Manager, Commercial Analytics
About the role
The Manager, Commercial Analytics leads a team of commercial analysts and owns the insight output layer for the NAM revenue organization. This includes sales performance reporting, dealer and rep performance, initiative and program performance, and the dashboards and recurring reporting the business runs on.
Responsibilities
Executive insight delivery. Produce weekly and monthly performance narratives for VP and executive audiences that state what happened and why it happened. Every number is validated against known business scale before it ships.
Team leadership. Manage and develop a team of commercial analysts: set priorities, coach analytical and communication skills, and own the quality bar for everything the team publishes. This is a player-coach role: the manager personally builds dashboards, models, and analysis alongside the team, not only through it.
Reporting and dashboard portfolio. Own dashboard development and recurring reporting across sales performance, dealer and rep performance, and initiative and program performance. Continuously improve the depth and usability of data insights. Deliver across Power BI and Excel, driven by what stakeholders can actually use.
Data intimacy and SME standard. Bring curiosity in data and build a working understanding of what every field and measure means: definition, source, and correct usage. Gain a level of intimacy in the data that makes you and your team the commercial analytics SME for Fluidra NAM.
Demand and cadence management. Maintain the intake process for incoming data and reporting requests through a workflow tool such as Jira or Smartsheet, with clear prioritization and status visibility for stakeholders. Maintain the recurring reporting calendar so every deliverable ships on time, every cycle.
Output quality control. Apply the validation standard: if a number would surprise the executive reading it, determine whether it is an insight or an error before sending. Reconcile totals against known scale, confirm matched comparison periods, and answer every part of every question asked.
Data expansion partnership. Work with the global data infrastructure teams to source new datasets for the purpose of expanding reporting capabilities. Define the business case and requirements, then work with the global team so they can build the pipeline. Work with them on break/fix SLAs to ensure data continuity in the team's analytics outputs. Absorb ad hoc and analytics workload currently carried by Sales Ops.
Requirements
- 5+ years in commercial analytics, sales analytics, revenue operations, or FP&A, with specific examples of analysis that changed a business decision and the outcome that followed.
- Demonstrated leadership of analysts through direct management, mentoring, or leading and reviewing the analytical work of others. Formal people-management experience is a plus, not a prerequisite.
- Demonstrated curiosity in data and business: a track record of learning a company's products, channels, customers, and programs deeply enough to become the go-to expert, not just learning its schemas.
- Experience running a request intake and prioritization process (Jira, Smartsheet, or similar) and holding a recurring reporting calendar on schedule.
- Expert-level Power BI (DAX, semantic model fluency, report design) and expert-level Excel. This is a hands-on building role; these are daily working tools, not oversight subjects.
- Working SQL for analysis and validation (Snowflake or comparable cloud warehouse).
- Proven validation discipline: reconciles output against known business scale, catches definitional and period-matching errors before publishing, and can cite examples.
- Executive communication and data storytelling, scaled to field, manager, and executive audiences.
- Preferred B2B channel, distribution, or aftermarket experience; pool industry or durable goods a plus.
- Loyalty or incentive program analytics (tiered dealer programs, rebates, sell-through measurement).
- Experience consuming globally owned data platforms in a matrixed organization.
Qualifications
- Bachelor's degree in Business, Finance, Economics, Statistics, Analytics, or a related field, or equivalent professional experience.
Skills
- Power BI (DAX, semantic model fluency, report design)
- Excel
- SQL
- Project Management
- Communication
- Leadership
Benefits
- Competitive compensation
- Strong benefits
- Culture built around accountability and innovation
- Global company with the agility of a performance-driven North American commercial team
- Total rewards package that includes: flexible vacation, work from home Fridays, 11 paid holidays, full range of health benefits including medical, dental & vision, short & long-term disability, 401(K) matching (100% of first 3% contributed, 50% of the next 2%), health and wellness programs / gym reimbursement, onsite gym, educational assistance up to $7,000 per year, On-site self-service café / free gourmet coffee stations
Pay
$130,000 - $150,000
Schedule
Full-time