Brand Campaign Operations Sr. Analyst

We are seeking a highly motivated, detail-oriented, and analytically sharp Sr. Analyst to serve as the reporting and insights engine for the Brand Campaigns and Partnerships team. This role is central to translating campaign and partnership data into clear, timely, and actionable intelligence — building the foundational reporting infrastructure that powers decision-making across the team.

The ideal candidate is naturally curious and constructively skeptical: someone who thrives in the details, questions the data, and won't accept a number at face value until they understand the story behind it.

Reporting directly to the Sr. Director, Global Strategy & Operations, this role owns the tactical analytics and operational reporting layer for Brand.

This is a "tools + fast insights" role: this person is a power user of analytics platforms, a builder of scalable reporting resources, and an active adopter of AI tools to offload the heavy lifting — creating space to triangulate across data sources, coordinate cross-functionally, and serve as the team's single most trusted go-to for all reporting needs.

The right person thrives on structure, moves quickly, and turns numbers into narratives.

Responsibilities

Analytics, Reporting & Infrastructure

• Serve as the team's primary power user across Brand analytics platforms — iSpot, Google Analytics, Disqo, Dynata, and others — owning data pulls, platform access, and pixel/tagging QA in partnership with agency and vendor contacts.
• Maintain Brand taxonomy and data quality standards to ensure consistency and accuracy across all outputs.
• Produce quick-turn ad hoc reports, monthly performance pulses, and quarterly reviews across Brand media and partnerships — covering spend, pacing, and directional performance.
• Translate raw data into clear insights and a reporting narrative, surfacing the "so what" for stakeholders without requiring them to dig into the data.
• Build and maintain dashboards and standardized templates as the SSOT for Brand reporting — accessible, scalable, and consistently accurate.

AI-Powered Efficiency

• Use AI to handle the heavy lifting — data synthesis, formatting, and routine reporting — freeing up bandwidth for higher-order analysis, triangulation, and proactive problem-solving.
• Build AI-assisted workflows that automate repetitive tasks and accelerate time-to-insight.
• Continuously pilot emerging tools to keep the reporting stack modern and efficient.

Cross-Functional Partnership & Reporting Hub

• Be the team's go-to for all reporting needs — the first call for any data question, performance snapshot, or measurement ask.
• Proactively flag insights and emerging trends across campaigns and channels, keeping stakeholders informed without waiting on requests.
• Constantly coordinate with cross-functional partners to ensure reporting is aligned and accurate.

Experience / Skills Required

• 4–6 years of experience in marketing analytics, campaign reporting, or a similar data-focused role, preferably in a fast-paced marketing or media environment.
• Proficient across analytics and reporting platforms (e.g., iSpot, Google Analytics, Dynata); ramps quickly on new tools and owns them deeply.
• Naturally curious and constructively skeptical — digs into the numbers, questions anomalies, and finds the "why" behind the "what" before drawing conclusions.
• Strong data fluency with the ability to manage multiple requests simultaneously, translate findings into clear narratives, and communicate to both analytical and non-analytical audiences.
• Highly organized with a sharp eye for detail and a track record of maintaining data quality and reporting accuracy at scale.
• Active user of AI tools (e.g., ChatGPT, Claude, Gemini, Slackbot) as a force multiplier — automates the operational work to create space for deeper thinking and cross-functional partnership.

Preferred Qualifications

• Familiarity with brand media metrics — brand lift, awareness, reach/frequency, and media efficiency.
• Experience with full-funnel or Brand-to-Demand measurement frameworks.
• Exposure to audience journey measurement or attribution methodologies.
• Prior experience in an agency, media, or in-house brand team working closely with media partners and vendors.