At a Glance
- Tasks: Collaborate on innovative data projects and develop scalable software applications.
- Company: Join a forward-thinking tech consultancy with a focus on digital solutions.
- Benefits: Enjoy health perks, generous leave, and a performance-based bonus.
- Other info: Embrace a culture of equality and inclusion with excellent career growth opportunities.
- Why this job: Make an impact with diverse projects and cutting-edge technologies in a hybrid work environment.
- Qualifications: Degree in data science or related field; experience in analytics and problem-solving.
The predicted salary is between 50000 - 70000 £ per year.
We work with a wide range of clients across seven sectors, delivering innovative digital solutions. As a member of our Digital & Data team, you will collaborate across product, design, and cross‑disciplinary teams to turn ideas into scalable software applications. Work on a broad variety of projects and tech stacks for clients across seven sectors – no project is ever the same. Engage with teams in client settings or in the office in a hybrid model (minimum two days per week). Collaborate with colleagues through knowledge‑sharing, peer support, coaching and mentoring. Deepen your expertise through learning and growth – receive budget for courses and certifications. Advocate for the right technology for the right task, including Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI. Use agile best practices, cross‑functionally with multiple stakeholders, and contribute to internal and client projects. Participate in live white‑boarding sessions and asynchronous communication via Teams.
Qualifications & Experience
- Degree, Masters or PhD in data science, mathematics, operational research, physics, or statistics.
- Experience conducting evidence‑based analysis, designing and developing models, and supporting data‑centric decision making.
- Experience translating business needs into analytical approaches and communicating findings to technical and non‑technical audiences.
- Experience across the full analytics and modelling lifecycle – problem formulation, exploratory data analysis, model design, build, testing and hand‑over.
- Proficiency with python, SQL, Excel and data visualisation tools.
- Experience delivering solutions in advanced analytics, data science, algorithm design, operational research modelling, data engineering, big‑data & cloud platforms, or dashboard development.
- Strong problem‑solving mindset and curiosity.
Desirable Skills
- Stakeholder, project management and communication skills; consulting and advisory experience.
- Experience in the software or product development lifecycle for analytical solutions (discovery, prototype, rollout, implementation, managed service).
- Experience presenting to clients and developing behavioural science propositions.
Security Clearance (UK)
Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people must undergo background checks and achieve the Baseline Personnel Security Standard, and some UK roles require higher levels of National Security Vetting, typically requiring at least five years of continuous residency in the UK.
Benefits
- Health and lifestyle perks including private healthcare for you and your family.
- 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days.
- Generous company pension scheme.
- Opportunity to get involved with community and charity initiatives.
- Annual performance‑based bonus.
- PA share ownership.
- Tax‑efficient benefits (cycle to work, give as you earn).
Equality & Inclusion
We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or any other range of human difference. We welcome applications from underrepresented groups.
Adjustments & Accommodations
Should you require adjustments or accommodations to the recruitment process, at either application or interview, please contact us at recruitmentenquiries@paconsulting.com.
Advanced Data Analytics Consultant in Belfast employer: Astro Studios, Inc.
At PA Consulting, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. As an Advanced Data Analytics Consultant, you will benefit from a hybrid working model, generous annual leave, and a commitment to your professional growth through funded courses and certifications. Join us to engage in diverse projects across various sectors while enjoying health perks, a robust pension scheme, and the opportunity to make a meaningful impact in the community.
StudySmarter Expert Advice🤫
We think this is how you could land Advanced Data Analytics Consultant in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. The more people know you’re looking for an Advanced Data Analytics Consultant role, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills in real-time! Participate in hackathons or data challenges where you can demonstrate your analytical prowess. This not only builds your portfolio but also gets you noticed by potential employers who value hands-on experience.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you started on this exciting journey!
We think you need these skills to ace Advanced Data Analytics Consultant in 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 proficiency in Python, SQL, and data visualisation tools, as these are key for the Advanced Data Analytics Consultant role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data analytics and how your background aligns with our innovative projects. Share specific examples of how you've turned business needs into analytical solutions.
Showcase Your Problem-Solving Skills:In your application, emphasise your problem-solving mindset and curiosity. We love candidates who can demonstrate their ability to tackle complex challenges and communicate findings effectively to both technical and non-technical audiences.
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Astro Studios, Inc.
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, SQL, and PowerBI. Be ready to discuss how you've used these tools in past projects and how they can be applied to solve client problems.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving mindset. Think of specific challenges you've faced in data analytics and how you approached them. This will demonstrate your analytical thinking and ability to translate business needs into actionable insights.
✨Engage in Collaborative Scenarios
Since collaboration is key in this role, practice discussing how you've worked with cross-disciplinary teams. Be ready to share experiences from live white-boarding sessions or any agile practices you've employed to enhance teamwork and project outcomes.
✨Communicate Clearly with Diverse Audiences
You’ll need to communicate findings to both technical and non-technical audiences. Prepare to explain complex concepts in simple terms and think about how you can tailor your communication style to different stakeholders during the interview.
