At a Glance
- Tasks: Lead diverse teams in delivering innovative data analytics solutions for clients.
- Company: Join EY, a global leader in assurance and consulting.
- Benefits: Flexible working, competitive pay, and tailored benefits to suit your lifestyle.
- Other info: Inclusive culture with opportunities for continuous learning and career growth.
- Why this job: Shape the future with data analytics and make a real impact.
- Qualifications: Degree in a relevant field and experience in data analytics or consulting.
The predicted salary is between 56700 - 69300 £ per year.
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Data Analytics & AI – Data Science & AI – Manager EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. This role can be located in our offices in Belfast or Derry/Londonderry, working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
We believe that the highest-performing teams maximize the power of different perspectives and backgrounds. These teams are both diverse and inclusive and are willing to invite and learn from other perspectives. Our ability to include various viewpoints into our mindsets, behaviours and operations is fundamental to driving innovation, building strong relationships, and delivering the best solutions for our clients.
The nature of this role means no two projects will be the same. That means you'll need to think on your feet and challenge existing practices to develop solutions for complex problems. You'll also be collaborating with colleagues across multiple service lines, so you will be expected to build relationships and identify opportunities for our clients to benefit from our expertise in other areas. Occasional travel may be necessary as you will be meeting with key clients, some of whom are the most respected in their fields.
Your key responsibilities include:
- Leading diverse teams with varying skillsets, who use different Data and Analytics technologies.
- Lead end-to-end project delivery for data and analytics initiatives, ensuring alignment with business objectives and timelines.
- Develop comprehensive project plans that outline scope, objectives, timelines, and resource allocation, ensuring successful execution and delivery.
- Oversee project budgets, ensuring effective allocation of resources and adherence to financial constraints.
- Engage with key stakeholders across client organisations to understand their data needs, communicate project progress, and ensure alignment with their strategic/project goals.
- Create a positive learning culture and coach junior members of the team.
- Champion operational efficiency improvements on projects and internal initiatives.
- Contribute to the development of the wider Data & Analytics team's future by building our brand, attending relevant events, collaborating with other internal teams, and producing thought leadership.
To qualify for the role, you must have:
- A completed degree (bachelors, masters, or PhD).
- Proven experience as a Data Analytics professional, or similar role in a consulting environment or equivalent with a focus on project delivery and management.
- Demonstrated ability to supervise and develop others, effectively communicate, manage client expectations, and deliver quality projects.
- Ability to communicate technical information to non-technical colleagues and clients.
- Working knowledge of key analytics tools such as PowerBI, Tableau, SQL, Python, R, Azure, AWS, GCP.
- Experience in any aspects of the data analytics lifecycle.
What working at EY offers:
- A competitive remuneration package.
- Support for flexible working and career development.
- Opportunities to develop new skills and progress your career.
- Hybrid Working.
- Recognition Awards and Cash incentives for referrals.
EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities.
As an equal opportunities employer, we welcome applications from people of all backgrounds. Reasonable accommodations are offered at every stage of our recruitment process.
Are you ready to shape your future with confidence? Apply today.
Manager - Analytics Delivery - Assurance - Belfast employer: EY
EY is an exceptional employer that fosters a collaborative and innovative work culture in Manchester, where you can thrive as an Industry Strategy & Growth Lead. With comprehensive benefits including medical coverage and flexible vacation policies, alongside a strong commitment to professional development, EY empowers its employees to grow and excel in their careers while making a meaningful impact in the consumer and health sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Manager - Analytics Delivery - Assurance - Belfast
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We think you need these skills to ace Manager - Analytics Delivery - Assurance - 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at EY, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EY. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at EY
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
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.
