Lead Data Analyst
Terminal
IT, Data Science
Poland
About Addepar:
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.
About this role:
We are currently seeking a Lead, Data Analyst to join our Portfolio Data Feeds team in Poland. As well as performing the role of a Lead Data Analyst within the team, using your skills to effectively contribute to the team's overall goals, you will lead and develop the team's analysts to enable them to do the same.
This role is available either under B2B contract and FTE employment, depending on the candidate's preferences and qualifications.
Please note: applicants must have, and maintain the right to work in Poland to be considered. A background check is required to be completed prior to the first day of work.
What you'll do:
We are currently seeking a Lead, Data Analyst to join our Portfolio Data Feeds team in Poland. As well as performing the role of a Lead Data Analyst within the team, using your skills to effectively contribute to the team's overall goals, you will lead and develop the team's analysts to enable them to do the same.
Please note: applicants must have, and maintain the right to work in Poland to be considered. A background check is required to be completed prior to the first day of work.
What you'll bring:
• 5+ years of experience in data analysis with relevant finance domain-specific experience.
• Experience with leading teams, cross-functional projects and learning and development initiatives. Proven ability to plan, design, and manage numerous processes, people and projects simultaneously.
• Track record of effective problem solving abilities, self-motivation to take on responsibility, and a strong team-player mentality.
• Ability to work cross functionally to define functional and technical implementations to tackle a business problem. This includes understanding of high level data development concepts, data modeling, and the ability to write and review technical requirements documents.
• Technical skills preferred in any or all of the following: Excel, VBA, SQL, Python, Databricks or other common financial services systems and applications.