Senior Marketing Manager, Canada
Constant ContactFull Time
Senior (5 to 8 years)
Candidates should have at least 3 years of SQL experience, 1 year of JavaScript experience, and 1 year of data visualization experience with tools like Tableau, Looker, Mode Analytics, or Sisense. Experience with ETL/data engineering, data warehouses such as BigQuery or Snowflake, and familiarity with Salesforce, BigQuery, DBT, and Zendesk are also required. Experience in a Sales or GTM organization, with knowledge of common sales models, is necessary. Bonus points are given for experience with Grafana visualization, consumption modeling financial metrics, production model development, and proficiency in Python/Spark/Scala.
The Analytics Manager will develop reliable and scalable dashboarding, tooling, and reporting for sales and operational teams. They will create repeatable models for Go-To-Market planning and performance assessment, and partner cross-functionally to identify growth opportunities. Responsibilities include optimizing information design within the GTM technology stack, preparing analysis and insights for senior leadership, defining data models for system integrations, and managing ad hoc data analysis and QA support requests.
Observability and monitoring solutions provider
Grafana Labs specializes in observability and monitoring solutions for cloud infrastructure and applications. Its main product, Grafana, is an open-source metrics dashboard that allows users to visualize and analyze data from various sources. This helps businesses monitor the performance and health of their systems in real-time. Grafana Labs serves a wide range of clients, including large enterprises and individual developers, particularly in sectors like technology, finance, healthcare, and retail. Unlike many competitors, Grafana Labs offers both open-source and commercial products, generating revenue through premium features, enterprise support, and managed cloud services. The company's goal is to provide essential tools for monitoring and visualizing data, ensuring that digital services are reliable and efficient.