Key Responsibilities and Required Skills for Digital Magician

🎯 Role Definition

The Digital Magician is a hybrid digital strategist and executor responsible for planning and delivering high-impact digital campaigns, growth experiments, and conversion improvements across web, mobile, email, paid social, programmatic, and organic channels. The role focuses on measurable business outcomes (traffic, activation, retention, revenue) by combining deep analytics (GA4, SQL, data visualization), marketing automation (HubSpot/Marketo), paid media (Google Ads, Meta), SEO, content strategy, and A/B testing frameworks. The ideal candidate is comfortable rolling up their sleeves to implement tracking and tagging, translating analytics into creative hypotheses, and scaling repeatable growth playbooks.

📈 Career Progression

Typical Career Path

Entry Point From:

Digital Marketing Coordinator / Specialist (SEO, PPC, Social)
Marketing Analyst or Data Analyst with marketing focus
Content Strategist or Email Marketing Specialist

Advancement To:

Senior Growth Manager / Head of Growth
Director of Digital Marketing / Head of Performance Marketing
VP of Marketing / Chief Growth Officer

Lateral Moves:

Product Manager (growth/product ops)
UX Researcher / Conversion Rate Optimization (CRO) Lead

Core Responsibilities

Primary Functions

Design and lead omnichannel digital marketing strategies that align to acquisition, activation, retention, and revenue goals; build quarterly plans that prioritize high-impact experiments and scalable channel playbooks.
Own end-to-end paid performance campaigns (Google Ads, Microsoft Ads, Meta Ads, programmatic DSPs) including strategy, creative briefs, bid strategies, budget allocation, audience targeting, and performance optimization to meet CPA/ROAS targets.
Plan and execute SEO strategy across technical SEO, on-page optimization, content strategy, and link-building initiatives; collaborate with content and engineering to fix site issues, improve crawlability, and grow organic traffic and keyword visibility.
Implement and maintain robust analytics and measurement frameworks (GA4, Google Tag Manager, server-side tracking) to ensure reliable event tracking, attribution, and funnel measurement for web and mobile experiences.
Develop and run statistically-sound A/B and multivariate tests (Optimizely, VWO, Google Optimize or equivalent) across landing pages, funnels, and creative; generate test hypotheses from quantitative and qualitative insights and scale winners.
Build, maintain, and optimize marketing automation workflows (HubSpot, Marketo, Braze) to drive lifecycle marketing, lead nurturing, segmentation, and personalized messaging that lift retention and lifetime value.
Conduct in-depth funnel and cohort analyses using SQL and data visualization tools (Looker, Tableau, Data Studio) to identify friction points and prioritize product/marketing changes that increase conversion and reduce churn.
Create conversion-optimized landing pages and digital experiences by collaborating with design, UX, and engineering; own CRO backlog, prioritization, and rollout of improvements.
Manage content strategy for SEO and paid landing pages—define content briefs, keywords, editorial calendars, and performance KPIs in cooperation with writers and designers.
Lead audience and lifecycle segmentation strategies across CRM and ad platforms to improve relevance, lower CAC, and increase retention through personalized campaigns.
Own campaign measurement, reporting, and storytelling: produce weekly dashboards and monthly executive reports that summarize performance, insights, and recommended next steps.
Execute cross-functional growth sprints with product, engineering, data, and design teams to rapidly prototype, validate, and ship growth experiments that improve key metrics.
Manage paid media budgets and agency/vendor relationships; negotiate media buys, set SLAs, and perform regular audits to maximize efficiency and transparency.
Design and implement first-party data strategies, consented tracking approaches, and privacy-compliant measurement methods in a cookieless landscape.
Optimize email and push notification programs: build segmentation, subject line testing, send-time optimization, and re-engagement flows to lift open rates, CTR, and conversions.
Translate customer research, user feedback, and session recordings into prioritized product and experience improvements that reduce drop-off and drive activation.
Establish and enforce tagging and taxonomy standards for events, audiences, and campaign naming to ensure accurate cross-channel attribution and data integrity.
Build predictive and propensity models (with data science partners) to identify high-value prospects, churn risk, and upsell opportunities and operationalize model outputs into campaigns.
Mentor and upskill junior digital marketers; create documentation, run training sessions, and lead post-mortems to embed learning and repeatable processes.
Collaborate with legal and brand teams to ensure all digital campaigns meet compliance, accessibility (WCAG), and brand voice requirements while maintaining performance.
Lead creative experimentation across ad copy, visual assets, and landing page layouts; use qualitative testing and creative performance data to iterate quickly.
Troubleshoot production and tracking issues across web and mobile properties; work with engineering to diagnose and resolve technical blockers that impact measurement and campaign delivery.
Drive partnership and influencer outreach strategies, including brief creation, contract coordination, and measurement of partner-driven campaigns.
Prepare and present quarterly growth reviews and strategic recommendations to senior leadership, demonstrating ROI and a clear roadmap for scaling successful initiatives.

Secondary Functions

Support ad-hoc data requests and exploratory data analysis.
Contribute to the organization's data strategy and roadmap.
Collaborate with business units to translate data needs into engineering requirements.
Participate in sprint planning and agile ceremonies within the data engineering team.

Required Skills & Competencies

Hard Skills (Technical)

Advanced experience with Google Analytics (GA4) and Google Tag Manager for event measurement, funnel analysis, and attribution modeling.
Hands-on experience managing paid search and display campaigns using Google Ads and Microsoft Advertising; strong understanding of bidding strategies, audience targeting, and creative testing.
Proven experience running social and paid social campaigns (Meta Ads Manager, TikTok Ads, LinkedIn Campaign Manager) with measurable ROI.
Strong SEO skillset: technical SEO audits, keyword research tools (Ahrefs, SEMrush), on-page optimization, and content strategy.
Proficiency with A/B testing and experimentation platforms (Optimizely, VWO, or equivalent) and familiarity with statistical significance and test design.
SQL fluency for querying analytic databases, extracting cohorts, and conducting funnel and retention analyses.
Experience with marketing automation platforms (HubSpot, Marketo, Braze) to build lifecycle campaigns and lead scoring.
Familiarity with CRM systems (Salesforce, HubSpot CRM) and integration of CRM data into campaign segmentation and reporting.
Competence with data visualization and dashboarding tools (Looker, Tableau, Power BI, Google Data Studio) to build executive dashboards and operational reports.
Basic front-end familiarity (HTML/CSS, ability to QA landing pages) and experience working with CMS platforms (WordPress, Contentful).
Knowledge of privacy, consent management, and cookieless measurement solutions (server-side tagging, clean-room concepts).
Experience with tag-management, pixel deployment, and ad platform pixel troubleshooting.
Familiarity with programmatic advertising and DSPs for prospecting and retargeting campaigns.

Soft Skills

Strong analytical mindset with the ability to translate data into actionable marketing experiments and business outcomes.
Excellent written and verbal communication; able to present complex insights to non-technical stakeholders and executives.
Creative problem-solver who can generate high-impact hypotheses and design elegant, testable experiments.
Project management and prioritization skills; comfortable managing multiple campaigns and cross-functional dependencies.
Collaborative team player who partners effectively with product, design, engineering, and content teams.
Detail-oriented with a strong focus on data quality, naming conventions, and reproducible processes.
Adaptable and curious — stays current with digital marketing trends, ad platform changes, and emerging measurement techniques.
Coaching and mentorship ability to grow junior team members and share institutional knowledge.

Education & Experience

Educational Background

Minimum Education:

Bachelor's degree in Marketing, Business, Communications, Computer Science, Data Science, or a related field; or equivalent professional experience in digital marketing/growth roles.

Preferred Education:

Master's degree in Marketing Analytics, MBA, Data Science, or certifications such as Google Analytics Individual Qualification, Google Ads Certification, HubSpot/Marketo certifications, or relevant UX/CRO training.

Relevant Fields of Study:

Marketing, Digital Marketing, or Advertising
Data Science, Statistics, or Analytics
Computer Science, Web Development, or HCI

Experience Requirements

Typical Experience Range:

3–7 years of progressive experience in digital marketing, growth, or performance marketing roles; specific ranges may vary by company size and complexity.

Preferred:

5+ years of demonstrated success running multi-channel digital campaigns, executing experimentation programs, and driving measurable growth in user acquisition and retention. Prior experience in e-commerce, SaaS, or consumer digital products is a strong plus.