Growth Analyst Job Novi Michigan USA,IT/Tech

Join a strong community where all we do is care-for the children and families we serve every day, as well as for our dedicated team members. Our people are our best asset. We listen and we know what you're looking for:

You want benefits. We support you with a minimum 50% childcare discount, immediate access to benefits, innovative health programs, 401(k) company match, and much more.
You want balance. We offer flexible schedules that work for you, no nights or weekends, the ability to bring your children to work with you, and paid time off.
You want opportunity. We invest in your future with ongoing training, tuition reimbursement, credential assistance, and our unique Master Teacher Program.
You want recognition. We provide a positive, fun workplace where employees are appreciated.

The Growth Analyst is responsible for turning marketing performance data into insight that drives family growth across Learning Care Group's brand portfolio. This role owns Google Analytics 4 platform reporting, funnel measurement from acquisition through enrollment, and the growth data marts that make cross-channel measurement possible. This role ensures that every marketing dollar can be tied to a measurable outcome and that growth decisions are made from evidence, not opinion.

Key Responsibilities:

Own Google Analytics 4 platform administration and reporting across Learning Care Group properties, including event configuration, custom dimensions and metrics, audience building, and cross-domain tracking.

Build and maintain the growth data marts that unify paid, organic, social, and lifecycle performance data into a single view of the family journey.

Design and produce recurring growth reporting on cost-per-registration, cost-per-enrollment, channel efficiency, and funnel conversion across the brand portfolio.

Build cohort, retention, and channel attribution analyses that inform channel investment decisions.

Partner with the Business Intelligence function on data mart schema, metric definitions, and semantic layer decisions to ensure consistency across the enterprise.

Establish and enforce measurement standards across brands, including UTM taxonomy, view-through vs click-through rules, and standard metric definitions.

Support the Sr Director of Paid Media and the Sr Director of Martech, CRM & Lifecycle Marketing with ad hoc analysis and business case support.

Translate analytical findings into narrative recommendations for cross-functional leadership audiences.

Other duties as assigned.

Minimum Qualifications:

A bachelor's degree in marketing, business analytics, statistics, computer science, or a related field is required.

3-5 years of experience in marketing analytics, growth analytics, or a comparable analytical role is required.

Hands‑on experience with Google Analytics 4 platform administration is required, including event configuration, custom dimensions and metrics, and audience building.

Experience with SQL against a modern data warehouse (Big Query, Snowflake, Databricks, or Microsoft Fabric) is required.

Experience building performance dashboards in Looker Studio, Power BI, or Tableau is required.

Experience translating measurement findings into recommendations for marketing leadership is required.

Preferred Qualifications:

5+ years of experience in growth or marketing analytics is preferred.

Experience with modern data stack tools including dbt, Segment, or Hightouch is preferred.

Experience with multi-touch attribution modeling or marketing mix modeling is preferred.

Experience with paid media platforms including Google Ads, Meta, and programmatic display, including reporting APIs, is preferred.

Experience in multi-brand or multi-location consumer businesses is preferred.

Google Analytics Certification is preferred.

Knowledge, Skills and Abilities:

Ability to translate business questions into measurable analytical outputs.

Working knowledge of digital marketing measurement including UTM governance, view-through vs click-through attribution, and cross-domain tracking.

Comfort working with imperfect data and being explicit about what is known versus assumed.

Ability to generate insights from data, develop actionable recommendations, and present to leadership audiences clearly - leading with the finding and supporting with evidence.

Standard analytics stack fluency including SQL, one BI platform, and one modern data warehouse.

Excellent customer service skills with both internal and external customers.

Capable of working with frequent interruptions and changing…