Job Description
Must live in Canada
Pay Rate CAD
Excellent Communicator
The Senior Data Analyst
Reporting to the Senior Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.In this dynamic role, you will partner with product, engineering and program management to ensure that our product is emitting signals that enable us to measure product entitlement, adoption and utilization. You will triangulate product and customer needs with a variety of measurement options to create a set of semantic models that represent product usage for any audience. You will then internally promote the ongoing model development through creative and engaging communications to our stakeholders.An average week will find you planning measurement strategies with product leaders, reviewing engineering plans to capture critical data signals, developing data products that drive success metrics and creating documentation to ensure clarity, consistency and long-term usability. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights across the product unit
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
#Workwolf
Pay Rate CAD
Excellent Communicator
The Senior Data Analyst
Reporting to the Senior Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.In this dynamic role, you will partner with product, engineering and program management to ensure that our product is emitting signals that enable us to measure product entitlement, adoption and utilization. You will triangulate product and customer needs with a variety of measurement options to create a set of semantic models that represent product usage for any audience. You will then internally promote the ongoing model development through creative and engaging communications to our stakeholders.An average week will find you planning measurement strategies with product leaders, reviewing engineering plans to capture critical data signals, developing data products that drive success metrics and creating documentation to ensure clarity, consistency and long-term usability. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights across the product unit
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
#Workwolf
💡 Quick Summary
Seeking a career-building opportunity? The Senior Data Analyst position is now open for candidates interested in the Work from home Jobs sector. This role in Toronto offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.