Janus Henderson Investors-posted 4 days ago
Full-time • Mid Level
Hybrid • Denver, CO
1,001-5,000 employees

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.

  • 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.
  • PowerBI 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.
  • Hybrid working and reasonable accommodations
  • Generous Holiday policies
  • 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
  • Maternal/paternal leave benefits and family services
  • Complimentary subscription to Headspace – the mindfulness app
  • Corporate membership to ClassPass and other health and well-being benefits
  • Unique employee events and programs including a 14er challenge
  • Complimentary beverages, snacks and all employee Happy Hours
  • Mentoring
  • Leadership development programs
  • Regular training
  • Career development services
  • Continuing education courses
  • Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance.
  • Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits.
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