Director, Marketing Analytics and Technology

EcoVadis Logo

EcoVadis

πŸ“Remote - Poland

Summary

Join EcoVadis as a leader in marketing analytics and play a key role in transforming the marketing function into a data-driven organization. You will orchestrate functional requirements for marketing workflows, lead campaign operations, and proactively ensure the marketing technology stack functions optimally. Responsibilities include partnering with other teams, monitoring lead routing, driving experimental design and analysis, and developing data-driven insights and reports. You will be responsible for bridging the gap between tech and marketing teams, gathering business requirements, and enabling delivery. This role requires an advanced degree in a quantitative field, 10+ years of experience in data analytics, strong communication skills, and expert proficiency with SQL. The position offers flexible working hours, wellness allowances, professional development opportunities, and a hybrid/remote work option.

Requirements

  • An advanced degree (Master's or PhD) in Math, Physics, Statistics, Economics, Computer Science, or similar domain
  • 10+ years of experience in data analytics, consulting, or related quantitative role
  • Very strong communication skills. Able to effectively communicate in a clear and concise manner to various levels from early career staff to SVP level. Skilled at presenting data findings to non-technical stakeholders clearly and effectively
  • Ability to align analytics with strategic business goals and to influence decision-making with data-driven recommendations
  • Expert proficiency with SQL
  • Experience with web and app analytics platforms like GA4, Hubspot, LinkedIn, Salesforce is a must
  • Experience with data visualization software like Tableau, Looker Studio

Responsibilities

  • Orchestrate functional requirements for workflows within and between key systems in the Marketing tech stack (Hubspot, Salesforce, Pardot, Google analytics, ZoomInfo, Highspot, Workato, etc)
  • Lead marketing campaign operations and provide functional requirements for new technology implementations, supporting customer acquisition, expansion, and retention
  • Proactively ensure that everything in our MarTech stack is working as it should be, owning and maintaining the functional side of technology (definition of processes, requirements) foundation that delivers an exceptional experience for our customers and supports our marketing goals
  • Partner with Revops and Enterprise Architecture team on activities such as database hygiene and maintenance, enrichment, intent, etc
  • Monitor lead routing accuracy, key data points populating correctly, and ensuring lead recipients are following the prescribed processes
  • Drive experimental design and analysis around new marketing signals, incrementally testing, and evaluating vendors to support inbound and outbound efforts
  • Be an expert on our marketing data. You will understand the intricacies of our ad platforms, website, campaigns, and the various programs we use and marry them together to produce a cohesive and actionable view into Marketing performance
  • Develop dashboards and reporting for website traffic, paid channels, digital performance, and other Marketing investments
  • Create reports and dashboards for Marketing programs and channels (paid search, paid social, display, webinars, events, content syndication, etc.), you will provide key trends and insights to the team
  • Use quantitative and qualitative insights to inform growth strategy, roadmap, and prioritization for the Marketing team
  • Track program results, measure success and report metrics to stakeholders across the business
  • Act as the bridge between tech and marketing teams. Gather marketing business requirements and enable delivery

Preferred Qualifications

  • Experience Python and/or R
  • Prior experience working with Media Mix Modeling, Multi-touch Attribution, machine learning implementations, causal inference, time series modeling, LTV calculations and segmentation, time series analyses, regression models

Benefits

  • Support with all the necessary office and IT equipment
  • Flexible working hours
  • Wellness allowance for mental and physical wellbeing
  • Access to professional mental health support
  • Referral bonus policy
  • Learning and development
  • Sustainability events and community involvement
  • Peer recognition program
  • Employee-led resource groups
  • Optional (fully covered or co-financed) health care and life insurance
  • Multisport card
  • Multikafeteria
  • Lunch card
  • Hybrid (4 days in office per month) / full remote work
  • Remote work from abroad policy
  • Internet and Electricity bill allowance
  • Additional day for community service when volunteering

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