Senior Data Analyst at Teema
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

07 Jul, 25

Salary

0.0

Posted On

07 Apr, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Adobe Analytics, Google Analytics, Tableau, Data Engineering, Looker, Emotional Intelligence, Business Requirements, Data Analytics, Cloud, Instrumentation, Technical Documentation, Snowflake, Dbt, Authentication, Business Acumen, Modeling, Product Management, Python

Industry

Information Technology/IT

Description

DESCRIPTION

  • Partner with peers in product, engineering and program management to develop scalable measurement strategies for our products and services
  • Drive scalable, semantic data models that can reach stakeholders both inside of company and across the enterprise
  • Educate and enlighten data stakeholders with newly available objects and models that will unlock product and business insights
  • Form deep knowledge of a single product domain while exerting influence over other product domains
  • Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Incidents, Developers, Quality, etc.)
  • Deliver executive dashboards and product insights based on foundational productionalized data models
  • Partner with other analysts to create composite measures and insights that span the product unit
  • Ensure that data privacy and governance is a first priority at all stages of the data lifecycle

REQUIREMENTS

  • 5+ years of experience in data management, data engineering, data analytics, product management or a similar background
  • 5+ years of hands on experience with data visualization tools (Tableau, Looker, PowerBI, etc)
  • 2+ years of SQL experience
  • Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
  • Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
  • Excellent business acumen and emotional intelligence in ambiguous environments
    And extra credit if you have experience in any of the following!
    Third party web analytics tools (Heap, Google Analytics, Adobe Analytics, etc.)
    Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
    Data engineering (Python, dbt, Kafka, Parquet, Fivetran, Hightouch, etc.)
    Paywall, subscription or authentication based products

    Workwol

Responsibilities

Please refer the Job description for details

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