Lead Data Analyst (Marketing Analytics)

Copenhagen, Capital Region
Posted 1 month ago
Data Science

About the role

Job summary

This role focuses on leveraging data to enhance marketing effectiveness and drive growth within the organization. As a Lead Data Analyst in the Marketing Analytics team, you will be responsible for developing sophisticated methodologies to measure marketing impact and provide actionable insights to stakeholders.

Qualifications

  • Proficient in SQL and R or Python, with a strong understanding of regression models and statistical significance.
  • Experience in marketing analytics techniques such as Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), and incrementality testing.
  • Strong collaboration skills and ability to influence stakeholders with data-driven insights.
  • Excellent communication skills, capable of explaining complex concepts to non-technical audiences.
  • Proven experience with BI tools like Looker (LookML) and commitment to data quality.

Responsibilities

  • Own the methodology for measuring marketing effectiveness using MMM, MTA, and lift studies.
  • Conduct advanced data analyses, including cohort analysis and predictive modeling.
  • Collaborate with Marketing Leads to design and analyze A/B and multivariate tests.
  • Develop and scale analytics infrastructure, integrating solutions into the data stack.
  • Create intuitive dashboards in Looker to provide actionable insights.
  • Analyze the sales funnel to identify bottlenecks and opportunities for improvement.
  • Work closely with the data engineering team to ensure robust marketing data pipelines.

Skills

  • Strong technical skills in data analysis and statistical modeling.
  • Strategic thinking in solving marketing-related problems.
  • Ability to communicate insights effectively to various stakeholders.
  • Experience in data storytelling and making data accessible.

Education

  • Relevant degree in Data Science, Statistics, Marketing, or a related field is preferred.

Tools

  • SQL, R/Python, Looker (LookML), BigQuery, dbt, Airflow.
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