Responsibilities

1. Data Analysis and Interpretation: Assemble, clean, and preprocess large datasets from various sources including sales transactions, client interactions, and marketing campaigns. Work with data engineers and data scientists to conduct exploratory data analyses to extract meaningful information. Distil findings into relevant and actionable insights. 2. Predictive Modelling: Develop, refine, and optimize predictive models to forecast sales trends, client turnover, and campaign oues. Implement machine learning algorithms such as regression, classification, and clustering to build accurate and insightful models. 3. Marketing Optimisation: Collaborate with marketing teams to design and effectively evaluate marketing campaigns. Provide rmendations for optimizing marketing spend, targeting, and messaging to maximise impact. 4. Sales Enablement: Support sales teams by providing insights into client preferences, buying and research behaviour, and product demand. Identify cross-selling and upselling opportunities based on client segmentation, and predictive channel and client type analytics. 5. Data Visualisation and Reporting: Create visually engaging dashboards and reports tomunicate key findings and insights to stakeholders. Present findings and rmendations to senior management and other relevant teams in a clear and understandable manner.Desired Skills / ExperienceKnowledge of SQL and R/Python essential. Knowledge of PowerBI and/or Tableau highly desirable. Knowledge and experience of Data Science Python Libraries including: Pandas, NumPy, SciPy, StatsModels, scikit-learn, Plotly, and Matplotlib. Previous experience or knowledge of handling large datasets and working with data stored within databases. Understand the model build lifecycle, including feature selection and optimisation, model selection and validation, and ongoing model maintenance. Experience working within, or in close collaboration with, sales, marketing, and/or CRM teams. Knowledge and/or interest in the investment management industry essential. Strong team player, whilst also able to work independently as required and take ownership of projects. Technology enthusiast, intellectually curious and a problem solver. Ability to work under time pressure, give realistic estimates, and work to deadlines. Strong written and verbalmunication skills. Knowledge and experience with Azure, Snowflake, and/or Databricks a plus.Additional Role DetailsThis role is subject to the Conduct Rules set by the FCA. Don't meet every requirement? At Jupiter we are dedicated to building a diverse and inclusive workplace, so if you are interested in this role, but don't think your experience aligns perfectly with every listed requirement in the job description, we would encourage you to apply. You may be the right person for this role.
Job ID JR303