NICK Digital Agency

About the Company

NDA (NICK Digital Agency) is a digital boutique agency working with B2B clients, e-commerce brands, and digital startups in the DACH market. We build demand generation and performance systems — not one-off campaigns. The team is lean, fully remote, and operates without bureaucracy: direct communication, no account managers, results over process.

We're in an active growth stage and looking for an analyst to own the data layer in our delivery.

About the Role

This is not a dashboarding or reporting role.

Your job is to identify where revenue is lost, explain why it happens, and quantify the business impact. You'll work directly with the founder, get full access to clients' revenue stack (CRM, ad accounts, financials), and own the analytical deliverables that drive client decisions.

You will cover three core products:

• Revenue Architecture Diagnostic
• AI Visibility Audit
• AI Revenue Operations Audit

What You'll Do

• Intake and process data from GA4, CRM, ad accounts, and email platforms
• Build attribution views and detect tracking gaps
• Calculate CAC, LTV, payback period, and margin from real client data
• Run funnel drop-off analysis and revenue leak detection
• Run citation testing for AI Visibility audits — testing how clients appear across AI-driven search platforms (40–60 queries × 5 platforms per audit)
• Support process mapping for AI RevOps audits
• Write revenue audit reports (30–45 pages) and process audit reports (25–35 pages)
• Build ROI projection models in Excel / Google Sheets

Key Expectations

• Own 3–4 client audits in parallel at different stages of delivery
• Work autonomously — no step-by-step guidance, no micromanagement
• Identify both revenue leaks and growth upside — not just surface numbers
• Translate findings into clear, decision-ready business insights
• Back up every recommendation with revenue logic and ROI modeling
• Write well — analytical writing quality directly affects client output quality

Requirements

Must Have

• 3+ years in a performance, growth, or analytics role — B2B, SaaS, or digital agency context
• GA4 at an advanced level: event-based tracking, conversion paths, attribution models — building setups from scratch, not just reading them
• One BI tool (Looker Studio, Metabase, Tableau, or PowerBI) — building self-sufficient dashboards independently
• Excel / Google Sheets advanced: pivot tables, financial modeling, lookups, conditional logic
• Basic SQL: SELECT, JOINs, GROUP BY
• Strong analytical writing — ability to turn data into business-visible, human-readable insights
• Structured analytical thinking with a business-outcomes orientation
• English B2+

Nice to Have

• HubSpot or Salesforce admin-level access
• CRM attribution tools: Dreamdata, HockeyStack, or similar
• Mixpanel or Amplitude
• Basic Python for data wrangling
• GA4 → BigQuery → Looker integration
• SaaS metrics fluency: MRR, NRR, GRR, churn cohorts
• DACH market experience
• German B1+ (German-speaking candidates are prioritized)

This Role Is NOT a Fit If You

• Treat analytics as dashboards and figures without interpretation behind them
• Cannot explain clearly why a channel or funnel step is underperforming
• Rely on pre-built data infrastructure and cannot build setups from scratch
• Are not comfortable working with messy, fragmented, multi-source client data
• Cannot back up recommendations with revenue modeling
• Are looking for a permanent salaried position from day one — this engagement starts as freelance/contractor

Work Conditions

• Format: Fully remote, async-first communication
• Timezone: Ukraine or CET
• Engagement type: Freelance / contractor — starting at ~20 hrs/week, scaling to full load based on delivery performance
• No probation period: The first project is the screen. Results delivered → engagement continues and grows.
• Growth path: Permanent employment (Festanstellung) option opens at the 6+ month mark

Selection Process

1. CV review
2. Recruiter screening call
3. HM Case Interview with CEO — you'll receive a real business dataset before the call (GA4 export + CRM data + ad spend across 2–3 channels) and walk through your findings live. The case covers funnel leak detection, tracking gap identification, and revenue modeling. This replaces a traditional test task.
4. Referral check
5. Offer call

Who We're Looking For

You've worked with fragmented, multi-source client data. You build the infrastructure when it doesn't exist. You know how to turn analytical findings into a story a CEO or CMO will act on — and you can model the revenue impact behind every recommendation. If you need a fully built data stack and a detailed brief to get started, this role isn't the right fit.

We are looking for an SEO & AI Search Visibility Specialist to own the technical and analytical delivery of our AI Visibility Audit product — the diagnostic that shows clients how their brand performs in ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, and what to do about it.

The DACH market in 2026 treats GEO/AEO as a must-have, but mature providers with a real methodology are scarce. This role is for someone who has actually run citation tracking in production — not someone who added "GEO" to their title last year.

You will work directly with the founding team and clients. No intermediary layers. 3–4 concurrent audits at different stages is the expected pace.

Fully remote and async. No probation period — the first audit serves as the screen. Direct relationship with the founder and clients, no account management layer.

Key responsibilities

• Run citation testing across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — 40–60 queries × 5 platforms per audit
• Branded vs. non-branded query testing; competitor visibility benchmarking (3–5 competitors per audit)
• Entity recognition checks: Wikipedia, Wikidata, knowledge graph, Crunchbase, G2
• Technical AI-readiness audit: schema markup, structured data, FAQ blocks, llms.txt, robots.txt for AI crawlers, content structure for passage-level retrieval
• Content gap analysis — which intent categories competitors own, which are still open
• Build a 90-day GEO/AEO roadmap with prioritization and effort estimates per client
• Cover the SEO layer within the Digital Infrastructure component of the Revenue Architecture Diagnostic
• Support the Lead Consultant during AI Visibility final client presentations

Requirements 

• 3–5 years in SEO + hands-on GEO/AEO experience in 2025–2026 (citation tracking, AI visibility monitoring in production)
• Advanced technical SEO: Screaming Frog, Google Search Console, Ahrefs or Semrush
• Schema.org and structured data — own implementation, not just coordination with developers
• Knows llms.txt and AI crawler robots.txt directives
• Understands passage-level optimization, query fan-out, and entity recognition as real practices
• Can produce analytical technical visualizations: citation heatmaps, gap maps (not just checklists)
• English B2+
• Ready to work as a contractor from day one (no full-time from the start)
• Can share real audit examples (anonymized / blurred body is fine)

Nice to have

• Experience with AI visibility tooling: Profound, Otterly, Conductor AEO, AthenaHQ
• German B1+ — critical for client work with DACH SMB clients
• B2B / SaaS experience in DACH markets
• Basic Python or JavaScript for automating citation testing
• Multilingual SEO expertise: DE / AT / CH markets

• Content strategy beyond auditing — able to develop actionable recommendations, not just identify gaps
   

  Tech stack: Ahrefs or Semrush, Screaming Frog, Google Search Console, Schema.org / Structured Data, Notion, GA4, GTM Profound Otterly, AthenaHQ.
  
  Recruitment process:
  1. Recruiter screening
  2. HM tech/case Interview
  3. Reference check
  4. Offer

NDA (NICK Digital Agency) is a lean, fully remote digital boutique working with B2B clients, e-commerce brands, and digital startups across the DACH market. We build demand generation and performance systems — not one-off campaigns. No account managers, no bureaucracy. Direct communication, results over process. 

We're growing and looking for a Digital Analytics Consultant to own the analytical layer across client engagements.

WHAT THIS ROLE IS

This is not a dashboarding job. 
Your core task: find where revenue leaks, explain why, and quantify the business impact. You'll work directly with the founder, get full access to clients' revenue stacks (CRM, ad accounts, financials), and own the deliverables that drive client decisions. 

You'll cover three core products: 
– Revenue Architecture Diagnostic 
– AI Visibility Audit 
– AI Revenue Operations Audit

WHAT YOU'LL DO

– Ingest and process data from web analytics platforms, CRM, ad accounts, and email tools
– Build attribution models and detect tracking gaps across the funnel
– Calculate CAC, LTV, payback period, and margin from real client data
– Run funnel drop-off and revenue leak analysis
– Run citation testing for AI Visibility audits (40–60 queries × 5 platforms per audit)
– Support process mapping for AI RevOps audits
– Write revenue audit reports (30–45 pages) and process audit reports (25–35 pages)
– Build ROI projection models in Excel / Google Sheets

WHAT WE EXPECT

– Own 3–4 client audits in parallel at different delivery stages
– Work autonomously — no step-by-step briefs, no micromanagement
– Surface both revenue leaks and growth upside — not just metrics
– Translate findings into decision-ready insights for CEOs and CMOs
– Back every recommendation with revenue logic and ROI modeling
– Write well — analytical writing quality directly affects client output

THIS ROLE IS NOT FOR YOU IF

– You treat analytics as dashboards and reports without interpretation
– You rely on pre-built data infrastructure and can't build from scratch
– You're not comfortable with messy, fragmented, multi-source client data
– You can't back up recommendations with revenue modeling
– You're looking for a permanent salaried position from day one

CONDITIONS

– Fully remote, async-first
– Contract / freelance start — ~20 hrs/week, scaling with delivery performance
– No probation: the first project is the screen
– Path to Festanstellung opens at the 6+ month mark

SELECTION PROCESS

CV review → Recruiter screening → Case Interview with CEO (real dataset: web analytics export + CRM + ad spend, live walkthrough) → Referral check → Offer

We are looking for an SEO & AI Search Visibility Specialist to own the technical and analytical delivery of our AI Visibility Audit product — the diagnostic that shows clients how their brand performs in ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, and what to do about it.

The DACH market in 2026 treats GEO/AEO as a must-have, but mature providers with a real methodology are scarce. This role is for someone who has actually run citation tracking in production — not someone who added "GEO" to their title last year.

You will work directly with the founding team and clients. No intermediary layers. 3–4 concurrent audits at different stages is the expected pace.

Fully remote and async. No probation period — the first audit serves as the screen. Direct relationship with the founder and clients, no account management layer.

Key responsibilities

• Run citation testing across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — 40–60 queries × 5 platforms per audit
• Branded vs. non-branded query testing; competitor visibility benchmarking (3–5 competitors per audit)
• Entity recognition checks: Wikipedia, Wikidata, knowledge graph, Crunchbase, G2
• Technical AI-readiness audit: schema markup, structured data, FAQ blocks, llms.txt, robots.txt for AI crawlers, content structure for passage-level retrieval
• Content gap analysis — which intent categories competitors own, which are still open
• Build a 90-day GEO/AEO roadmap with prioritization and effort estimates per client
• Cover the SEO layer within the Digital Infrastructure component of the Revenue Architecture Diagnostic
• Support the Lead Consultant during AI Visibility final client presentations

Requirements 

• 3–5 years in SEO + hands-on GEO/AEO experience in 2025–2026 (citation tracking, AI visibility monitoring in production)
• Advanced technical SEO: Screaming Frog, Google Search Console, Ahrefs or Semrush
• Schema.org and structured data — own implementation, not just coordination with developers
• Knows llms.txt and AI crawler robots.txt directives
• Understands passage-level optimization, query fan-out, and entity recognition as real practices
• Can produce analytical technical visualizations: citation heatmaps, gap maps (not just checklists)
• English B2+
• Ready to work as a contractor from day one (no full-time from the start)
• Can share real audit examples (anonymized / blurred body is fine)

Nice to have

• Experience with AI visibility tooling: Profound, Otterly, Conductor AEO, AthenaHQ
• German B1+ — critical for client work with DACH SMB clients
• B2B / SaaS experience in DACH markets
• Basic Python or JavaScript for automating citation testing
• Multilingual SEO expertise: DE / AT / CH markets

• Content strategy beyond auditing — able to develop actionable recommendations, not just identify gaps
   

  Tech stack: Ahrefs or Semrush, Screaming Frog, Google Search Console, Schema.org / Structured Data, Notion, GA4, GTM Profound Otterly, AthenaHQ.
  
  Recruitment process:
  1. Recruiter screening
  2. HM tech/case Interview
  3. Reference check
  4. Offer

We're hiring a Senior SEO Specialist to own the technical and analytical delivery of our AI Visibility Audit — the diagnostic that shows clients how their brand performs in ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, and what to do about it.
 

This is a senior technical SEO role with a clear specialization track into GEO/AEO. The DACH market in 2026 treats AI search visibility as a must-have, but providers with a real methodology are scarce — we have one. If you've already run citation tracking in production, great. If you're a strong technical SEO ready to go deep on AI search, we'll ramp you on our methodology and tooling.

You'll work directly with the founding team and clients — no intermediary layers, no account management layer. 3–4 concurrent audits at different stages is the expected pace. Fully remote and async. No probation period — the first audit serves as the screen.
 

Key responsibilities

• Run citation testing across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — 40–60 queries × 5 platforms per audit
• Branded vs. non-branded query testing; competitor visibility benchmarking (3–5 competitors per audit)
• Entity recognition checks: Wikipedia, Wikidata, knowledge graph, Crunchbase, G2
• Technical AI-readiness audit: schema markup, structured data, FAQ blocks, llms.txt, robots.txt for AI crawlers, content structure for passage-level retrieval
• Content gap analysis — which intent categories competitors own, which are still open
• Build a 90-day GEO/AEO roadmap with prioritization and effort estimates per client
• Cover the SEO layer within the Digital Infrastructure component of the Revenue Architecture Diagnostic
• Support the Lead Consultant during AI Visibility final client presentations
   

What we're looking for (must-have)

• 3–5 years in SEO with strong technical and analytical delivery
• Advanced technical SEO: Screaming Frog, Google Search Console, Ahrefs or Semrush
• Schema.org and structured data — own implementation, not just coordination with developers
• Can produce analytical technical visualizations (citation heatmaps, gap maps), not just checklists
• A strong SEO foundation plus a genuine drive to specialize in AI search — whether you've already done GEO/AEO or are ready to own it now
• English B2+
• Ready to work as a contractor from day one (no full-time from the start)
• Can share real SEO audit examples (anonymized / blurred body is fine)
   

GEO/AEO — experience welcome, willingness essential You'll work with these concepts daily; prior hands-on experience is a strong plus, and we teach the rest on our methodology:

• llms.txt and AI crawler robots.txt directives
• Passage-level optimization, query fan-out, entity recognition as real practices
• Citation tracking and AI visibility monitoring in production
   

Nice to have

• Hands-on GEO/AEO experience in 2025–2026 (production citation tracking / AI visibility monitoring)
• AI visibility tooling: Profound, Otterly, Conductor AEO, AthenaHQ
• German B1+ — for client work with DACH SMB clients
• B2B / SaaS experience in DACH markets
• Basic Python or JavaScript for automating citation testing
• Multilingual SEO expertise: DE / AT / CH markets
• Content strategy beyond auditing — actionable recommendations, not just gap identification
   

Tech stack: Ahrefs or Semrush, Screaming Frog, Google Search Console, Schema.org / Structured Data, Notion, GA4, GTM, Profound, Otterly, AthenaHQ.
 

Recruitment process: 1) Recruiter screening → 2) HM tech/case interview → 3) Reference check → 4) Offer