Sr. Data & Analytics Manager

The Sr. Data & Analytics Manager will lead a growing team, enabling insights that support business initiatives and drive strategic decision-making.

The ideal candidate will possess a robust background in data analysis, modeling, and visualization, along with hands-on experience in modern data platforms.

They will champion the adoption of data governance, automation, and advanced analytics across the business, identifying trends and supporting data-driven decisions.

This role will be pivotal in the continuous improvement of our current Business Intelligence solutions, currently utilizing MS SQL Server and Power BI, while also leading the transition to a future Enterprise Data Warehouse platform, leveraging Azure.

The candidate will be hands-on, supporting day-to-day deliverables and driving the vision for the new platform, ensuring it meets the evolving needs of the organization and supports scalable, efficient data operations and integrations.

What you will be doing

• Project Initiation / Management
• Develop and maintain strong relationships with business stakeholders globally.
• Gather and document both technical and non-technical requirements.
• Present plans, progress, and deliverables to C-suite executives, board members, and external partners.
• Transform requirements into agile projects that deliver measurable benefits quickly.
• Balance short-term ad-hoc / support requests with long-term strategic projects.
• Advocate for data governance, data security, and data-driven decision-making across the organization.
• Drive initiatives to improve data quality, resulting in downstream benefits.
• Identify and suggest actions to address operational inefficiencies.
• Data & Analytics Leadership
• Assess the current data and analytics landscape within the business.
• Identify opportunities to leverage data for improved business performance and customer experience.
• Analyze raw data and source system data models.
• Establish quality assurance processes to identify and resolve data issues at their source.
• Design and structure dashboards, reports, and KPIs for ease of use and navigation.
• Develop and maintain Power BI reports to meet business needs and support decision-making.
• Monitor and enhance user adoption of data deliverables.
• Ensure proper governance of code (version control) and data (visibility of sensitive data, GDPR compliance).
• Maintain comprehensive documentation, including data dictionaries and data models.
• Drive the design, development, and implementation of the enterprise data warehouse solution on Azure.
• Partnering with our security teams to implement robust data security measures to protect sensitive information and ensure compliance with industry standards.
• Team Leadership
• Implement robust project management practices and tools for tracking and reporting.
• Lead and mentor a small, skilled team of engineers and analysts.
• Manage a hybrid working model, delivering projects across continents.
• Foster a culture of innovation and excellence within the team.

What we will require of you

• 5-8 years of experience in data manipulation, analysis, and presentation.
• 3-5 years of experience leading a technical team in a flat / matrix management structure.
• Proven experience in creating and implementing a data / analytics strategy over several years.
• Experience delivering structured suites of reports to diverse user groups with proper governance of sensitive data (e.g.

row-level security).

• Skilled in designing and delivering dashboards and reports using Power BI.
• Strong knowledge of data modeling, ETL best practices, and data warehousing concepts.
• Mastery of SQL
• Experience integrating data from multiple, loosely connected systems.
• Hands-on experience with Azure services, including Azure Data Factory, Power Platform, and Dataflows.
• Experience in building and managing data warehouses.

What we will love about you

• Knowledge of subscription-based business models and KPIs.
• Familiarity with new sales and renewal business processes.
• Awareness of data / analytics tools and industry trends.
• Understanding of API integrations in data ecosystems.

In addition, we hope you will appreciate :

• Rest and relaxation : Open Paid Time Off (OPTO) program for vacation, personal illness, mental health, or to care for a family member, 10 paid holidays, and two Give Back Days
• Comprehensive benefits : National medical plan, dental, vision, paid maternity leave, paid paternity leave, HSA, Flex, employer-sponsored short-term, long-term disability, discounts to volunteer plans to meet your family needs, and more!
• Prepare for the future : 401(k) with a company match to provide a better future in your retirement years.

Base pay will depend on the position, individual qualifications, market, and other operational business needs.

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