Data Analytics Manager: Attribution & Customer Journey

Motorola Solutions

Detroit (MI)

Sur place

USD 100 000 - 125 000

Plein temps

Il y a 8 jours

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Avantages offerts par ce poste

Incentive Bonus Plans
Medical, Dental, Vision benefits
401K with Company Match
10 Paid Holidays
Generous Paid Time Off

Résumé du poste

Motorola Solutions seeks a Data Analytics Manager to lead performance tracking across digital customer lifecycle touchpoints and 1:1 Customer Success efforts. This hands-on IC role focuses on measuring the impact of digital touchpoints and human interventions to drive time-to-value, retention, and revenue growth.

You will partner with Campaign Strategy, Product Insights, and CS Ops to deliver data-informed recommendations, build reliable datasets, and create transparent dashboards using

Qualifications

  • 5+ years of experience in data analytics, marketing analytics, or Revenue/CS Operations, including attribution modeling.
  • Hands-on IC with strong business operations background.

Responsabilités

  • Attribution modeling & impact tracing: design and maintain multi-touch attribution models.
  • Campaign feedback & journey optimization: provide data-backed recommendations to refine intervention thresholds and targeting.
  • Data operations & reporting: clean, transform, and unify messy data; build dashboards in Tableau/Looker.

Connaissances

Data analytics
Attribution modeling
SQL
Python/R
Data visualization
Cross-functional collaboration
Communication skills

Outils

Snowflake
BigQuery
Redshift
Tableau
Looker
Power BI
Gainsight
Salesforce
HubSpot

Description du poste

Motorola Solutions seeks a Data Analytics Manager to lead performance tracking across digital customer lifecycle touchpoints and 1:1 Customer Success efforts. This hands-on IC role focuses on measuring the impact of digital touchpoints and human interventions to drive time-to-value, retention, and revenue growth.

You will partner with Campaign Strategy, Product Insights, and CS Ops to deliver data-informed recommendations, build reliable datasets, and create transparent dashboards using

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