Senior Data Analyst (Investment Management)

Davy Group; Dublin; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Health and wellness benefits

Flexible working options

Learning and development opportunities

Job summary

Davy Group in Dublin is seeking a Senior Data Analyst to enhance decision-making and investment performance through data analysis and quantitative modelling. The ideal candidate will have 5–8 years of experience in financial services, strong skills in Python and SQL, and the ability to work in Agile environments.

The role offers a comprehensive remuneration package, flexible working options, and a commitment to employee wellbeing and development. At Davy, inclusivity and diversity are prioritized.

Qualifications

• 5–8 years’ experience in data analytics, preferably in investment or financial services.
• Strong understanding of performance attribution and portfolio analytics.
• Experience working within Agile environments.

Responsibilities

• Support the investment management team as a key analytical partner.
• Translate business requirements into analytical and data solutions.
• Develop analytical models and insights for portfolio performance.

Skills

Analytical capability

Python (pandas, NumPy)

SQL

Data visualization tools (Power BI, Tableau)

Stakeholder engagement

Education

Bachelor's degree in a relevant field

Tools

Snowflake

Azure DevOps

Jira

Job description

About the role

An exciting opportunity has opened up in the Data and Analytics Team. In the role, the successful candidate will:

• The Senior Data Analyst will operate within Davy’s enterprise Data & Analytics function, supporting the Investment Management team as a key analytical partner to portfolio management, investment research and risk teams.
• This is a hands‑on role at the intersection of data analysis, data product ownership and quantitative modelling. The role combines deep analytical capability with an understanding of investment data and business needs, translating complex datasets into insights that support portfolio construction, performance analysis and investment decision‑making, including ownership of analytical use cases from requirement through to delivery.
• Work closely with data engineering teams (including Snowflake engineers), the role will contribute to the design and development of scalable data solutions, ensuring investment data is trusted, accessible and fit for purpose. The role requires a strong delivery focus, with responsibility for managing and prioritising analytical and data product backlogs in an Agile environment.
• Partner with portfolio managers and investment teams to translate business requirements into analytical and data solutions.
• Develop analytical models and insights to support portfolio performance, attribution analysis and investment decision‑making.
• Design and deliver performance attribution and portfolio analytics to support investment decision‑making.
• Build dashboards and reporting outputs for investment, risk and senior stakeholders.
• Collaborate closely with data engineers to develop and enhance investment data pipelines and data models.
• Support the development of curated investment data sets and data products to enable self‑service analytics.
• Operate within Agile delivery frameworks, using tools such as Jira and Azure DevOps to track progress and manage work.
• Manage and prioritise a backlog of analytical and data product requirements, ensuring alignment to business priorities and delivery timelines.
• Define and apply data quality standards across investment data, ensuring accuracy and consistency.
• Explore and apply AI and advanced analytical techniques to enhance insights, efficiency and decision support.
• Work with third‑party data providers (e.g. Bloomberg, FactSet, MSCI) to source, validate and integrate data.

About you

• 5–8 years’ experience in data analytics, with experience in investment management, asset management or financial services.
• Strong analytical capability with experience in performance attribution, portfolio analytics or risk modelling.
• Proficiency in Python (e.g. pandas, NumPy) for financial data analysis and modelling.
• Advanced SQL skills and experience working with cloud data platforms (e.g. Snowflake, Databricks).
• Good understanding of financial instruments (equities, fixed income, derivatives) and associated data structures.
• Experience working within Agile environments, including backlog management and iterative delivery.
• Familiarity with project management and delivery tools such as Jira and Azure DevOps.
• Experience working with data engineering teams and contributing to data pipeline or data product development.
• Experience with data visualisation tools (e.g. Power BI, Tableau).
• Strong stakeholder engagement skills with the ability to communicate complex analysis clearly.
• Demonstrated delivery focus, with the ability to prioritise effectively and drive outcomes in a fast‑paced environment.
• Interest in and ability to apply AI or advanced analytics techniques to financial data is desirable.

What we offer

At Davy, our people are our biggest investment. In today’s fast‑moving world, we know it’s important to feel secure and empowered. That’s why Davy benefits support you through all of life’s stages, offering health and wellness, flexible working options, flexible benefits allowance, learning and development opportunities, through to assisted retirement planning.

Health and Wellbeing

Psychological safety, emotional wellbeing and support are a priority at Davy. We offer a comprehensive Employee Assistance Programme (EAP) and mental health first aid. Our Sports & Social teams promote physical wellbeing and social connection.

Reward and Recognition

We offer a competitive remuneration package to include salary, bonus, pension and a host of additional benefits to protect you and your family when it matters most.

Growth and Development

Our award‑winning L&D function supports you and your growth at Davy. We offer a comprehensive range of professional and personal development opportunities. Our culture supports learning, and we encourage you to explore more at Davy.

Positive Workplace

Our workplace is inclusive, diverse, and offers everyone a sense of belonging. We are flexible and continue to support a hybrid working model. You will get to be your best at Davy.

Values and Culture

Exceptional client outcomes delivered by a world‑class team, underpinned by our core Davy values – One Team, Client Success, and Proud Legacy.

Important Information

Davy is an equal opportunities employer, committed to fostering an inclusive and diverse workplace. We value diversity in both background and experience, and even if you don’t meet all of the requirements outlined in the job description, we still encourage you to apply. We review all applications received. As part of our commitment to creating an accessible environment, we want to ensure that everyone has an equal opportunity to participate in the interview process. If you require any reasonable accommodations, please let us know, and we will do our best to make the necessary arrangements.

Appointment to this role is subject to the candidate's eligibility to work in Ireland.