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Janus Henderson Investors Senior Business Intelligence Analyst in London, United Kingdom

We are a leading independent global asset manager, dedicated to delivering the best outcomes for our clients through a highly diversified range of actively-managed products. We are truly global, supporting our individual and institutional investors across a range of products, encompassing equities, fixed income, multi-asset and alternatives. Our high-energy and collaborative culture at Janus Henderson helps our client achieve their goals and ensures that our people love the place they work.

Overview of the role

Create Janus Henderson Distribution Business Intelligence report and analytics building and distribution process. Create cross-functional reports and analytics that provide insight to the business by developing and executing data-driven support for business strategies. Determine with the business, the appropriate performance measures to be produced including trends, forecasts, and other metrics. Create polished, executive level reporting and presentations including actionable recommendations and next steps. Champion the importance of data accuracy, compelling storytelling, and ongoing learning. This person will help the Business Intelligence team form partnerships, throughout the firm, to promote innovative brand recognition solutions and add value to strategic efforts. Lastly, the associate is also responsible for ensuring the accuracy and consistency of data for all reports and analytics.

Duties and responsibilities

You will:

  • Manage and develop business intelligence reporting and analytics process/relationships.

Develop Business Intelligence framework to provide; 1.) Heightened client experience 2.) Drive sales and marketing effectiveness, support, and analytics for business channels and sellers 3.) Roll out new analytics tools. This includes but is not limited to:

  • Build predictive models from multiple data sources, develop advanced algorithms that extract and classify information from large, noisy, unstructured data sets.

  • Provide statistical and analytic support on assignments designed to acquire, enhance, and retain customer relationships.

  • Develop analyses and predictive models related to customer segmentation, acquisition, attrition, enhanced cross sell and profitability.

  • Mentor and promote development of team members.

  • Actively seek out opportunities to improve analytic processes or report delivery methods to enhance team efficiency, accuracy and end user experience.

  • Build flexibly and adaptably designed data, reporting, and analytics structures from multiple data sources to support reporting and analytics needs

  • Work with sales executives to determine appropriate target audiences for new distribution reporting and analytics initiatives.

  • Provide reporting and analytic support on assignments designed to acquire, enhance, service, and retain customer relationships.

  • Create analyses and models related to value-based and behavioral customer segmentation, acquisition, attrition, enhanced cross sell and profitability.

  • Develop statistical testing programs to measure and improve on-going performance of professional development program outcomes, marketing initiatives and campaigns outcomes, market share growth, product duration and diversity, and other strategic initiatives.

  • Develop customized and ad hoc reports and analyses based on the needs of the business units and management.

  • Analyzes large quantities of data and presents insights and predictions to support management planning, execution and monitoring of business decisions.

  • Combines a high level of understanding on how business operates with analytical ability to sift effectively through data available, overlaying all this with the technical competency to illustrate this analysis to senior level stakeholders and the wider business.

  • Have a strong desire to become a trusted partner of our clients.

  • Contribute to strategic decisions within team, by showing an understanding of how individual work ties into the strategic direction of the company.

Perform data and business analysis to gain insight into business functions and provide necessary recommendations to management team, technology, and operations. This includes but is not limited to:

  • Translate user’s information requirements into data and system specifications, design and implement solutions.

  • Collaborate with fellow team members, technology, and operations in the creation of reports and analyses Meta data (i.e. Report summary and definitions, Data definitions, etc.).

  • Advanced knowledge of financial services industry and investment products in general, including stocks, bonds, funds, annuities, 401K plans, pension plans.

  • Advanced knowledge of the company, including history, investment resources / team / style / process, and fund offerings.

  • Stay abreast of trends in the business intelligence and analytics measurement / tracking industry and work to integrate best practices.

  • Recommend new processes to improve preparation of performance and management reports and analytics.

  • Proactively seek out opportunities for efficiency gains within team functions and activities.

  • Strong commitment to ensuring team commitments are fulfilled.

  • Help advance the analytic abilities of the team and promote best practices.

  • Enjoy interacting with clients of the team.

  • Manage and develop executive and board level reporting and presentations.

Develop reporting, presentations, and processes to effectively report critical business functions to a sophisticated, high risk – high reward audience . This includes but is not limited to:

  • Design a process to uphold rigorous quality standards and ensure that all executive – level reporting and BOD presentations disseminate accurate, consistent and timely content.

  • Highlight key findings through succinct, compelling storytelling based on rigorous data analysis for executives, Board of Trustees, and Board of Directors.

  • Develop and manage trusted strategic partnerships that allow data to be gathered across the entire firm.

  • Develops reports for management on the overall performance of business segments and develops metrics to measure various characteristics of the business.

  • Effectively manage work flow in a fast paced, highly visible environment.

  • Provide guidance to fellow team members in analytic practices and business knowledge.

  • Provide guidance and shares expertise with all levels of the organization.

Supervise process and production of periodic daily / monthly / quarterly performance and management reports and analyses. This includes but is not limited to:

  • Oversee the maintenance of sales performance data and information systems associated with the collection, retrieval, and usage of sales performance information.

  • Provide Technology and Operations partners with business insight to reproduce complex business models and formulaic methodologies with automated solutions.

  • Broaden and heighten others understanding of data quality, underline the importance of proper data mining tactics and help them build successful testing and measurement initiatives.

  • Develop re-usable processes and methodologies for delivering analytical models in a structured fashion.

  • Administer the maintenance and execution of queries, reports, analyses, and dashboards in various reporting systems.

  • Provide technical expertise, and direction related to analytical projects and reporting procedures.

  • Willing to step in and assist business partners with difficult problems with a positive, solution-oriented attitude.

  • Ability to lead clients through complex data projects/requests from idea to implementation.

  • Ability to pivot, within a task, to new ideas and thought processes as directed by business needs.

  • Assist team manager with mentoring and building the skills of fellow team members.

  • Carry out additional duties as assigned.

Supervisory responsibilities

  • No

Technical skills and qualifications

  • Experience within financial services with an emphasis in Finance / Modeling / Strategy / Marketing / Sales / Business analyses using various analytic techniques (fit-for-purpose statistical analyses, data analysis/data mining, derived variable creation, analytics sandbox experience)

  • Mutual fund industry experience preferred

  • Experience communicating business needs and requirements to Technology and Operations partners

  • User Acceptance Testing experience – creating realistic test scenarios and test scripts, defining exit criteria, designing testing in a fit-for-purpose manner based on business need.

  • Bachelor’s Degree, Postgraduate work or advanced training in Analytics / Information Science / Accounting / Finance / Business Administration / Economics / Marketing or equivalent required

  • Ability to mentor and develop fellow analysts

  • Advance the analytic capabilities of the team

Competencies required

In addition to putting clients first, acting like an owner, and succeeding as a team, the competencies for this role include:

  • Strong interpersonal and customer service skills; puts the client at the center of everything we do

  • Advanced presentation, storytelling, and client relationship management skills

  • Mental, people, change, and results agility skills

  • A track record of innovation, creative problem solving, and ability to thrive in a fast paced, dynamic, growth environment with multiple competing demands

  • Organizational and prioritization skills; ability to negotiate deliverables and deadlines consultatively with clients

  • Demonstrated experience in presenting, collaborating, explaining, and consultatively selling concepts to the client

  • Strong understanding of financial concepts and measures

  • Advanced analytical skills with the ability to accumulate, organize, and assimilate large amounts of information

  • Ability to work independently and make decisions

  • Advanced reporting, analytics, and statistical skills; experience with industry tools including Alteryx, Cognos, Business Objects, MicroStrategy, Power BI,Tableau, Qlik, R, Python, SPSS, SAS

  • Experience with Relational Database (SQL server, Oracle, etc.), cloud data systems (Azure, AWS, Snowflake, etc.), Apache Hadoop, Spark and CRM reporting systems (SalesForce.com, Pardot, etc.)

  • Experience with Machine Learning, AI and working with unstructured data sets preferred.

  • Strong verbal and written communication skills

Ongoing competence in the role to be assessed, in line with applicable regulatory requirements, by:

  • Annual performance appraisal

  • Completion of all assigned compliance training

Compliance requirements

At a minimum the role will require you to:

  • Place the interest of Janus Henderson’s Clients first, act in accordance with TCF (Treating Customers Fairly) principles

  • Understand and follow laws and regulations applicable for your role, seeking the help of your supervising manager or Compliance if additional guidance is required

  • Understand and abide by all Janus Henderson policies applicable to your role, and seek support/guidance of the policy owner guidance when required

  • You are ultimately accountable for your actions and responsible for seeking further information on any or all of the above as necessary

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).

All applicants must be willing to comply with the provisions of Janus Henderson 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. Janus Henderson is an equal opportunity /Affirmative Action 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.

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