Analytics Engineer in Data Collection

This Analytics Engineer role focuses on building and maintaining data pipelines and models to support analytics and reporting. The role requires strong SQL and Python skills, with experience in ETL processes and data warehousing. The engineer will enable data-driven decision-making across the organization.

This Analytics Manager role designs, customizes, and maintains platforms for business analytics and measurement, focusing on data manipulation, visualization, and statistical modeling. The manager applies statistical techniques like regression and significance testing to extract business value from campaign data, using tools like Python, R, SQL, and Google Cloud Platform. The role requires strong coding skills, a quantitative degree, and experience in a digital agency or consulting environment.

This data scientist role supports key data science initiatives, collaborating with senior data scientists to develop and optimize solutions that drive business value. Responsibilities include developing and implementing data science algorithms, designing and executing A/B tests, and using Python and Jupyter notebooks to preprocess and analyze large datasets. Requires 3-10 years of experience, strong Python skills, and familiarity with GCP services like BigQuery, Google Cloud Functions, and Vertex AI.

This role designs, customizes, and maintains analytics and measurement platforms for client campaigns. The manager will apply statistical modeling (regression, classification) and significance testing to extract business value, using Python, R, SQL, and Google Cloud tools. Responsibilities include defining project scope, building client relationships, and automating reporting workflows to deliver actionable insights.

This role takes end-to-end ownership of data modeling, building the 'Source of Truth' for strategic decisions using SQL, dbt, and Python in a CI/CD workflow. The engineer will design production-grade data models, ensure data integrity, and enable AI initiatives by building AI-ready data foundations. Requires 5+ years of analytics engineering experience, expert SQL, and hands-on dbt expertise.

This player-coach Team Manager role leads a team of 3-4 Enterprise Account Executives in EMEA, focusing on expansion revenue from large global customers. The role involves coaching, building account growth strategies, and personally managing a few strategic accounts. Requires 4-5 years of enterprise sales leadership experience, strong coaching ability, and a deep understanding of GenAI's impact on digital marketing.

This Customer Success Manager role on the Inside Sales team manages relationships with SMB customers of the Market Intelligence solution. The role focuses on driving product adoption, securing renewals, and identifying upsell opportunities to grow revenue. Requires 2+ years of commercial account management or sales experience, with strong communication and analytical skills.