Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Vice President - Business Intelligence & Data Management - Senior Data Analyst

BNY Mellon
Manchester
3 weeks ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer - £120,000

Data Analyst – Azure Data Integration Project | Outside IR35 | Start August | Onsite in Bristol 3 Days/Week

Senior Data Engineer

Senior Data Analyst

Senior Data Engineer - Hybrid Manchester - Perm

Senior Azure Data Engineer

Senior Data Analyst - Business Intelligence & Data Management (Senior Vice President)

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets.Every day around the globe, our 50,000+ employees bring the power of their perspective to the table tocreate solutions with our clients that benefit businesses, communities and people everywhere.

We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about.

We’re seeking a future team member for the role ofSenior Data Analyst - Business Intelligence & Data Management (Senior Vice President)to join our team. This role is located in Manchester (hybrid).

In this role, you’ll make an impact in the following ways:

  • Oversee the development of internal datasets to create automated data workflows, dashboards/visualizations, and market intelligence for clients.
  • Work with business unit managers to define reporting and analytic goals.
  • Independently design automated workflows, data sets, and visualizations/dashboards to meet internal client needs.
  • Analyze, reconcile, troubleshoot, and review incoming and outgoing data to ensure accurate performance/output.

To be successful in this role, we’re seeking the following:

  • Extensive experience in software development, data management and business intelligence.
  • Strong background in Java, Spring Framework, and SQL, along with a deep understanding of DevOps processes and data analytics tools.
  • Experience in Spring Framework and proficiency with Spring Boot and Java 8 or higher.
  • Solid coding and troubleshooting experience on Web Services and RESTful API.
  • Strong SQL skills to work on relational databases.
  • Knowledge in data warehousing (Snowflake/Hadoop), data lakes, and pipelines is a plus.
  • Knowledge in various data analytics tools such as ThoughtSpot, Druid, and Superset.
  • Knowledge of Scrum and ability to work in a fast-paced environment.
  • Strong analytical skills and attention to detail.
  • Ability to learn and pick up new skills and to perform with minimal management supervision.
  • Strong verbal and written communication skills.
  • Strong experience in SDLC, DevOps processes – CI/CD tools, Git, etc.
  • Experience in the securities or financial services industry is a big plus.


At BNY, our culture speaks for itself. Here’s a few of our awards:

  • America’s Most Innovative Companies, Fortune, 2024
  • World’s Most Admired Companies, Fortune 2024
  • Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024
  • Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024
  • “Most Just Companies”, Just Capital and CNBC, 2024
  • Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
  • Bloomberg’s Gender Equality Index (GEI), 2023


Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Jobs

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Jobs

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Careers

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.