Über
We are seeking a
Principal Data & Advanced Analytics Engineer
to help us unlock the next frontier of insight-driven decision making. The ideal candidate combines a passion for solving business problems with data, a deep understanding of
Sales, Marketing, Customer Success, and Product domains , and hands-on expertise in
modern BI and AI/ML technologies . This role goes beyond traditional BI-it includes
developing predictive models, uncovering insights with machine learning , and driving adoption of
AI-powered decision making . You'll use tools like
Python, Snowflake Cortex, and AWS SageMaker , alongside
SQL, Snowflake, and Tableau , to deliver scalable solutions that influence strategy and execution across the enterprise. In this role, you will... Lead with data evangelism
across business functions-Sales, Marketing, Revenue Operations, Customer Success & Support-bringing clarity, insights, and action through storytelling. Design and build
advanced dashboards and analytics pipelines , leveraging AI/ML to solve high-impact business problems. Use
Python, R, and AI/ML frameworks
to build models such as churn prediction, lead scoring, sentiment analysis, and cross-sell/upsell recommendations. Leverage
Snowflake Cortex
for scalable in-database machine learning and
AWS SageMaker
for building and deploying custom ML models. Drive
AI/ML experimentation , including feature engineering, model evaluation, and production deployment, in collaboration with data science and engineering teams. Write efficient, scalable
SQL
to analyze and transform large datasets; build
data marts
in Snowflake to support analytics and machine learning use cases. Mentor junior team members and review work for quality, scalability, and performance. Translate business needs into clear requirements and data products that improve decision-making. Own data quality and governance for your domain; troubleshoot and resolve issues with urgency. Educate business users on how to self-serve using modern data platforms and tools. You have what it takes if you have... Excellent communication skills and experience working cross-functionally with business and IT teams. Proven leadership in
BI, Advanced Analytics, and ML model deployment
in an enterprise setting. 10+ years of experience in data analysis and visualization using
SQL and Tableau
with a strong focus on UI/UX. 5+ years of hands-on
Advanced Analytics/Data Science
experience using
Python and/or R . 2+ years of experience working with
Snowflake , including
Snowflake Cortex or similar ML services . Familiarity with
AWS SageMaker ,
ML Ops pipelines , and deploying ML models at scale. Deep understanding of
data warehousing concepts
and experience building trusted datasets and data products. Strong domain knowledge in
CRM and MarTech applications
(Salesforce, Marketo, Gainsight). Bachelor's degree in Computer Science, Data Science, or equivalent (MBA a plus). Extra dose of awesome if you have... Experience with
dbt ,
Informatica , or
Matillion
for data transformation and orchestration. Tableau Desktop Certified Professional. Experience with
predictive analytics in go-to-market functions
(e.g., campaign attribution, customer lifetime value modeling, lead prioritization). Familiarity with
LLMs, vector databases , or emerging
GenAI
capabilities for enterprise use cases. ]]>
Sprachkenntnisse
- English
Hinweis für Nutzer
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