Business Analyst / Project Manager

Data Intellect
Belfast
2 months ago
Applications closed

Related Jobs

View all jobs

Business Applications Analyst & Project Manager

Project Manager/Business Analyst - Data

Technical Business Analyst - Defence

Digital Operations Manager, IT Manager, IT Support Manager

Business Planner/data analyst assistant

Business Process Analyst. Strong process mapping, analysis and Communication skills

Job Description

  • Work independently on large projects to help your project team deliver high quality work on time
  • Contribute to the Product Roadmap and advise Clients on most effective Sprint dates
  • Manage the delivery of project milestones through all stages of the SDLC
  • Understand the project teams strengths and weaknesses and allocate resources effectively
  • Utilise your domain experience to advise and support on complex subject matter
  • Identify areas of conflict and bottlenecks in workflow and devise strategies to resolve these 
  • Build and maintain excellent relationships with key stakeholders and cross-functional teams


Qualifications

  • 5+ years' experience as a Business Analyst/Project Manager, or both, in a Capital Markets environment
  • Experience in Derivatives Clearing is highly advantageous 
  • Strong communication skills, both verbal and written, comfortable interacting with all levels including senior management
  • Ability to work under pressure to meet tight deadlines and budgets
  • Methodical in approach with strong attention to detail
  • Problem solver with a can-do attitude



Additional Information

What we offer: 

  • Flexible working– we offer hybrid working so our people can achieve that elusive work/life balance.
  • Professional development– we offer extensive training, ranging from leadership to specific technical skills.
  • Progression opportunities- we run a biannual promotion process. Monthly 121s with your People Leader provides support to guide you and your career in the right direction.
  • International travel opportunities– we offer the opportunity to work internationally, with teams in Belfast, London, New York, Hong Kong & Singapore
  • Healthcare cover– provider is dependent on region, UK is provided by Benenden Health, including 24/7 GP Service & Mental Health Helpline to give you peace of mind when it comes to your health
  • Generous referral scheme– we love to see referrals and referring a friend means cash for you!
  • Regular social events, prizes and giveaways– our talented social committee work hard all year round to provide exciting events across all regions to promote our value of togetherness

A little background on DI

Simply put – we turnbig data problemsintosmart data solutions

At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.

This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions.

Fair employment and equal opportunities

Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.

Welcome to Data Intellect.

#ChallengeAccepted

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.