Marketing Analytics Skills & Tools
Technical skills, tools, and certifications every marketing analyst needs — GA4, SQL, Python, attribution, and more.
57 articles
Excel for Marketing Analysts: Essential Skills and Formulas (2026 Guide)
Master the essential Excel skills every marketing analyst needs in 2026. From XLOOKUP and pivot tables to Power Query and dashboard building, this guide covers the formulas and techniques that handle 80% of daily marketing analysis work.
Marketing Attribution Models Explained: A Practical Guide for Analysts (2026)
Learn every major marketing attribution model -- from first-touch and last-touch to multi-touch, data-driven, and algorithmic approaches. Includes formulas, comparison tables, GA4 setup guidance, and practical advice for choosing the right model.
Python for Marketing Analytics: A Getting Started Guide
Learn how to use Python for marketing analytics with this practical guide covering essential libraries, real-world use cases, and a structured learning path for marketers.
12 Best Marketing Analytics Books for 2026 (Beginner to Advanced)
A hiring manager's guide to the 12 best marketing analytics books for 2026, organized by skill level from beginner to advanced. Covers statistics, SQL, Python, machine learning, attribution modeling, and experimentation.
A/B Testing for Marketing Analysts: The Complete Guide to Running Tests That Actually Move the Needle
The complete guide to A/B testing for marketing analysts. Covers hypothesis frameworks, sample size calculations, statistical significance, email and landing page testing, ad copy experiments, and common pitfalls — all from a hiring manager's perspective.
30 SQL Interview Questions for Marketing Analysts (With Answers)
Master the 30 most-asked SQL interview questions for marketing analyst roles. Covers beginner to advanced queries with real marketing context — campaign analysis, cohort retention, attribution models, RFM segmentation — plus hiring manager insights on what separates great answers from mediocre ones.
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.
Tableau for Marketing Analysts: The Complete Guide to Building Dashboards That Get Results
Learn how to use Tableau for marketing analytics. This guide covers getting started, key chart types, dashboard examples, calculated fields for marketing metrics, and a Tableau vs Power BI vs Looker Studio comparison.
Tableau vs Power BI for Marketing Analysts: Which Should You Learn First?
A comprehensive comparison of Tableau and Power BI for marketing analysts, covering features, learning curve, job demand, pricing, and which tool to learn first in 2026.
Looker Studio for Marketing Analysts: Complete Guide (2026)
The complete guide to Looker Studio for marketing analysts in 2026. Covers key features, dashboard building steps, advanced techniques, tool comparisons, and portfolio tips from a hiring manager perspective.
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 Guide 2026: The 15 Most In-Demand Skills Ranked
Based on Jobsolv's analysis of 12,842 marketing analyst job listings (Q1 2026), we ranked the 15 most in-demand marketing analytics skills by demand, growth rate, and salary premium. From SQL and GA4 to data storytelling and Python, this comprehensive guide covers every skill you need at each career level, plus a 90-day development plan.
SQL for Marketing Analysts: The Complete Guide (2026)
Learn the SQL skills hiring managers expect from marketing analysts in 2026. Includes real query examples for campaign analysis, cohort retention, ROAS calculations, and a salary breakdown by skill level.
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 Dashboard: How to Build One That Executives Actually Use
Dashboard building appears in 67% of marketing analyst job listings, yet only 31% of marketing leaders regularly use the dashboards their teams build. Learn the CLEAR Framework for building marketing analytics dashboards that executives actually open every morning.
Best Marketing Analytics Certifications in 2026: Which Ones Actually Matter
Based on Jobsolv's analysis of 12,842 marketing analyst job listings, only 18% require a certification — but certified analysts earn 12% more. Here's which certifications actually matter at every career stage, ranked by salary impact, employer recognition, and ROI.
Marketing Analytics ROI: How to Measure and Prove Your Value to the Business
Based on Jobsolv's survey of 200+ marketing analytics managers, only 22% have a formal ROI measurement framework — yet those that do receive 40% larger budget increases. Learn the 5-step Analytics ROI Calculator framework to measure and prove your value to leadership.
Data Storytelling for Marketing Analysts: Turn Numbers Into Decisions
Data storytelling is the #1 skill separating mid-level marketing analysts ($75K) from senior analysts ($110K+). Learn the SAID Framework, see before/after examples, and get a concrete plan to turn numbers into decisions executives act on.
Google Tag Manager for Marketing Analysts: Setup, Triggers, and Best Practices
Google Tag Manager appears in 52% of marketing analyst job listings. This comprehensive guide covers GTM setup, essential triggers, core tags, testing with Preview mode, and version control best practices — with hiring manager insights on what separates strong candidates from the rest.
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.
GA4 Certification Guide 2026: Is It Worth It? Cost, Prep, and Career Impact
Is GA4 certification worth it in 2026? Based on Jobsolv's analysis of 8,200+ job listings, we break down the cost (free), exam prep strategy, and real career impact of Google Analytics certification.
Snowflake for Marketing Analytics: A Data Warehouse Guide for Analysts
Learn how to use Snowflake for marketing analytics — from understanding the architecture to querying marketing data, building dashboards, and managing ad platform data pipelines. A practical guide for marketing analysts working with modern data stacks.
Mixpanel for Marketing Analysts: User Analytics Beyond Page Views
Learn how to use Mixpanel for marketing analytics — event tracking, funnel analysis, retention reports, and user segmentation. A practical guide for marketing analysts who need to go beyond page views and understand in-product user behavior.
dbt for Marketing Analysts: Transform Your Marketing Data Like a Pro
Learn how to use dbt (data build tool) for marketing analytics — from setting up your first project to building marketing-specific data models, creating reusable metrics, and automating your reporting pipeline.
Causal Inference for Marketing Analysts: Beyond Correlation to True Impact
Learn how to apply causal inference methods to marketing problems. This guide covers difference-in-differences, regression discontinuity, instrumental variables, and propensity score matching — with practical marketing examples for each technique.
Google Tag Manager for Marketing Analysts: Setup, Tracking & Advanced Guide
Master Google Tag Manager (GTM) as a marketing analyst. This guide covers container setup, essential marketing tags, custom event tracking, data layer implementation, debugging, and advanced techniques for GA4, Meta Pixel, and conversion tracking.
Bayesian A/B Testing for Marketing: A Practical Guide for Analysts
Learn how Bayesian A/B testing works for marketing campaigns. This guide covers the key differences from frequentist testing, when to use Bayesian methods, practical implementation examples, and how to communicate Bayesian results to stakeholders.
Amplitude for Marketing Analysts: A Complete Product Analytics Guide
Learn how to use Amplitude for marketing analytics — from event tracking and funnel analysis to cohort building, retention curves, and campaign attribution. A practical guide for marketing analysts transitioning into product analytics.
SQL Window Functions for Marketing Analysts: Practical Examples and Use Cases
Master SQL window functions for marketing analytics with practical examples. Learn ROW_NUMBER, RANK, LAG, LEAD, running totals, and moving averages applied to real marketing data scenarios.
Klaviyo Analytics for Marketing: Mastering Email and SMS Performance Measurement
Master Klaviyo analytics for email and SMS marketing measurement. Learn key metrics, segmentation strategies, flow optimization, and how to use Klaviyo data for marketing decisions.
Mixpanel for Marketing Analytics: Product-Led Growth Measurement Guide
Learn how to use Mixpanel for marketing analytics, including event tracking, user flows, retention analysis, and measuring product-led growth metrics that matter for marketing teams.
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.
Snowflake for Marketing Data: Why Modern Marketing Teams Need a Cloud Data Warehouse
Learn why Snowflake is becoming the preferred cloud data warehouse for marketing teams, how to set up marketing data schemas, and best practices for cost optimization and BI integration.
Regression Analysis for Marketing: A Practical Guide to Predictive Modeling
Learn how to use regression analysis for marketing decisions, including linear regression for budget forecasting, logistic regression for conversion prediction, and practical implementation tips.
Amplitude for Marketing Analytics: A Complete Platform Guide
Learn how to use Amplitude for marketing analytics, including event tracking, user segmentation, funnel analysis, retention analysis, and campaign measurement.
Bayesian A/B Testing for Marketing: A Practical Guide for Analysts
Learn how Bayesian A/B testing works, why it's often better than frequentist methods for marketing experiments, and how to implement it in your marketing analytics practice.
Google Tag Manager for Marketing Analytics: Advanced Implementation Guide
Master advanced Google Tag Manager techniques for marketing analytics, including custom event tracking, enhanced ecommerce, server-side tagging, and data layer best practices.
dbt for Marketing Analysts: A Complete Guide to Transforming Marketing Data
Learn how to use dbt (data build tool) to transform, model, and document marketing data. This guide covers setup, common marketing models, and best practices for analytics engineers in marketing.
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.
GA4 for Marketing Analysts: The Complete Guide to Google Analytics 4
Master GA4 as a marketing analyst — from event tracking and conversions to explorations, BigQuery exports, and building campaign performance dashboards.
Python for Marketing Analytics: The Complete 2025 Guide for Analysts
Learn how to use Python for marketing analytics — from pandas and data wrangling to predictive modeling, attribution analysis, and automating reports. The essential Python skills every marketing analyst needs.
Best Marketing Analytics Certifications in 2025: Which Ones Actually Matter
A ranked guide to the most valuable marketing analytics certifications — which ones hiring managers care about, ROI by certification, and how to choose the right ones for your career.
CRM Analytics for Marketing: How to Turn Customer Data Into Revenue
A comprehensive guide to CRM analytics for marketing teams — segmentation strategies, lifecycle analysis, predictive scoring, and how to drive revenue from your customer database.
E-Commerce Analytics: The Essential Guide for Marketing Analysts
Master e-commerce analytics — from conversion funnels and attribution to merchandising analytics, pricing optimization, and the KPIs that matter most for online retail.
Mixpanel for Marketing Analytics: Getting Started Guide
Learn how to use Mixpanel for marketing analytics — event tracking, funnel analysis, retention measurement, and A/B testing to understand user behavior and optimize marketing campaigns.
Tableau for Marketing Analysts: Dashboard Best Practices and Templates
How to build effective marketing dashboards in Tableau — best practices for layout, KPI selection, interactivity, and storytelling that drives action.
BigQuery for Marketing Analysts: Getting Started With Google's Data Warehouse
A beginner-friendly guide to BigQuery for marketing analysts — connecting GA4 data, writing queries, building marketing reports, and why every analyst should learn it.
Snowflake for Marketing Data: A Marketing Analyst's Guide
Learn how Snowflake empowers marketing analytics teams — from centralizing campaign data and building unified customer views to powering real-time dashboards and data sharing.
Regression Analysis for Marketing: A Practical Guide for Analysts
Learn how to apply regression analysis to marketing problems — from predicting campaign performance and measuring channel impact to building marketing mix models and budget optimization.
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.
Amplitude for Marketing Analytics: Complete Setup and Strategy Guide
Learn how to use Amplitude for marketing analytics — from initial setup and event tracking to advanced cohort analysis, funnel optimization, and campaign measurement.
Looker vs Tableau vs Power BI: Which BI Tool Should Marketing Analysts Learn?
An in-depth comparison of Looker, Tableau, and Power BI for marketing analytics — features, pricing, learning curve, job market demand, and which one is right for your career.
Google Tag Manager for Marketing Analysts: Advanced Implementation Guide
Master Google Tag Manager with advanced techniques for marketing analytics — custom event tracking, data layer design, e-commerce tracking, server-side tagging, and debugging.
Bayesian A/B Testing for Marketers: A Practical Guide
Learn how Bayesian A/B testing gives marketers faster, more intuitive results than traditional frequentist methods — with practical examples and implementation guidance.
dbt for Marketing Analysts: A Complete Guide to Data Transformation
Learn how dbt (data build tool) empowers marketing analysts to build reliable data pipelines, create reusable metrics, and transform raw marketing data into actionable insights.
GA4 Migration Checklist: Everything Marketing Analysts Need to Verify Post-Migration
The definitive GA4 migration checklist for marketing analysts — verify tracking, fix common issues, configure conversions, set up BigQuery export, and ensure data quality.
Building a Marketing Experimentation Program: From First Test to Testing Culture
How to build a marketing experimentation program from scratch — statistical foundations, test prioritization, tool selection, building a testing culture, and scaling to 100+ experiments per year.