Lead Data Analyst (Marketing Analytics, Remote)

Copenhagen
Posted 2 days, 8 hours ago
Data Science

About the role

Job summary

This role focuses on leveraging data to enhance marketing effectiveness and drive growth. The Lead Data Analyst will work within the Go-To-Market Analytics team, utilizing advanced analytical techniques to provide insights that inform marketing strategies.

Qualifications

  • Proficient in SQL and R or Python, with a strong grasp of regression models and statistical significance.
  • Experience in Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), and incrementality testing.
  • Excellent collaboration skills and ability to influence stakeholders with data-driven insights.
  • Strong communication skills to convey complex statistical concepts to non-technical audiences.
  • Familiarity with Looker (LookML) or similar BI tools, focusing on data accessibility.
  • Commitment to data quality and experience with modern data stacks (e.g., BigQuery, dbt, Airflow).

Responsibilities

  • Develop and own methodologies for measuring marketing effectiveness through sophisticated analytics.
  • Conduct complex analyses, including cohort analysis and customer segmentation, to identify growth opportunities.
  • Collaborate with marketing teams to design and analyze A/B and multivariate tests.
  • Support the scaling of analytics infrastructure by developing solutions in R/Python.
  • Provide actionable insights to stakeholders to enhance marketing optimization.
  • Create intuitive dashboards in Looker that deliver actionable insights.
  • Analyze the sales funnel to identify bottlenecks and improve lead generation and conversion rates.
  • Work with data engineering teams to ensure robust marketing data pipelines.

Skills

  • Strong analytical and statistical skills.
  • Experience with marketing analytics methodologies.
  • Ability to communicate effectively with diverse audiences.
  • Proficient in data visualization and storytelling.

Education

  • Relevant degree in a quantitative field or equivalent experience.

Tools

  • SQL, R, Python, Looker, BigQuery, dbt, Airflow.
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