About the role
We're a ~130-person performance media agency built for the subscription-focused nonprofit and mission-driven sector. We run digital fundraising and performance media for organizations like UNICEF, the IRC, and WFP USA, alongside commercial brands. Our clients don't hire us for impressions. They hire us for revenue and return. We're in the middle of a deliberate shift: from a hero-dependent delivery model to a productized, systematized one. This role is central to that shift.
Responsibilities
•Pull data from ad platforms (Google Ads, Meta, DV360) and CRMs via APIs, scripts, and integration tools.
•Model data in GCP (BigQuery), define derived metrics, and lead the migration from Funnel.io to GCP.
•Build Looker dashboards and integrate practical AI (anomaly detection, narrative insights, pacing risk).
•Ensure rigorous QA, data reconciliation, and thorough documentation.
•End-to-end tracking of media metrics (ROAS, revenue) across cadences, collaborating with strategists to analyze variances and re-forecast.
•Build a standardized, scalable Looker interface for cross-channel performance reporting with AI insights.
•Develop reliable, bottom-up forecasting models for pitches, kickoffs, and QBRs that hold up against actual results.
•Walk clients through Performance Targets, the Universal Media Performance Framework, and forecasts.
•Explain variances, trends, and data caveats clearly, and connect them to what the client cares about.
•Be the first point of contact for client questions about data, whether they're about something in a recurring report or something outside it.
•When a client question needs a new cut of data or a custom analysis, scope it, deliver it (directly or through your Analysts), and explain the result.
•Keep strategists and account leads informed on what clients are asking and what the data says, so the whole team speaks with one voice.
•When the data is incomplete or a number is wrong, say so plainly, explain why, and fix it.
•Plan and run new-client report builds from kickoff to launch, including data access, source connections, QA, and client sign-off.
•Run the recurring cadence for existing clients so evergreen reports are refreshed, accurate, and on time.
•Set up a clear intake and prioritization process for requests from clients, Media, and Account teams.
•Manage dependencies with Data Engineering, Media, and Client Leadership, and flag risks to timelines early.
•Keep stakeholders informed on status without needing to be chased.
•Set the quality bar for the team's work, review it, and hold the standard.
•Assign work in a way that stretches each Analyst and builds real skills, especially in SQL, GCP, and Looker.
•Hold regular one-on-ones, give direct and specific feedback, and support each Analyst's career goals.
•Keep the team engaged: give them ownership, shield them from chaos, and involve them in client-facing work as they grow.
Requirements
•5+ years in analytics, BI, or performance reporting (agency or in-house).
•Advanced SQL and cloud data warehousing (ideally GCP/BigQuery).
•Data extraction via APIs (Google Ads, Meta, CRMs) using Python or integration tools.
•Building dashboards (Looker preferred), bottom-up forecasting, and expert Excel.
•Experience presenting data to clients/stakeholders and explaining complex technical concepts to non-technical audiences.
•Proven ability to run multiple parallel projects and meet deadlines.
•Experience leading or mentoring analysts.
Nice to have
•Experience with dbt, Funnel.io, or equivalent data tools.
•Formal people management experience.
•Background in nonprofit fundraising or direct-response marketing.
•Practical application of LLMs/AI in analytics (e.g., insight generation, narrative automation).
Conditions
•Work schedule: 12 pm – 8 pm.
•Competitive salary and annual bonus opportunities.
•Promote-from-within culture and the chance to define your career growth.
•Health and dental insurance (after trial period).
•28 calendar PTO days.
•Flexible sick days policy backed by full 100% short-time disability coverage.
•Brand new office in Minsk, built and designed exclusively for DELVE.
•English language tuition covered for specific positions.
•Compensation of sports facilities (after trial period).
•Mental health reimbursement (after trial period).
•Generous employee referral bonuses.
•Hybrid working model: Tuesdays, Wednesdays, Thursdays in office with the option to work from home on Mondays and Fridays.
