Marketing Analytics Strategy Lead

Shield; San Mateo (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical Coverage

Mental Health EAP

Parental Leave

Stock Benefits

401K Match

Flexible Hours

Onsite Gym

Gym Discount

Free Parking

Pet Insurance

Job summary

Shield AI is seeking a Marketing Data & Analytics Strategy Manager to own the data and analytics strategy for the Marketing organization and drive operational execution. You will partner with marketing leadership and cross-functional teams to define data structures, reporting, and how insights inform strategic decisions.

You will own centralized dashboards, translate data into executive narratives, and work with engineers to implement analytics infrastructure using SQL, data modeling, and tools

Qualifications

• Define data and reporting requirements with stakeholders.
• Design how marketing data should be structured, stored and governed.
• Own executive-level cross-functional performance analyses and narratives.
• Partner with MarTech, data engineering and contractors on infrastructure decisions.
• Hands-on fluency in SQL, data modeling, ETL concepts and dashboards.

Responsibilities

• Own the data and analytics strategy for the Marketing organization.
• Define data structures, schemas, and reporting structures for marketing data.
• Design centralized reporting and dashboards across the marketing funnel.
• Synthesize data across channels into clear executive narratives for the C-suite.
• Collaborate with engineers on data pipelines and analytics infrastructure.

Skills

Marketing analytics

SQL

Data modeling

ETL concepts

Executive storytelling

Cross-functional collaboration

Data governance

Dashboarding

Tools

Google BigQuery

Google Analytics

Looker Studio

Tableau

Salesforce

Marketo

Job description

Shield AI is seeking a Marketing Data & Analytics Strategy Manager to own the data and analytics strategy for the Marketing organization and drive operational execution. You will partner with marketing leadership and cross-functional teams to define data structures, reporting, and how insights inform strategic decisions.

You will own centralized dashboards, translate data into executive narratives, and work with engineers to implement analytics infrastructure using SQL, data modeling, and tools