Commercial Operations Analyst

Position Summary: The Commercial Operations Analyst will play a pivotal role in optimising our commercial processes and surface key data points through automation. This position involves collaborating with cross-functional teams to enhance operational efficiency and support the achievement of commercial objectives. The ideal candidate will have a strong foundation in data analysis, with proficiency in Python and SQL, along with at least 2-3+ years  of relevant experience, including building dashboards using key BI tools. These dashboards will empower commercial teams, aid in identifying new market entrants, and automate existing manual processes.

Key Responsibilities:

• Analyse sales and revenue data to provide insights that inform strategic decisions and drive revenue growth.
• Develop interactive dashboards using BI tools (e.g.,Analytics Studio,  Tableau, Power BI) that provide real-time visibility into key performance metrics, enabling commercial teams to make data-driven decisions and optimise their strategies.
• Proactively identify new market entrants through automated data mapping with our existing databases by analysing additional market data.
• Assist in developing and implementing strategies to streamline commercial operations and improve customer engagement through data-backed insights.
• Drive automation of existing manual processes to increase operational efficiency and accuracy.
• Ensure accurate sales tracking in your primary markets and support group wide where required

• Utilise Python and SQL to extract, transform, and analyse data from various sources, providing actionable insights for optimising commercial processes.
• Create dashboards that not only visualise key performance metrics and trends but also provide predictive analytics, helping commercial teams anticipate market shifts and respond effectively.
• Ensure data accuracy and integrity through rigorous data validation and cleansing processes.
• Monitor sales team performance and assess the effectiveness of sales strategies and campaigns.
• Develop and maintain automated sales forecasting models to support accurate planning and resource allocation.
• Collaborate with data, commercial strategy, and business analysis teams in sharing ideas and approaches in key tasks.

Requirements:

• Bachelor's degree in Business, Economics, Data Science, Statistics or a related field.
• 2- 3 + years of experience in a similar commercial or data analysis role, consultancy background a plus.
• Proficiency in Python for data analysis, manipulation, and visualisation.
• Strong understanding of SQL for data querying and manipulation.
• Experience in building dashboards for commercial use using BI tools (e.g., Analytics Studio, Tableau, Power BI).
• Solid analytical and problem-solving skills with a keen attention to detail.
• Excellent communication skills to present insights to both technical and non-technical stakeholders.
• Ability to manage multiple tasks and projects while maintaining accuracy and meeting deadlines.
• Strong business acumen and the ability to translate data insights into actionable recommendations.

Last updated on Feb 28, 2024