Lead BI Analyst

Job Description:
A Business Intelligence Manager is responsible for handling the Product Analytics needs of a release train. This includes consulting with stakeholders, understanding their products and then leveraging analytics skills and tools to make product recommendations. They are skilled at designing an analysis in response to customer needs and then producing and delivering that analysis. This person must be able to work independently as the analytics resource for internal stakeholders. A strong candidate proactively identifies opportunities beyond what stakeholders have asked for, closing the product lifecycle loop by surfacing insights that drive new ideation and optimization strategies.
The Business Intelligence Manager also serves as a technical advisor within an analytics team. They should feel comfortable consulting with teammates on technical problems and helping teach new skills when necessary. Successful Business Intelligence Managers are also adept communicators, using storytelling to convey analytics findings and make a recommendation. 

• Partnership with other teams
• Collaborate and support cross-functional teams within the organization to make data-driven business decisions aimed at growth / business optimization.
• Support throughout product development lifecycle
• Support product ideation and discovery research and analyses that estimate potential opportunities and guide priorities/focused areas. Work with stakeholders and Experimentation Team to formulate Experiment Plan with proper Success Metrics by applying Experimentation best practices, perform test analyses with statistical testing.
• Proactively identify and recommend opportunities that may not be considered by Product teams, including forward-looking insights that go beyond historical trends to inform future optimization strategies.
• Provide proper analytics requirements, validate tagging specifications, and perform data validation UAT to ensure data capture will support downstream analyses needed to generate the types of insights useful for product and business decisions. Support the maintenance of analytics implementation and accuracy of digital analytics data capture.
• Post-launch performance monitoring of the health of the  products and its businesses, proactively work with stakeholders to establish requirements for recurring and ad-hoc analytics support, including reporting, analyses, actionable insights, and recommendations to drive growth.
• Collaborate with Reporting Team on automating recurring reports on key KPIs, leveraging them to guide custom analyses for deeper insights by applying advanced analytics methodologies to our online user behavioural and related business data.
• Review results and findings
• Present analysis results in a cohesive insights story with key takeaways, so that non-analytics stakeholders can walk away with a clear understanding of the “so-whats”. Work with Manager to develop recommendations on business decisions/actions based on findings.
• Review results with various levels of internal and external audiences in a concise and storytelling manner.
• Learning new technologies
• Must be able to learn and use analytics and other relevant technologies (e.g. Web analytics tool, SQL-based databases, data visualization software, etc.). Must be able to work directly with vendors to resolve issues

 
Project Involvement

• Supports Analytics Leads or other leaders for company initiatives/projects to help drive execution according to project milestones and timelines.
• Level of Manager oversight in performing responsibilities
• Able to perform the duties above working closely with Manager or under the guidance of analytics or stakeholder leaders.
• Works with Manager and direct line of leadership to define priorities, must be able to deliver against business goals working both independently and collaboratively with cross-functional teams.
• Data Pipeline Maintenance
• Build and maintain data pipelines, data assets, dashboards and reports
• Other duties as needed or required

 
Travel

• Must be able to travel by land and/or air for same-day or overnight trips (up to 5%)

 
What are your top 3-5 MUST HAVEs OR REQUIRED skillset:

• SQL
• Power BI
• Data Storytelling
• Stakeholder management and Relationship Building
• Web Analytics tools