to discuss your experience with these tools and even bring examples of dashboards or reports you've created.
✨Understand the Business Context
Research the company and its clients to understand the industries they operate in. This will help you tailor your answers and demonstrate how your skills can directly benefit their specific needs.
✨Showcase Your Problem-Solving Skills
Be ready to discuss past projects where you’ve transformed data into actionable insights. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.
✨Prepare for Technical Questions
Brush up on your programming skills, especially in SQL and Python. Expect technical questions that assess your understanding of data governance and ETL processes, so practice explaining these concepts clearly.