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Vericast

Vericast

via Remote Rocketship

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Campaign Insights Analyst

Anywhere
Full-time
Posted 12/19/2025
Verified Source
Key Skills:
Data Analysis
Operational Efficiency
Process Improvement
Stakeholder Engagement

Compensation

Salary Range

$70K - 120K a year

Responsibilities

Analyze campaign performance data, build narratives and visuals for executive summaries, and partner with teams to enable data-driven decisions.

Requirements

Requires 2-4 years in data analysis or BI, proficiency in Tableau and SQL, understanding of statistics, and strong communication skills.

Full Description

Job Description: • Analyze campaign performance (matchbacks, segment/offer results, etc) to distill the why behind the what—cohorts, lift, incrementality signals, creative/offer splits, geo or branch patterns, time trends, and more. • Build the story: draft the executive “headline,” structure the narrative (Context → Signal → So What → Now What), and create speaker notes for AEs/Client Strategists. • Visualize with Tableau: produce clean, reusable dashboards and export-ready visuals (no chart junk, brand-on, executive-friendly). • Own readout assets: monthly performance summaries, QBR slide sections, one-pagers, win/loss insight briefs, and a living “pattern library” of best-practice visuals. • Partner tightly with AEs & Client Strategists to align on hypotheses and the decisions a readout must enable—before you ever open a dataset. • Operational excellence: uphold SLAs, QA your work, and maintain a small component library (templates, color scales, annotations) to speed future builds. • AI-forward workflow: use AI for exploratory analysis, rapid storyboard drafts, code review/snippets, narrative polishing, and outlier detection—responsibly and transparently. Requirements: • 2–4 years in data analysis, marketing analytics, or BI. • Tableau (hands-on)—calculated fields, LODs, parameter controls, level-appropriate performance tuning, export quality. • SQL (Required)—joins, windows, aggregations; comfort profiling messy matchback files and campaign tables. • Statistics & testing basics—confidence intervals, practical significance, A/B testing pitfalls, cohort analysis. • Communication—tight executive writing, structured narratives, clear speaker notes. • AI—hands-on with AI for EDA/storyboarding/visual drafts or strong appetite to learn quickly. • Nice to Have • Python or R for quick EDA (pandas/dplyr), tidy data, and chart exports; regex & data cleaning. • Experience with marketing performance data (direct mail, paid social, display, online video), attribution trade-offs, and incrementality concepts Benefits: • Position is eligible for an annual bonus incentive program

This job posting was last updated on 12/22/2025

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