Senior Manager, Analytics

Job Description

In this role, you will be responsible for leading a team which automates and extracts trends from our channel performance datasets and transforms them into data products, performance insights, and actionable strategies that improve our channel performance. You will use analytical thinking and deep knowledge of data to turn complex trends into compelling narratives and recommendations for channel operations. Acting as a key source of truth for all channel performance data-related matters within Marketing Analytics, you will guide the consumption of our in-house measurement to inform marketing partners and shape business decisions. Data Analysis & Insights: Support a large network of stakeholders by analysing attribution and channel operations data to generate insights and explanations for performance trends. Inform the business clearly of the commercial implications of performance changes. Self-Service Enablement: Develop and deliver self-service analytics products for a wide variety of stakeholders to increase the accessibility, speed and simplicity of transforming data trends into commercial insights. Data Quality Investigations: Employ logical thinking and root-cause analysis to distinguish changes in customer behaviour from underlying data quality. Act as the subject matter expert for datasets powering our channel measurement. Project management: Balance the delivery long-term roadmap deliverables against ad-hoc and high urgency investigations. Identify opportunities to proactively anticipate requests for support. Stakeholder partnership: Partnering closely with Channel Teams, Finance, and Data Engineering, you will act as the expert mediator between our channel measurement data and the teams that rely on them to understand commercial performance. Experience & Qualifications: PhD, Masters or Bachelors (pref for Mathematics or Scientific degree) with 4-7 years work experience OR 7+ years of experience in a comparable data analytics role with relevant experience 2-4 years of managing marketing analytical teams Managed or mentored at least 1 Data Scientist I or Data Scientist II Strong SQL skills; demonstrated experience of using PySpark / Python to structure, transform and visualize big data, and a willingness to learn new frameworks and languages required for the task Deep logical thinking and experience in distilling crisp insights from highly complex datasets. Experience with designing, delivering, and maintaining data visualisations products through tools like Tableau and Power BI. Experience partnering with other teams and disciplines (Finance, Channels, Engineering, etc) and collaborating with other analytics teams to deliver projects.