Begin your day by scanning what came in overnight: client requests, open questions, flagged deliverables and building your priority list before the first meeting hits. If something urgent surfaced, you're already on it.
Spend a midday block building a A/B test read-out, manipulating data in SQL, translating raw outputs into a clean, story-driven deck that a CMO can act on by end of week.
Jump on a client call in the afternoon where you're not just presenting findings, you're fielding follow-up questions in real time, pushing back on assumptions, and shaping what comes next.
Close out the day triaging two or three active workstreams across different accounts, prioritizing what moves the needle and flagging anything that needs team input before it becomes a fire.
Some weeks you're deep in creation of reports and data visualizations (PBI, Domo, Excel); others you're presenting at an executive meeting for a key client.
What You’ll Bring:
A quantitative degree (statistics, finance, economics, math, engineering, analytics, or similar)
3–5 years of hands-on experience in marketing analytics, growth analytics, or B2B data consulting.
SQL fluency (complex joins, CTEs, aggregations)
BI tool proficiency in Power BI, Tableau, Looker, or equivalent
Client presence. You're comfortable presenting to senior stakeholders, pushing back diplomatically, and managing competing priorities across multiple accounts.
Solid grasp of statistical concepts including A/B testing and predictive modeling concepts
