Senior Marketing Analyst, AI and Insights

Bloomreach is seeking a Senior Marketing Analyst  who obsesses over data, understands marketing channels at a granular level, and leverages AI tools to unlock insights that drive GTM performance. In this role, you will be part of the AI Marketing Ops team, working to measure, optimize, and scale our marketing campaigns through intelligent analytics, real-time dashboards, and data-driven recommendations. You'll own channel performance tracking, pipeline funnel analysis, ROI measurement, and attribution—turning raw data into actionable insights that inform strategy and accelerate revenue growth. You'll experiment with AI-powered analytics platforms, build sophisticated dashboards, and continuously optimize our measurement framework to capture what truly matters. The ideal candidate is obsessed with data patterns, comfortable living in spreadsheets and BI tools, thrives in a fast-moving environment, and would rather spend 2 hours building an analytics system than 1 hour manually pulling reports.

You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis. 

Your job will be to:

Track and analyze channel performance across the full marketing stack: Dive deep into the performance of every channel—paid ads, email, content, partnerships, events, direct, and organic. Use AI tools like Infinigrow, Amoeb.ai, or similar platforms to uncover performance patterns, benchmark against industry standards, and identify optimization opportunities. Build dashboards that show real-time channel metrics, cost per lead, engagement rates, and conversion velocity.

Measure and optimize ROI across campaigns and initiatives: Own the complete ROI picture—from first touch to closed deal. Calculate true ROI by channel, campaign, and tactic. Identify which marketing investments generate the best pipeline quality, shortest sales cycles, and highest win rates. Use data to recommend budget reallocation and help the team spend smarter.

Build and maintain pipeline funnel analytics: Create comprehensive dashboards tracking pipeline flow from lead through close. Measure conversion rates at each stage, identify funnel bottlenecks, and understand where leads stall or accelerate. Connect marketing-generated pipeline to revenue outcomes, and show the business what marketing truly delivered.

Experiment with AI-powered analytics tools: Test new platforms—Infinigrow, Amoeb.ai, Crayon, Dimension, or emerging AI analytics tools that drop. Evaluate which tools best surface insights, predict trends, or automate reporting. Stay on top of the analytics landscape and bring fresh approaches to how we measure and interpret data.

Build intelligent dashboards and reporting systems: Design dashboards that answer the questions GTM teams actually need answered. Move beyond vanity metrics to actionable insights. Create self-serve dashboards that help marketers, sales leaders, and executives understand performance without asking you for reports. Automate routine reporting so the team gets fresh insights daily.

Analyze attribution and customer journey: Map the full customer journey—how prospects move through touchpoints, which interactions matter most, and what sequence of events leads to pipeline creation. Use multi-touch attribution or AI-powered attribution models to credit channels appropriately. Understand not just what converts, but why.

Identify trends, anomalies, and optimization opportunities: Monitor performance daily and spot patterns others miss. Use AI tools and statistical analysis to flag underperforming channels, discover emerging opportunities, and surface early warning signs. Proactively recommend tests and optimizations before performance degrades.

Run experiments and measure impact: Design and execute A/B tests on campaigns, messaging, channels, and timing. Track statistically significant results. Build a culture of experimentation where everything is tested, and recommendations are backed by data.

Create predictive models and forecasts: Use historical data to forecast pipeline generation, predict campaign performance before launch, and model the impact of budget changes. Help the team plan with confidence based on what the data shows is likely.

Enable the GTM team with data: Create training sessions on how to read dashboards and interpret metrics. Explain statistical concepts in plain language. Help non-analytical teammates become data-informed decision makers. Be the translator between raw data and business impact.

Your success story will be:

Within the first 30-60 days: You've connected the primary analytics tools (GA, Salesforce, paid ad platforms, email systems) and built 2-3 foundational dashboards tracking channel performance and pipeline flow. You've set up automated reporting so the team gets weekly insights without manual pulls. You've started experimenting with AI analytics tools and identified your top 2-3 favorites. You understand the current marketing tech stack, data flows, and key metrics that matter to leadership.

After 60-90 days: You own a comprehensive analytics system covering channel performance, ROI by campaign, and full-funnel pipeline metrics. You've identified 3-5 optimization opportunities and tested at least 2 backed by data. You're producing weekly analytics reports that influence marketing decisions. You've integrated an AI-powered analytics tool into the workflow and are using it to surface insights the team wouldn't find manually. You've built self-serve dashboards that reduce the team's dependency on you for routine questions.

By 6 months: You're the data authority the GTM team trusts. You own 15+ dashboards and automated reports covering every marketing and sales metric that matters. You've conducted deep-dive analyses on channel mix, attribution, and customer journey that directly informed budget allocation and strategy shifts. You've experimented with 4-5 different AI analytics platforms and have clear opinions on which tools work best for different analysis types. You've built predictive models for pipeline generation and campaign performance. The team confidently makes data-driven decisions because they trust your insights, and you're proactively identifying trends and opportunities before they become obvious.

You have the following experience and qualities:

You're fluent with data tools and platforms. You can navigate Salesforce, Google Analytics, paid ad platforms (Google Ads, LinkedIn, Meta), email analytics systems, and BI tools. You can pull data, query databases, or write simple SQL to get what you need. You're comfortable in Excel/Google Sheets and can build complex formulas, pivot tables, and data models.

You have hands-on experience with AI-powered analytics platforms like Infinigrow, Amoeb.ai, Crayon, Dimension, or similar tools. You understand how these platforms work, can interpret their recommendations, and can operationalize their insights into marketing action.

You obsess over marketing metrics and understand GTM deeply. You know the difference between MQL, SQL, and pipeline. You understand CAC, LTV, payback period, and attribution. You think about the full funnel—not just top-of-funnel vanity metrics. You care about what actually drives revenue, not just clicks or impressions.

You're actively exploring the AI analytics landscape. You follow the analytics space on Twitter/X, LinkedIn, and newsletters. You experiment with new tools when they launch. You understand how AI can surface insights faster, predict trends, and automate mundane analysis so you can focus on strategy.

You hate incomplete data and bad dashboards— and your instinct is to fix them. If you see a metric that doesn't make sense, you dig into the definition and the source. If a dashboard is confusing, you redesign it. You're obsessed with accuracy and clarity.

You're comfortable with ambiguity and learning fast. You don't need to know every tool on day one, but you're resourceful, curious, and can figure things out quickly. You ask good questions, research effectively, and ship analysis fast.

You think systematically about data. You understand data flows, dependencies, and what breaks when things change. You can design analytics systems that are maintainable, trustworthy, and scale as the business grows. You think about data quality, validation, and what could go wrong.

You thrive in fast-paced, ambiguous environments. You're excited to work where marketing strategy, tools, and best practices evolve weekly. You don't need perfect data to start—you iterate, you improve, and you course-correct based on what you learn.

You communicate clearly and tell stories with data. You can take a complex analysis and explain it to executives, marketers, and salespeople in language they understand. You know when to show numbers and when to show a chart. You're collaborative, you love enabling others to make better decisions, and you're excited to democratize data access across the GTM team.

You have a builder's mindset— you iterate fast, you're comfortable with 80% done today rather than perfect in three weeks, and you ship continuously. You prefer shipping a useful dashboard to perfection paralysis.

Perks:

You'll get hands-on experience with the latest AI analytics and marketing intelligence tools—staying on the cutting edge as the space evolves rapidly. You'll work with real GTM data, build systems that influence strategy and revenue, and develop analytical skills that set you apart. You'll learn how to connect data to business impact, build dashboards that matter, and become the data expert your team relies on. You'll ship real analytics products that scale across the organization, and you'll build a portfolio of work that demonstrates mastery of modern marketing analytics and AI-powered insights.

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