Data Analyst

Join to apply for the Data Analyst role at Janus Henderson Investors
.

A career at Janus Henderson is more than a job, it’s about investing in a brighter future together. Our mission is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world‑class service. We protect and grow our core business, amplify our strengths, and diversify where it matters. Our values drive our success:
Clients Come First—Always, Execution Supersedes Intention, Together We Win, Diversity Improves Results, Truth Builds Trust.

This role sits at the intersection of our client value stream and enterprise data team. As an enterprise data analyst you will work across business and technology teams to deliver valuable data features, support enterprise data change and transformation initiatives, and extract measurable value from our client data.

• Collaborate with stakeholders across the organization to understand their challenges, objectives, and needs. Partner with the client data product owner to translate business requirements to technical specifications and agile features, such as data models and pipeline designs.
• Conduct comprehensive data analysis to support business decisions, enhance data quality, and resolve operational issues using SQL, Python, and ETL tools. Present and communicate clear and timely findings to business and technical stakeholders.
• Understand and apply best practices in enterprise data management to features in the client data warehouse and our downstream products.
• Design, implement, and monitor automated data processes to reduce manual intervention and ensure smooth business operations.
• Document data flows, establish clear data definitions, and participate in other data governance initiatives.
• Participate in agile project planning activities, including risk identification, user story definition, and feature prioritization.
• Complete and support Quality Assurance (QA) testing and engage in agile ceremonies to ensure project objectives are met within sprint cycles.
• Create and maintain dashboards and reports to monitor key performance indicators (KPIs) and provide actionable insights.
• Work collaboratively with technical teams to develop data pipelines and analytics solutions within agile frameworks.
• Continuously learn and apply new technologies, tools, and best practices in business analysis and data management.
• Carry out other duties as assigned.

• Strong experience in data analysis or data warehousing, preferably in a business intelligence or analytics environment.
• Familiarity with Agile methodology and experience in agile ceremonies.
• Demonstrated experience writing SQL scripts for analysis of data warehouses or other data implementations in any of the following database platforms:
  Oracle, Microsoft SQL Server, Databricks Delta Lake, Snowflake.
• Some experience with data visualization or reporting tool such as Tableau, Power BI, or similar BI Tool, for the purposes of monitoring data quality or performing data reconciliation.
• Strong problem‑solving and analytical skills.
• Initiative and the ability to progress projects with minimal supervision.
• Effective communication and time management skills.
• A team player with a client‑first mindset.

• Power
  
  BI dashboard and report creation experience is preferred.
• Basic coding knowledge in Python is preferred.
• Prior experience in the financial services industry is advantageous but not required.

No.

• Mentoring
• Leadership development programs
• Regular training
• Career development services
• Continuing education courses

The base salary range for this position is $100,000-$110,000. Actual pay may differ. The position will be open through the end of December 2025.

Colorado law requires an estimated closing date for job postings. Please don't be discouraged from applying if you see this date has passed.

Position may be eligible to receive an annual discretionary bonus award from the profit pool, determined by company, department, team and…