Campaign Insights Analyst (Remote)

Vericast • San Antonio, TX

5d • $90,000 - $105,000 • Remote

About The Position

Vericast helps U.S. banks and credit unions grow through precision marketing and measurable outcomes. As a Campaign Insights Analyst, your mission is to turn raw campaign results into crisp, executive-ready stories that our Account Executives and Client Strategists can use to influence renewals, upsells, and next-best-tests. You'll wrangle data, surface the “so what,” and craft visuals + speaker notes that make performance unmistakably clear.

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 Haves

• 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

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed