At a Glance
- Tasks: Shape the future of commercial analytics and AI-driven decision making.
- Company: Join a leading investment firm with a focus on innovation.
- Benefits: Enjoy hybrid working, generous holidays, health benefits, and professional development support.
- Other info: Great growth opportunities with mentoring and leadership development programs.
- Why this job: Make a real impact by designing intelligent data products for sales teams.
- Qualifications: Experience in asset management, strong SQL skills, and proficiency in Power BI.
The predicted salary is between 80000 - 100000 £ per year.
Your opportunity
Help shape the future of commercial analytics and AI‑driven decision making across the EMEA & LatAm Client Group. Build the foundations of a modern sales intelligence capability by combining data engineering, analytics, automation, and AI to improve prioritisation, focus, and sales effectiveness. Design and engineer decision‑grade data products that move beyond dashboards into workflow‑embedded intelligence used directly by sales teams. Use Power BI as a core interface today, while progressively enabling AI‑assisted insights, automated decision support, and early‑stage agent‑based capabilities. Work closely with Sales, Strategy, and Technology to translate commercial problems into scalable data and AI solutions. Influence how analytics, data, and AI are applied across the business, with real scope to shape the long‑term trajectory of the team as it evolves from reporting to decision intelligence. Carry out other duties as assigned.
What to expect when you join our firm
- Hybrid 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
- Maternal/paternal leave benefits and family services
- Complimentary subscription to Headspace – the mindfulness app
- All employee events including networking opportunities and social activities
- Lunch allowance for use within our subsidised onsite canteen
Must have skills
- Experience in asset management, with a strong understanding of distribution models, client hierarchies, and sales effectiveness
- Strong SQL skills, with hands‑on experience working in cloud data platforms such as Snowflake and/or Databricks
- Proven experience building analytics solutions using Power BI, with a strong focus on data modelling, semantic layers, scalable and well‑governed datasets, and performance‑aware design
- Data engineering and analytics engineering experience, including designing end‑to‑end data pipelines and working across multiple source systems such as CRM, pipeline, flows, client, product, sales, and marketing data
- Demonstrable experience delivering AI‑enabled or agent‑based workflows using tools such as Copilot Studio, conversational or agentic analytics, or AI‑assisted insight generation, summarisation, and decision support
- Experience using the Microsoft ecosystem as a platform, including Power BI, Power Platform as an orchestration layer driving insight‑led workflows, and Azure‑based data and AI services
- Exposure to Python for analytics, automation, or prototyping ML‑driven solutions
- Comfortable working with ambiguity, shaping requirements, and delivering commercial impact rather than perfect technical outputs
Nice to have skills
- Experience with machine learning use cases such as forecasting, sales pipeline to flow modelling, or client and opportunity scoring
- Familiarity with MLOps or productionising AI models, including monitoring, governance, or retraining considerations
- Hands-on experience embedding analytics or AI directly into sales workflows rather than delivering standalone reporting
- Experience working with Azure AI services or similar enterprise AI platforms
- Experience using Salesforce or other CRM systems as a primary analytics and sales intelligence input
- Strong storytelling skills, with the ability to explain complex analytics or AI outputs in a way that supports confident, timely decision making by sales leadership
- Microsoft certifications such as Azure Data Engineer, Azure AI Engineer, Power Platform, Fabric, or Applied AI credentials
- Snowflake certifications such as SnowPro Core or Advanced
- Relevant applied AI, machine learning, or analytics engineering certifications
Supervisory responsibilities
No
Potential for growth
- 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. Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions as determined by Janus Henderson at its sole discretion. You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position. You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable to your role.
Associate Director, Distribution Data & Analytics, EMEA & LatAm Client Group employer: Janus Henderson Investors
At Janus Henderson, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our comprehensive professional development programmes, generous health and wellbeing benefits, and a supportive hybrid working environment. Located in a vibrant city, we provide unique opportunities for networking and community engagement, making it a rewarding place to advance your career in the field of data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director, Distribution Data & Analytics, EMEA & LatAm Client Group
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Janus Henderson. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. You want to explain your experience with data analytics and AI in a way that resonates with the sales team. Make it relatable and show how your skills can drive their success.
✨Tip Number 3
Showcase your technical prowess! Be ready to discuss your hands-on experience with SQL, Power BI, and cloud platforms like Snowflake. Bring examples of how you've built analytics solutions that made a real impact.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Janus Henderson.
We think you need these skills to ace Associate Director, Distribution Data & Analytics, EMEA & LatAm Client Group
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in asset management and data analytics. We want to see how your skills align with the role, so don’t hold back on showcasing your SQL prowess and Power BI expertise!
Showcase Your Projects:If you've worked on any relevant projects, especially those involving AI or data engineering, be sure to mention them! We love seeing real-world applications of your skills, so include specific examples that demonstrate your impact.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to explain your experience and how it relates to the job. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Janus Henderson Investors
✨Know Your Data Inside Out
Make sure you’re well-versed in SQL and familiar with cloud data platforms like Snowflake or Databricks. Be ready to discuss how you've built analytics solutions using Power BI, focusing on data modelling and performance-aware design.
✨Showcase Your AI Savvy
Prepare examples of how you've delivered AI-enabled workflows or used tools like Copilot Studio. Highlight your experience with machine learning use cases and how you've embedded analytics directly into sales workflows.
✨Communicate Clearly
Practice explaining complex analytics or AI outputs in a straightforward way. You want to demonstrate your storytelling skills, especially how your insights can support decision-making for sales leadership.
✨Embrace Ambiguity
Be ready to discuss how you've shaped requirements in uncertain situations. Show that you can deliver commercial impact rather than just perfect technical outputs, as this is crucial for the role.
