Marketing Analytics Manager Job Description: Template & Guide (2026)

A marketing analytics manager builds the data infrastructure that tells you which campaigns work and which don't. They own attribution modeling, reporting systems, and the analytics tools that turn marketing spend into measurable ROI. With marketing data volume growing 40% year-over-year and CMOs under pressure to prove results, analytics managers have become one of the hardest roles to fill — and one of the highest-impact hires you can make.

This guide includes a copy-paste job description template, salary benchmarks from 2026 data, required vs. preferred skills, and practical hiring advice. Based on insights from MarketerHire's 30,000+ marketing matches, including hundreds of analytics specialists placed across startups, scale-ups, and enterprises.

What Does a Marketing Analytics Manager Do?

A marketing analytics manager translates marketing activity into business outcomes. They design measurement frameworks, build dashboards, run attribution models, and arm leadership with the data to make smarter budget decisions.

Core responsibilities include:

• Attribution modeling — mapping which touchpoints drive conversions across multi-channel customer journeys
• Reporting infrastructure — owning dashboards, automated reports, and data pipelines that feed executive decision-making
• Campaign analysis — measuring performance across paid, organic, email, and content channels to optimize spend
• Tool ownership — implementing and managing analytics platforms (Google Analytics, Mixpanel, Amplitude, Looker, Tableau)
• Data governance — ensuring clean, consistent tracking across web, product, and CRM systems
• Stakeholder collaboration — translating technical findings into plain-language recommendations for marketing leadership
• Team leadership — managing junior analysts, setting data standards, and coaching non-technical marketers on metrics

Unlike a marketing analyst who executes reports, an analytics manager owns the strategy and infrastructure. They decide what to measure, how to measure it, and what the data means for the business.

Marketing Analytics Manager Job Description Template

Copy and customize this template for your job posting. Adjust responsibilities and qualifications based on your company stage, marketing channels, and data maturity.

[COMPANY NAME] — Marketing Analytics Manager

ABOUT THE ROLE
We're hiring a Marketing Analytics Manager to own our marketing measurement strategy and build the data infrastructure that drives smarter growth decisions. You'll design attribution models, build executive dashboards, and translate campaign performance into actionable insights. This role reports to the [VP Marketing / CMO / Head of Growth] and collaborates across marketing, product, and data teams.

KEY RESPONSIBILITIES
• Design and implement multi-touch attribution models across paid, organic, and lifecycle channels
• Build and maintain executive dashboards tracking KPIs: CAC, LTV, ROAS, pipeline contribution, channel performance
• Own marketing analytics tooling (Google Analytics, Mixpanel, Looker/Tableau, attribution platforms)
• Conduct deep-dive analyses on campaign performance, funnel conversion, and customer segmentation
• Partner with growth, product, and finance teams to connect marketing metrics to business outcomes
• Establish data governance standards for tracking, tagging, and reporting across marketing systems
• Lead weekly/monthly reporting cycles and present findings to executive leadership
• Manage and mentor junior analysts (if applicable)
• Identify opportunities to optimize marketing spend based on data-driven insights
• Support A/B testing frameworks for campaigns, landing pages, and creative

REQUIRED QUALIFICATIONS
• 4+ years in marketing analytics, growth analytics, or business intelligence roles
• Expert-level SQL and experience querying large datasets (data warehouses: Snowflake, BigQuery, Redshift)
• Hands-on experience with BI tools (Tableau, Looker, Power BI, or similar)
• Strong understanding of digital marketing channels (paid search, paid social, SEO, email, content)
• Experience building multi-touch attribution models or marketing mix models
• Proficiency with web analytics platforms (Google Analytics 4, Mixpanel, Amplitude)
• Data storytelling — ability to translate complex analyses into executive-level narratives
• Bachelor's degree in statistics, mathematics, economics, business, or related field

PREFERRED QUALIFICATIONS
• Python or R for statistical analysis and data manipulation
• Experience with marketing attribution tools (Rockerbox, HockeyStack, Singular, Northbeam)
• Knowledge of experimental design and A/B testing methodologies
• Familiarity with CRM and marketing automation platforms (HubSpot, Salesforce, Marketo)
• Background in e-commerce, B2B SaaS, or high-growth startups
• Experience managing a team of analysts

COMPENSATION
$[90,000 - 130,000] base salary (adjust for experience level and geography)
Equity: [0.05% - 0.25%] (if applicable)
Bonus: up to [15-20%] annual performance bonus

ABOUT [COMPANY NAME]
[2-3 sentences about your company, mission, product, and culture]

TO APPLY
Send resume and a brief note to [email]. Include a link to a portfolio or case study if available.

Before posting this JD, check what a complete marketing team structure costs for your stage and budget reality.

Required Skills & Qualifications

A strong marketing analytics manager balances technical depth with business judgment and communication skills.

Technical baseline: If a candidate can't write SQL joins or build a cohort retention table, they're not ready for this role. If they can't explain CAC payback period to a non-technical exec, they won't succeed either.

In MarketerHire's 30,000+ matches, the analytics managers who scaled fastest combined strong SQL/BI skills with the ability to make data accessible to marketing leaders who don't live in spreadsheets.

Marketing Analytics Manager Salary & Compensation

Marketing analytics managers earn $90,000 to $160,000+ in base salary depending on experience, geography, and company stage. Equity and bonuses add 15-30% on top.

2026 salary ranges by experience level:

• Junior (1-3 years): $70,000 - $90,000 base
• Mid-level (4-6 years): $90,000 - $120,000 base
• Senior (7+ years): $120,000 - $160,000+ base

Geography adjustments:

• San Francisco, New York, Seattle: +20-30% above national average
• Austin, Denver, Boston: +10-15%
• Remote-first companies: often pay closer to top-tier metro rates to stay competitive

Company stage and industry:

• Early-stage startups (Series A-B): Often lower base ($80-100K) with higher equity (0.1-0.5%)
• Growth-stage (Series C+): $110-140K with moderate equity (0.05-0.15%)
• Enterprise and public companies: $120-160K+ with stock options or RSUs, lower equity percentage but higher dollar value

Bonuses and equity:

• Performance bonuses typically 10-20% of base salary tied to company or team metrics
• Equity varies widely — 0.05% to 0.5% depending on stage, but negotiate based on total comp

Salary data sourced from Glassdoor, LinkedIn Salary, and MarketerHire's internal marketplace data (2026). For broader context on marketing team cost including analytics roles, see our compensation benchmarks.

Marketing Analyst vs Marketing Analytics Manager

The difference comes down to scope, seniority, and ownership.

Career progression: Most analytics managers start as analysts for 2-4 years, then move into management once they've built deep channel knowledge and can translate data into strategy. The jump requires stronger communication skills and the ability to prioritize what matters across dozens of potential analyses.

If you're building a startup marketing team, you'll often hire a senior analyst first and promote them to manager as the team grows. Companies at Series B+ usually hire directly into the manager role.

How to Hire a Marketing Analytics Manager

Hiring a strong analytics manager takes 6-8 weeks through traditional recruiting — or 48 hours if you use a vetted marketplace like MarketerHire.

3 screening questions to ask:

1. "Walk me through how you'd build a multi-touch attribution model for a B2B SaaS company with a 90-day sales cycle." — Tests whether they understand attribution complexity beyond last-click. Look for mentions of time decay, lead scoring, and connecting offline sales to digital touchpoints.
2. "You notice CAC spiked 40% last month. How do you diagnose what's wrong?" — Tests problem-solving and analytical rigor. Strong candidates will ask clarifying questions (which channels? new vs. returning? data quality issues?) before jumping to conclusions.
3. "Describe a time you presented a complex data analysis to a non-technical executive. What did you focus on?" — Tests communication and business judgment. Look for answers that prioritize "so what" over technical methodology.

Portfolio red flags:

• Tool lists without outcomes ("Proficient in Tableau, SQL, Python") — you need evidence they drove decisions, not just built dashboards
• No examples of data storytelling — if every work sample is a raw chart with no narrative, they can't translate for leadership
• Only last-click attribution or single-channel analysis — modern marketing requires multi-touch thinking

Trial project ideas:

• Build a dashboard analyzing the last 6 months of paid channel performance (CAC, ROAS, conversion rates by channel and campaign)
• Design an attribution model for your funnel and explain trade-offs between first-touch, last-touch, and multi-touch approaches
• Analyze a cohort retention dataset and present actionable findings

Speed vs. quality: Traditional hiring takes 2-3 months and often results in mis-hires (37% of MarketerHire prospects tried full-time hiring and failed). MarketerHire matches you with a vetted marketing analytics expert in 48 hours — top 5% of applicants, with portfolios reviewed and reference-checked. Month-to-month engagement, 2-week trial to validate fit before committing.

Get matched with a marketing analytics expert in 48 hours — or learn more about how fractional specialists compare to full-time hires.