Consultor Data Analytics Madrid B2B mid-market · senior accountability. Cronuts.digital opera Madrid en modelo híbrido remoto + sprints presenciales. Business Intelligence + Looker Studio + BigQuery + Tableau + Power BI + data warehousing + closed-loop CRM + revenue attribution.
Servicio Consultor Data Analytics Madrid · qué incluye
- Audit data stack actual · GA4 + CRM + ERP + paid channels.
- Data warehouse setup · BigQuery / Snowflake / Redshift.
- ETL/ELT pipelines · Fivetran / Airbyte / Stitch + dbt transformations.
- BI dashboards · Looker Studio (free) / Tableau (enterprise) / Power BI / Metabase.
- Marketing attribution multi-touch · revenue waterfall + cohort analysis.
- Executive KPIs framework · 8 KPIs core B2B (Marketing Pipeline + CAC + LTV/CAC + Payback + etc).
- Predictive analytics ML · churn prediction + lead scoring + LTV forecasting.
Stack data analytics B2B canónico
- Data warehouse · BigQuery (GCP) / Snowflake / Redshift (AWS).
- ETL/ELT · Fivetran / Airbyte / Stitch managed connectors.
- Transformation · dbt (data build tool) modular + versioning git.
- BI visualization · Looker Studio (mid-market sweet spot) / Tableau (enterprise) / Power BI (Microsoft stack) / Metabase (open-source).
- Source connectors · GA4 export + HubSpot/Salesforce + Holded + Stripe + Google Ads + Meta + LinkedIn + SE Ranking.
- ML / Predictive · BigQuery ML + Python (Pandas/scikit-learn) + Vertex AI.
8 KPIs ejecutivos B2B canónicos
- Marketing-sourced Pipeline · € pipeline atribuido marketing.
- CAC · Customer Acquisition Cost (blended / paid / fully-loaded).
- SQL-to-Win Rate · % SQL que cierran.
- Average Deal Size (ACV) · ticket promedio.
- CAC Payback Period · meses recovery CAC.
- Sales Cycle Length · días Lead → Won.
- Pipeline Coverage · pipeline / quota ratio (target 3-5x).
- Channel-attributed Pipeline · revenue per canal multi-touch.
Looker Studio vs Tableau B2B mid-market
- Looker Studio · free + native GA4/BigQuery + sweet spot 5-50M€ revenue.
- Tableau · enterprise >50M€ multi-source complex + governance + scalability.
- Power BI · Microsoft stack (Azure + Office 365 integrated) + competitive pricing enterprise.
- Metabase · open-source alternative + self-hosted + costo bajo.
Closed-loop CRM mandatory
- Won deals CRM → analytics · revenue atribuido por canal/cohort.
- Marketing-sourced Pipeline · attribution multi-touch W-shaped/data-driven.
- HubSpot/Salesforce native integration · BigQuery export + dbt transformations.
- Server-side GTM · 25-40% conversion recovery via sGTM.
- Enhanced Conversions · email hashed server-side matching.
Resultados típicos data analytics B2B
- -60% horas reporting manual · automation dashboards.
- +25-40% conversion attribution recovery · sGTM + Enhanced Conversions.
- Forecast accuracy ±10% · predictive ML vs sales pipeline gut feeling.
- Executive decision speed · real-time dashboards vs monthly reports.
- Payback 4-7 meses · según ACV + complexity.
Precios transparentes
- Hora consultoría senior · 150-250€/h.
- Audit + tracking plan · 4.500-12.000€ puntual.
- Setup data warehouse + BI · 8.500-25.000€ proyecto.
- Retainer analytics · 3.500-5.500€/mes.
- Marketing analytics premium · 5.500-12.000€/mes.
- ML predictive setup · 12.000-30.000€ proyecto.
FAQ Data Analytics Madrid
¿BigQuery o Snowflake B2B mid-market?
BigQuery default GCP stack (GA4 + Ads native) sweet spot mid-market. Snowflake multi-cloud enterprise + advanced governance + sharing data marketplace. Costo Snowflake típicamente 30-50% mayor que BigQuery per TB.
¿Looker Studio gratis enough?
Sweet spot mid-market 5-50M€. Limitations: 1.000 datasource refreshes/day + complex calculations + governance. Tableau enterprise >50M€ + complex multi-source + extensive user permissions + scheduled refreshes + version control.
¿Cuánto tarda setup analytics production?
Stack base 6-10 semanas. Closed-loop CRM + multi-touch attribution: +6-10 semanas. Total 12-20 semanas deployment full production-grade B2B mid-market.
¿Data analytics B2B Madrid sin closed-loop? Diagnóstico digital gratuito →