Dynatrace Logo

Dynatrace

Principal Analytics Engineering Manager

Sorry, this job was removed Sorry, this job was removed at 06:44 p.m. (PST) on Monday, Jun 23, 2025
Remote or Hybrid
Hiring Remotely in Waltham, MA
Remote or Hybrid
Hiring Remotely in Waltham, MA

Similar Jobs at Dynatrace

22 Hours Ago
Remote or Hybrid
Boston, MA, USA
220K-245K Annually
Senior level
220K-245K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead software development activities, oversee Agile Scrum and DEVSecOps processes, drive strategic operations, and mentor global teams to align technology with corporate objectives.
Top Skills: Agile ScrumDevsecopsSaaSSfdc Experience CloudSfdc Sales CloudSfdc Service Cloud
Yesterday
Remote or Hybrid
Boston, MA, USA
Mid level
Mid level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
The Manager of SDR Operations develops strategies, creates content, and optimizes processes to enhance SDR efficiency and pipeline performance.
Top Skills: 6SenseDriftSalesforceSalesloftZoominfo
2 Days Ago
Remote or Hybrid
Boston, MA, USA
150K-190K Annually
Senior level
150K-190K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
The Strategic Enterprise Account Executive manages enterprise sales, focusing on executive-level relationships with existing and prospective clients to maximize revenue and implement effective strategies.
Top Skills: ApmFinanceMarketingSales Engineering
Your role at Dynatrace
We are seeking an experienced and innovative Principal Analytics Engineering Manager to lead the design and development of advanced marketing analytics solutions that empower our marketing efforts. The successful candidate will play a pivotal role in building scalable marketing measurement models, and providing actionable insights that drive marketing strategies. This role is an exceptional opportunity for someone passionate about blending analytics engineering expertise with marketing analytics to make a direct business impact.
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.
Why you will love being a Dynatracer
  • A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly.
  • Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research.
  • A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries.
  • An environment that fosters innovation, enables creative collaboration, and allows you to grow.
  • A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals.
  • A truly international mindset with Dynatracers from different countries & cultures all over the world, and English as the corporate language that connects us all
  • A culture that is being shaped by the diverse personalities, expertise, and backgrounds of our global team.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account