Senior Data Business Analyst

We need to output HTML fragment with sections: About the role? Actually the posting includes "Why work for us?" which is like about company mission/values. Could be "About the role" or "About the company". The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to decide which sections to include based on content. We have: - Why work for us? (mission, values) -> could be "About the role" or maybe "About the company". But we can treat as "About the role" or maybe "About Janus Henderson". The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we should map content to these headings. We have responsibilities: many bullet points describing duties. We have requirements/qualifications: "Must Have Skills" list. We have benefits: list of benefits (Hybrid working, Holiday policies, Health and Wellbeing benefits, Paid volunteer time, professional development, Maternal/paternal leave, Unique employee events, Complimentary beverages, snacks, Happy Hours). Also "Supervisory responsibilities No" maybe not needed. We have Pay: base salary range $130,000 - $135,000. Also mention Annual Bonus Opportunity. We have Schedule: hybrid working mentioned. We should not include boilerplate like EEO, legal, application instructions, etc. We must not repeat job title as heading. We must not include Job ID/requisition numbers. We must preserve all substantive information. We must not create sections with filler like "commensurate with experience". Not present. We need to output only HTML fragment, no /, no markdown fences. Thus produce something like:

About the role

... mission and values ...

Responsibilities

• ...
...

Requirements

• ...
...

Benefits

• ...
...

Pay

Base salary range: $130,000 - $135,000. Annual bonus opportunity...

Schedule

Hybrid working arrangement.

We need to ensure we include all substantive info from the posting. Let's extract: Why work for us? (mission, values) text: "Why work for us? A career at Janus Henderson is more than a job, it’s about investing in a brighter future together . Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. 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 If our mission, values, and purpose align with your own, we would love to hear from you!" We can put that in About the role. Responsibilities: list of duties from "Your opportunity" paragraph and subsequent sentences. Let's extract bullet points: - This role sits at the intersection of our client value stream and enterprise data team. - As a senior data business analyst, you will work across business and technology teams to design and deliver valuable data features, support enterprise data change and transformation initiatives, and extract measurable value from our client data. - You will play a pivotal role by leading analysis projects that drive business impact through data. - Lead collaboration with stakeholders across the organization to understand their challenges, objectives, and needs. - Partner with the client data product owner to translate business needs to technical specifications and agile features, such as data models and pipeline designs. - Evaluate technical trade-offs and recommend solutions that align with business strategy. - Represent the needs of client data and our stakeholders on cross-functional data change and transformation projects. - Serve as a key liaison across the client value stream, enterprise data team, peer data owners and stakeholders. - Ensure clear communication and alignment on project goals and updates. - Communicate effectively across all lines of business, from day-to-day business users to the executive level. - 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. - Provide strategic insights and recommendations to influence business decisions. - Act as a subject matter expert (SME) for distribution data and the firm’s enterprise data strategy and transformation initiatives. - Understand and apply best practices in data management to new data features in the client data warehouse and our downstream products. - Document data flows, establish clear data definitions, and participate in other data governance initiatives. - Champion data governance and quality standards across the organization. - Together with the product owner, lead 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. - Mentor and guide junior analysts. - Carry out other duties as assigned. That's many. Requirements/Must Have Skills: - Extensive experience in data analysis, architecture and warehousing in a cloud environment. - Proven track record leading data projects and initiatives with strategic impact. - Familiarity with agile methodology and experience in agile ceremonies. - Experience in leading and mentoring teams in agile environments. - Demonstrated experience writing SQL and python scripts for analysis of data warehouses in any of the following database platforms: Databricks Delta Lake, Snowflake, Oracle, Microsoft SQL Server. - Demonstrated experience with data visualization or reporting tool such as Tableau, Power BI, or similar BI Tool. - Strong problem-solving and analytical skills. - Initiative and the ability to design technical solutions and progress projects with minimal supervision. - Effective communication and time management skills. - Proven ability to influence and engage stakeholders at all levels. - A team player with a client-first mindset. - Prior experience in the financial services industry. We could also include "Qualifications" but we have Requirements. Benefits list: - Hybrid working and reasonable accommodations - Generous Holiday policies - Excellent Health and Wellbeing benefits including corporate membership to Wellhub - 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 - Unique employee events and programs including a 14er challenge - Complimentary beverages, snacks and all employee Happy Hours - Supervisory responsibilities No (maybe not needed) - Potential for growth Mentoring Leadership development programs Regular training Career development services Continuing education courses (these are under "Potential for growth" but could be considered benefits) - 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. To learn more about our offerings please visit the Why Join Us section on the career page here . We need to avoid boilerplate like "To learn more..." maybe keep but it's not essential. Might be considered boilerplate? It's a link to career page; could be considered navigation. Safer to omit. We should keep substantive benefits: hybrid working, generous holiday policies, excellent health and wellbeing benefits including corporate membership to Wellhub, paid volunteer time, support for professional development courses/tuition reimbursement, maternal/paternal leave benefits and family services, unique employee events and programs including a 14er challenge, complimentary beverages, snacks and all employee happy hours, supervisory responsibilities (no), potential for growth mentoring leadership development programs regular training career development services continuing education courses, annual bonus opportunity. We could combine some. Pay: base salary range $130,000 - $135,000. Also mention that actual pay may differ, position open through Oct 30 2026 (but that's maybe metadata; we could drop as per instruction: do NOT put Job ID/requisition numbers as headings — fold minor metadata into a short

or drop it. The closing date is minor metadata; we could drop it or include in a short p. Probably drop. Schedule: hybrid working. We should not include EEO/legal etc. Now produce HTML. We need to ensure we don't repeat job title as heading. We'll output:

About the role

Why work for us? A career at Janus Henderson is more than a job, it’s about investing in a brighter future together . Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. 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 If our mission, values, and purpose align with your own, we would love to hear from you!

Responsibilities

• This role sits at the intersection of our client value stream and enterprise data team.
• As a senior data business analyst, you will work across business and technology teams to design and deliver valuable data features, support enterprise data change and transformation initiatives, and extract measurable value from our client data.
• You will play a pivotal role by leading analysis projects that drive business impact through data.
• Lead collaboration with stakeholders across the organization to understand their challenges, objectives, and needs.
• Partner with the client data product owner to translate business needs to technical specifications and agile features, such as data models and pipeline designs.
• Evaluate technical trade-offs and recommend solutions that align with business strategy.
• Represent the needs of client data and our stakeholders on cross-functional data change and transformation projects.
• Serve as a key liaison across the client value stream, enterprise data team, peer data owners and stakeholders.
• Ensure clear communication and alignment on project goals and updates.
• Communicate effectively across all lines of business, from day-to-day business users to the executive level.
• 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.
• Provide strategic insights and recommendations to influence business decisions.
• Act as a subject matter expert (SME) for distribution data and the firm’s enterprise data strategy and transformation initiatives.
• Understand and apply best practices in data management to new data features in the client data warehouse and our downstream products.
• Document data flows, establish clear data definitions, and participate in other data governance initiatives.
• Champion data governance and quality standards across the organization.
• Together with the product owner, lead 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.