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Lead Investments Data Analyst - London, United Kingdom - Janus Henderson Investors
Description
Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service.
Our Values are key to driving our success, and are at the heart of everything we do:Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust
As the Head of Investments Data, BI & Analytics you will play a critical role within the Investments Technology Team at Janus Henderson Group, leading a team of data engineers, data analysts, and BI report developers.
Your main objective is to build and manage a comprehensive data repository designed as a semantic layer on Snowflake to meet the varied needs of front office stakeholders, systems, and clients.
This position reports directly to the Head of Investments Technology and works closely with key stakeholders in the business, IT, and the enterprise data management group to ensure compliance with data governance, quality standards, and best practices.
Oversee the development and maintenance of a robust data repository on Snowflake, ensuring it serves as an effective semantic layer for aggregating and organizing data for access and analysis by Investments and Technology teams.
Develop and implement a data consumption strategy, including creating Excel Add-ins, and APIs, to efficiently distribute data to end-users and support decision-making processes.
Develop effective relationships with investment areas, data operations, core platforms technology, and other JHI teams to support the delivery of data-related services to our Investments StakeholdersWork in partnership with the enterprise data management group to align the data repository with data governance and quality standards.
Lead and mentor a team of data professionals, promoting a culture of innovation, collaboration, and continuous improvementHybrid working and reasonable accommodations
Generous Holiday policies
Excellent Health and Wellbeing benefits including corporate membership to ClassPass
Paid volunteer time to step away from your desk and into the community
Support to grow through professional development courses, tuition/qualification reimbursement and more
All-inclusive approach to Diversity, Equity and Inclusion
Maternal/paternal leave benefits and family services
All employee events including networking opportunities and social activities
Lunch allowance for use within our subsidized onsite canteen
Strong background in data architecture and engineering, ideally within the finance or investment sector.
Deep knowledge of Databricks, Snowflake and its application as a semantic layer for data repositories.
Practical understanding of core investments data domains across Equity, Fixed Income, and Alternatives.
Excellent collaboration and partnership skills, with experience in driving data governance and quality across departments.
Strong leadership and team management skills, with the ability to inspire and develop talent.
Excellent communication and stakeholder management abilities, capable of articulating complex technical concepts to non-technical audiences.
Experience with modern technology stacks, agile methodologies, and cloud computing
Background in Product Management and Agile delivery methodologies
Degree educated in mathematics or scientific/engineering discipline.
CFA or similar industry qualification
Experience with Snowflake, Databricks, SQL, Python and cloud-native ETL/ELT tools.
Regular training
Career development services
Continuing education courses