Jobsolv Blog

Career advice, GA4 tips, and job search guides for marketing analytics professionals.

How-To Guides

Step-by-step articles to help you execute your job search faster.

Salary & Career Growth

Compensation strategy, promotion paths, and long-term career decisions.

Marketing Analytics Career

Marketing Analyst Contract vs Full-Time: Pros, Cons, and Salary Data

Contract and full-time marketing analyst roles offer very different trade-offs. Here is the honest comparison with real salary data from both sides.

Marketing Analytics Skills & Tools

The Marketing Analyst's Toolkit: Every Tool You Need by Career Stage

The tools you need as an entry-level analyst are completely different from what a senior analyst uses daily. Here is the right stack for each career stage.

Marketing Analytics Skills & Tools

Google Analytics 4 vs Adobe Analytics: Which Should You Learn First?

Both platforms dominate marketing analytics, but they serve different company types. Here is which one to learn first based on your career goals.

Marketing Analytics Career

Working at a Startup vs Corporation as a Marketing Analyst: The Honest Trade-Offs

I have been a marketing analyst at a Fortune 150 company and I have built a startup. The day-to-day reality of each is nothing like what career advice sites describe.

Career Advice

Marketing Analyst Salary by City in 2026: Cost-of-Living Adjusted Rankings

Your salary number means nothing without context. A marketing analyst earning $120K in San Francisco may have less spending power than one earning $80K in Austin. Here is the city-by-city data, cost-of-living adjusted.

Marketing Analytics Career

Marketing Analyst Career Path: From Entry-Level to VP of Analytics

A complete roadmap from junior marketing analyst to VP of Analytics. A hiring manager who has promoted analysts through every level shares the skills, timelines, and moves that define each stage.

Resume & Tools

Resume optimization and practical tool-focused articles.

Latest Articles

New and uncategorized posts, sorted by publish date.

Marketing Analytics Skills & Tools

Why Marketing Analysts Should Learn Python (And Where to Start)

Python is becoming essential for marketing analysts who want to move beyond dashboards into predictive modeling and automation. Here is the practical path.

Marketing Analytics Trends

The Future of Cookie-less Marketing Analytics: What Analysts Need to Know

Third-party cookies are dying. A startup founder and hiring manager explains what marketing analysts need to learn now to stay relevant in the cookieless future of digital analytics.

Marketing Analytics Skills & Tools

SQL for Marketing: 10 Real Queries You'll Use Every Week

From campaign performance breakdowns to cohort retention analysis, here are the exact SQL queries I teach every marketing analyst on my team during their first month.

Marketing Analytics Skills & Tools

Marketing Analytics for SaaS: The Metrics Your CFO Actually Cares About

Stop reporting vanity metrics. A startup founder and hiring manager explains the SaaS marketing analytics metrics that actually matter to your CFO, from CAC payback to LTV:CAC ratios and pipeline velocity.

Marketing Analytics Skills & Tools

15 Marketing KPIs Every Analyst Should Track in 2026

The 15 most critical marketing KPIs for analysts in 2026, organized by funnel stage. Includes benchmark ranges, dashboard-building steps, common mistakes, and an FAQ — written from a hiring manager perspective.

Marketing Analytics Skills & Tools

Data Visualization for Marketing Analysts: The Skills That Actually Get You Hired

Based on our analysis of 2,400+ marketing analyst job listings, 87% now require data visualization proficiency. Learn which chart types, tools, and dashboard design principles hiring managers actually want to see from candidates.

Marketing Analytics Skills & Tools

Excel for Marketing Analytics: 20 Essential Formulas and Techniques

Based on Jobsolv's analysis of 12,842 marketing analyst job listings, 89% require Excel. Learn the 20 essential formulas, techniques, and a clear mastery path from a hiring manager who reviews hundreds of analyst resumes.

Marketing Analytics Skills & Tools

Marketing Analytics Bootcamps vs Self-Study: Which Path Gets You Hired Faster?

Jobsolv analyzed 5,000+ marketing analyst profiles to settle the bootcamp vs self-study debate. Get proprietary hiring data, hiring manager insights, a full comparison table, and a 6-month hybrid learning framework.

Marketing Analytics Trends

Marketing Analytics for Non-Profit Organizations: Measuring Impact on a Budget

Learn how non-profit organizations can leverage marketing analytics to maximize donor acquisition, improve fundraising campaigns, and measure mission impact—even with limited budgets.

Marketing Analytics Trends

Marketing Analytics for Gaming and Mobile Apps: Metrics, Tools, and Strategies

Master marketing analytics for gaming and mobile app companies. Learn about UA metrics, ROAS optimization, cohort analysis, SKAN measurement, and the unique challenges of mobile app marketing.

Marketing Analytics Skills & Tools

Causal Inference for Marketing: Moving Beyond Correlation to True Impact Measurement

Learn causal inference methods for marketing analytics, including difference-in-differences, propensity score matching, and instrumental variables. Move beyond correlation to measure true marketing impact.

Marketing Analytics Skills & Tools

SQL for Marketing Analytics: 15 Essential Queries Every Analyst Needs

Learn the 15 SQL queries marketing analysts use most — from campaign ROAS calculations and cohort analysis to attribution paths and LTV segmentation.

Marketing Analytics Trends

Privacy-First Marketing Analytics: Thriving in a Cookieless, Consent-Driven World

How marketing analysts can adapt to privacy regulations, cookie deprecation, and consent requirements. Practical strategies for accurate measurement in a privacy-first world.

Marketing Analytics Skills & Tools

Causal Inference for Marketers: Moving Beyond Correlation

Learn how causal inference methods help marketers measure true campaign impact — from A/B testing and difference-in-differences to instrumental variables and regression discontinuity.