At a Glance
- Tasks: Apply agile practices and collaborate on diverse data analytics projects.
- Company: Join a forward-thinking tech consultancy with a supportive community.
- Benefits: Enjoy hybrid working, funding for learning, and a range of exciting projects.
- Other info: Great opportunities for career growth and professional development.
- Why this job: Make a real impact by solving complex problems with data-driven solutions.
- Qualifications: Degree in data science or related field; strong analytical and communication skills.
The predicted salary is between 50000 - 70000 £ per year.
Job Overview
We combine strategic thinking, customer‑centric service design, and agile engineering practices to accelerate innovation in a tech‑driven world.
Benefits
- Hybrid working: office or client site minimum 2 days per week, variable by role.
- Broad range of projects across seven sectors with diverse tech stacks.
- Supportive tech community, mentoring, and knowledge sharing.
- Funding for courses, certifications, and personal learning.
Responsibilities
- Apply agile best practices and work cross‑functionally with multiple teams and stakeholders.
- Problem‑solve with clients, translating business needs into analytical approaches and solutions.
- Conduct analysis for evidence‑based decision making, model design, build, testing, and handover.
- Collaborate in live in‑person whiteboard sessions and asynchronous communication on Teams.
- Support internal projects and client engagements, including up to 5 days per week on client site.
Qualifications
- Degree, Master’s or Ph D in data science, mathematics, operational research, physics, or statistics.
- Experience conducting analysis for evidence‑based decision making and building models.
- Strong communication skills, able to present findings to technical and non‑technical audiences.
- Full analytics and modelling lifecycle experience: problem formulation, exploratory data analysis, model design, build, testing, and handover.
- Proficiency with Python, SQL, Excel, and data visualisation tools.
- Lead and deliver solutions in advanced analytics, data science, algorithm design, operational research, data engineering, big data or cloud platforms, data visualisation or dashboard development.
- Inquisitive problem‑solver and collaborator.
- Advantageous: stakeholder management, project management, consulting experience, product development lifecycle for analytical solutions, and business process presentation.
- Security and Legal Clearance
Some UK roles at PA Consulting require a UK security clearance and background checks.
Applicants must meet residency requirements: British citizenship or at least 5 years continuous residency in the UK.
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Advanced Data Analytics Consultant in Belfast employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Advanced Data Analytics Consultant in Belfast
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We think you need these skills to ace Advanced Data Analytics Consultant in Belfast
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
