About the position
We're looking for a Director, Data Analytics to help us establish and scale a high performing data-driven analyst team. As the leader of the Data Analytics team, you will work closely with key business and product stakeholders across the organization to help inform roadmaps and strategic decisions based on insights derived from data repositories and integrated systems. You'll be the subject matter expert when it comes to quantifying and building visibility to the potential impact of initiatives and advising how to measure results and prioritize efforts and resources. While working remotely or in a hybrid work arrangement, a blend of virtual (in accordance with Hootsuite's distributed workforce strategy), and in Hootsuite's Vancouver, Toronto or Atlanta office, you will report to the CFO. In this role, you will manage, mentor, and develop a team of highly skilled embedded business & product analysts and data engineers, supporting all areas of Hootsuite. You will perform the full scope of people management responsibilities including selection, coaching, mentoring, development, performance management, and DE&I. You will drive the vision for business & product analytics to ensure we are always learning and improving through shared best practices and a data analytics "center of excellence". Your responsibilities will include delivering data-driven recommendations and insights in a clear and concise way to all levels, including C-Suite stakeholders, across all areas of the organization that contribute to the analysis for strategic leadership priorities. You will explore, define, and standardize our business and product KPIs and metrics and provide efficient and meaningful reporting capabilities across the organization. Additionally, you will build our capabilities and process maturity to improve the integrity and quality of our data assets through data stewardship, validation, and monitoring of our most critical operational reporting. You will lead the work to build and scale user growth models that drive and inform predictive user growth and develop and evolve impact frameworks to help Product Managers prioritize product releases based on impact. Furthermore, you will provide guidance around A/B testing measurement to ensure results are reliable, valid, and accurate. As an organizational advocate for data governance, you will partner with Legal & Privacy, Information Security, and other teams within the organization tasked to uphold data compliance and integrity. You will collaborate closely with the FinOps teams to develop reporting and data strategies and with the data engineering team (DataTech) to ensure alignment on evolving the data maturity of our most operational data assets. Your role will also involve advising stakeholders across the company on how to best leverage business and product data in their own analysis and workflows, leading the development of standardized data assets within the data warehouse to help consolidate the collective understanding of our organizational data, and ensuring the effective ownership of business and product analysis tools and the technology stacks while continuously looking for ways to improve our toolsets and data analysis. Lastly, you will foster a community across departments on improving data literacy in our business and product data assets.
Responsibilities
- Manage, mentor, and develop a team of highly skilled embedded business & product analysts and data engineers.
- Perform full scope of people management responsibilities including selection, coaching, mentoring, development, performance management and DE&I.
- Drive the vision for business & product analytics to ensure continuous learning and improvement through shared best practices.
- Deliver data-driven recommendations and insights to all levels, including C-Suite stakeholders.
- Explore, define and standardize business and product KPIs and metrics, providing efficient reporting capabilities.
- Build capabilities and process maturity to improve integrity and quality of data assets through data stewardship.
- Lead the work to build and scale user growth models that drive predictive user growth.
- Develop and evolve impact frameworks to help Product Managers prioritize product releases based on impact.
- Provide guidance around A/B testing measurement to ensure reliable and valid results.
- Advocate for data governance and partner with Legal & Privacy, Information Security, and other teams to uphold data compliance.
- Collaborate closely with FinOps teams to develop reporting and data strategies.
- Collaborate with the data engineering team to ensure alignment on evolving data maturity of operational data assets.
- Advise stakeholders on leveraging business and product data in their analysis and workflows.
- Lead the development of standardized data assets within the data warehouse.
- Ensure effective ownership of business and product analysis tools and continuously improve toolsets and data analysis.
- Foster a community across departments to improve data literacy.
Requirements
- Advanced level of experience leading data analytics teams, preferably in a SaaS business model.
- Post-secondary degree in computer science, business, engineering, MBA or similar is an asset.
- Strong knowledge and technical skills using common data management tools (e.g. Excel, SQL, R/Python, AWS Redshift, Tableau).
- Experience with Product event data analysis tools (Mixpanel, Interana, Amplitude or similar) and data visualization tools such as Tableau.
- Proven experience working with Product, Development, Technology and Business teams to deliver customer-facing value in a fast-paced environment.
- Data Management and Infrastructure experience including quality control and assurance.
- Experience working in an Agile environment.
- Collaboration and Teamwork: works with others to deliver results, prioritizing group needs over individual needs.
- Commitment to Results: consistently achieves results and challenges self and others to deliver results.
- Creativity and Innovation: seeks new and better ways of doing things, generating original ideas.
- Decision Making: consistently chooses the best course of action to address business problems.
- Open Communication: clearly conveys thoughts and listens attentively.
- Process/Project Management: skilled at managing processes and timelines to accomplish work.
Nice-to-haves
- Experience in a leadership role within a data analytics team.
- Familiarity with data governance frameworks and best practices.
- Experience in developing training programs for data literacy.
Benefits
- Flexible work arrangements (remote or hybrid).
- Professional development opportunities.
- Health and wellness programs.
- Diversity, Equity, and Inclusion initiatives.
