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Description
Job Description PM5 - Senior Manager, Data Analytics We are seeking a highly analytical and strategic Senior Manager, Marketing Analytics to lead our marketing analytics team and drive data-informed decision-making. This role will be responsible for developing and implementing analytics strategies that measure and optimize marketing performance across multiple channels, including paid media, content marketing, email, and SEO. The ideal candidate will have a deep understanding of B2B SaaS marketing metrics, data visualization, and statistical modelling, as well as experience collaborating cross-functionally with marketing, sales, product, and finance teams. Key Responsibilities: Develop and lead the marketing analytics strategy for demand generation to measure marketing effectiveness, customer acquisition, and ROI across all channels. Build, maintain, and optimize dashboards and reports to track KPIs, providing actionable insights for marketing and leadership teams. Analyze campaign performance, marketing funnel efficiency, and customer lifecycle metrics to drive data-driven recommendations. Partner with marketing, sales, and finance to forecast marketing impact, revenue contributions, and customer retention trends. Utilize statistical modelling, attribution analysis, and A/B testing to optimize marketing spend and campaign performance. Manage data pipelines and collaborate with data engineering teams to ensure accurate data collection and integration across platforms (e.g., Google Analytics, CRM, Marketing Automation platform, PowerBI, Looker). Identify trends, opportunities, and risks in marketing performance, presenting findings to key stakeholders. Develop segmentation strategies and customer journey analyses to improve lead conversion and customer engagement. Mentor and manage a team of marketing analysts, fostering a culture of curiosity, innovation, and continuous improvement. Qualifications 8+ years of experience in marketing analytics, preferably in a B2B SaaS environment. Master s degree in Marketing, Business Analytics, Data Science, Statistics, or a related field. Expertise in marketing performance measurement, data modeling, and attribution methodologies. Proficiency with analytics tools such as Google Analytics, SQL, Python, R, Tableau, Looker, or other BI platforms. Strong understanding of marketing automation and CRM platforms (e.g., Marketo, HubSpot, Salesforce). Experience with A/B testing, cohort analysis, and customer segmentation techniques. Excellent problem-solving skills with the ability to translate complex data into actionable insights. Strong leadership and team management experience. Ability to communicate effectively with both technical and non-technical stakeholders. Highly organized with strong project management skills and the ability to work in a fast-paced environment.
