Principal Analytics Engineering Manager
Full time @Dynatrace posted 3 days ago in Information Technology (IT) Shortlist Email JobJob Detail
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Job ID 23486
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Experience 2 Years
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Qualifications Degree Bachelor
Job Description
“Key Responsibilities:
Measurement Modeling: Design and develop scalable, reliable, and efficient marketing measurement models that support marketing analytics and reporting needs. Partner with our central business intelligence team to build and maintain the models.
Marketing Data Integration: Lead efforts to integrate data from various marketing tools (e.g., CRM platform, Marketing automation platform, Marketing attribution platform, Social media channels, Digital analytics platforms, etc.) into our centralized data platforms in partnership with our central business intelligence and architecture teams.
Marketing Analytics Enablement: Collaborate with marketing and analytics teams to provide clean, structured, and timely data that drives insights and decision-making.
Tool Development: Build custom tools and workflows for marketing teams to improve data accessibility and self-service capabilities.
Data Governance: Establish and enforce best practices for data quality, integrity, and security within marketing that align with the organization’s compliance requirements including data cataloging and documentation.
Collaboration & Leadership: Act as the primary point of contact for marketing data platform-related initiatives, effectively communicating with stakeholders across various teams and at all levels of the organization. Provide data leadership and influence other members of the analytics teams across the company on good data and measurement practices.
What will help you succeed
Minimum Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
Experience: 8+ years of experience in data engineering, with at least 3 years focusing on B2B marketing or B2B sales related data.
Advanced knowledge of SQL and Snowflake or similar data warehousing platforms (e.g., Redshift, or BigQuery).
Strong knowledge in building and analyzing marketing attribution models and customer segmentation.
Strong experience working with data from Salesforce, Marketo and other marketing platforms (Google Ads, LinkedIn Ads, 6sense).
Hands-on experience with Alteryx, dbt or similar data transformation and ETL/ELT tools.
Experience working with Power BI or similar BI tools (e.g. Tableau or Looker).
Preferred Qualifications:
Understanding of machine learning and predictive analytics models in a marketing context.
Experience in programming languages such as Python and R
Familiarity with data privacy regulations like GDPR, CCPA, etc.
Experience applying LLM/generative AI models
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and their data solutions.
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Required skills
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