Why choose us?
Choosing to work for SMS means choosing to make a difference. We are changing how businesses and consumers use energy for the better, helping achieve a greener, sustainable, and more affordable energy system for everyone. Through our range of innovative energy solutions, we are delivering the future of smart energy – working closely with private and public sector partners we are playing a critical role in transforming and decarbonising the UK economy by 2050.
What's in it for you?
- 25 personal holiday days per year (with additional 8 public holidays) increasing to 30 personal days after 5 years of service (includes options to buy and sell)
- Hybrid working options.
- Enhanced Maternity leave. Paternity and Adoption leave.
- 24/7 free and confidential employee assistance service.
- Medicash health plan offers a wide variety of benefits from cashback on everyday healthcare treatments like optical, dental and physio treatments. Discounted gym memberships and free 24/7 online GP.
- Life Insurance (4 x annual salary)
- Pension matching scheme (up to 5% of salary)
- Developing our people is important to us - we support and encourage development by offering internal and external accredited courses, secondments and study support.
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What's the role?
The Data Analytics Campaign Portfolio Manager is responsible for overseeing the performance, optimisation, and strategic management of the company portfolio using data analytics.
You will be responsible for analysing and interpreting data from campaigns to inform strategy, optimise performance, and maximise outcomes. Their work involves collecting, assessing, and reporting on campaign metrics, ensuring that decisions are data driven
This role combines portfolio management expertise with advanced data analytics to drive investment decisions, optimise asset allocation, and improve portfolio returns. The ideal candidate will leverage data-driven insights to assess risk, identify opportunities, and support overall portfolio growth.
This position requires a unique blend of financial acumen, data science skills, and strategic vision to drive the company’s success in achieving both short- and long-term portfolio objectives.
Key Responsibilities:
The key responsibilities of this role include, but are not limited to, the following;
- Lead the development and execution of portfolio strategies by analysing our current portfolio, market trends, and economic data.
- Utilise data analytics to optimise portfolio performance and inform decision-making related to operational performance.
- Apply advanced analytics to provide deep insights into portfolio performance, customer behaviour, and asset correlations.
- Use predictive modelling and statistical techniques to forecast portfolio outcomes and identify growth opportunities.
- Develop risk models to assess and manage portfolio risks, ensuring alignment with the company’s risk appetite.
- Continuously monitor portfolio exposure, mitigate potential risks, and adjust strategies based on changing market conditions.
- Track and report on portfolio performance using key metrics such as ROI, risk-adjusted returns, and diversification metrics.
- Create and maintain dashboards and visualizations to communicate portfolio performance to senior leadership and stakeholders.
- Analyse portfolio composition regularly to identify underperforming segments and opportunities to reallocate resources for better returns.
- Manage and adjust supplier portfolio
To be considered for this role, we would love you to have:
- Significant experience in portfolio management, investment analytics, or financial data analysis.
- Strong proficiency in data analytics and modelling tools such as Python, R, SQL, Tableau, or Power BI.
- Proven ability to build and interpret complex data models and risk management frameworks.
- Strong problem-solving skills with a track record of using data to drive decisions.
- Excellent communication and presentation skills, with the ability to convey complex financial information to a wide range of stakeholders.
- Knowledge of machine learning techniques and predictive modelling in portfolio optimisation.
- Experience with alternative data sources and advanced algorithms for portfolio insights.
This role is offered on a hybrid working basis. All of our roles are based on 40 hours per week, with a 30 minute unpaid break for lunch.
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