Senior Manager, Marketing Analytics Engineering

Job Description

• Lead an analytics engineering function that provides core reporting for marketing leaders globally. You will own the team’s data from end-to-end, including data import/export (in partnership with the Data Engineering team), transformation, and visualization • Continue to develop a team of successful and high-impact analytics engineers by coaching them on both technical and non-technical skills. This could range from engineering and data architecture best practices, to stakeholder management, to effective verbal and written communication • Understand business context and translate stakeholder needs into ETL and dashboard requirements, and own the team’s monthly and quarterly roadmaps. You will work closely with go-to-market teams (e.g. media, lifecycle) as well as 'horizontal' teams like Demand Forecasting and Insights, Marketing Technology, and Enterprise Data • Design new data architecture, and revamp existing data architecture, to ensure best-in-class operational reliability, pipeline efficiency, data quality, and architectural modularity. You’ll work with the team on identifying data discrepancies, paying down tech debt, monitoring daily job execution, and diagnosing and fixing issues to ensure SLAs are met with internal partners

Qualifications

• 6-8 years of working experience in an analytics engineering, business intelligence, data engineering, or technical data analytics role supporting marketing or sales organizations - of which 1-3 years is in a leadership/people manager capacity • Expertise in SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, and BigQuery, as well as use of OSX command line and version control software (git). Plus: Knowledge of AWS ecosystem/CLI and data ingestion tools (e.g. Fivetran, Stitch) • Serious plus: Experience working directly with data feeds from platforms used by marketing teams (e.g. Segment, Google, Meta, AppsFlyer, SendGrid, Braze) • Experience with building Looker data models, as well as data pipeline management technologies with dependency checking (e.g. Airflow, dbt), schema design, and dimensional data modeling • Ability to use tools, business intuition, and impeccable attention to detail for data validation and QA • Excellent communication skills, especially when distilling technical or complex matters into clear and concise explanations for senior leaders and less technical partners • A high degree of motivation to be proactive and go above and beyond the task at hand • BS degree in Engineering, Computer Science, Math or a related technical field

Benefits

• Medical, dental and vision insurance • Generous paid time off policy • Short-term and long-term disability • Access to mental health services • 401k, tuition reimbursement and student loan paydown plans • Employee Stock Purchase Plan • Fertility and adoption support and up to 18 weeks of paid parental leave • Child care and family care discounts • Free access to Peloton Digital App and apparel and product discounts • Commuter benefits and Citi Bike Discount • Pet insurance and so much more!