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Filip Olender

Filip Olender · Senior Data & AI

I bring AI into analytics teams — safely.

I make AI work and data talk — with systems that are validated and auditable.

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Download CVfilip.olender@gmail.com

Open to Senior Data & AI roles.

Portrait of Filip Olender
Teams I’ve worked with
Revolut · Allegro · OLX
AI automation systems built
4
AI products live
2
Working with data since
2015

Watch AI clean up a report. Safely.

Press Run. Four messy inputs become one leadership report — and a failed check never goes quiet.

Inputs · four people, four formats, week 41

  • Anna’s Excel

    Excel

    Rev. 33.1k

  • BI export

    BI tool

    revenue_pln: 148320.00

  • Tom’s sheet

    Google Sheets

    — missing

  • Warehouse

    SQL

    31900

  1. Collect

    Waiting

  2. UnifyAI

    Waiting

  3. Validate

    Waiting

  4. Publish

    Waiting

Leadership report · Week 41

Starting in a moment…

Demo data, simulated in your browser. Based on a real client project, where weekly C-level reporting went from a week of work for 4–5 people to about an hour. Read the case study

What I’d bring to your team.

Your most painful report, automated.

I find the report that eats your team’s week and turn it into a pipeline that runs on its own.

C-level reporting: a week of work for 4–5 people → about an hour.

Read the case study

AI your leadership can trust.

AI unifies the messy bits. Everything else is deterministic — and a failed check triggers an alert.

The demo above, plus an agent that verifies tracking after every release.

See what I’ve shipped

Data depth. AI systems.

SQL, Looker, experimentation since 2015 — and the AI pipelines on top. Revolut Finance Core to OLX and Allegro.

I also teach SQL and A/B testing at Mate Academy.

History and references

Shipped.

Four AI systems and two live products. Client names stay confidential — each diagram shows how the system works.

  • AI agent
  • Person
  • Automation or input / output

Automated C-level reporting

A week of work for 4–5 people now takes about an hour.

Read the case study
  1. Data sources (Input / output)
  2. n8n collects (Automation)
  3. AI unifies formats (AI agent)
  4. Validation checks (Automation)
  5. Report published live (Automation)

  • Event tracking agent, from Figma to Amplitude

    Product managers get verified, analysis-ready dashboards for each feature.

    1. Figma design (Input / output)
    2. Event spec (AI agent)
    3. Developer implements (Person)
    4. Event verification (AI agent)
    5. Amplitude dashboard (AI agent)

  • Autonomous marketing engine

    One brand brief in, ready-to-publish content for every channel out.

    1. Brand brief (Person)
    2. Copy and ads (AI agent)
    3. Visuals and video (AI agent)
    4. Voice-over and music (AI agent)
    5. Ready to publish (Input / output)

  • Two “second brain” agents

    One prompt to a live website, with no manual steps.

    1. One prompt (Person)
    2. Research and brainstorm (AI agent)
    3. Build the site (AI agent)
    4. Buy the domain (AI agent)
    5. Deploy (AI agent)

Live products.

PodDigest

Every podcast. Your format. Your inbox.

1,400+ summaries generated (Oct 2026)

Visit site
Screenshot of PodDigest

Zaplanuj Leczenie

Treatment plans as professional as your work.

Visit site
Screenshot of Zaplanuj Leczenie

Trusted by teams that run on data.

  • Revolut
  • Allegro
  • OLX
  • Capital.com
  • Mosaic Group
  • Payoneer

What colleagues say.

“Filip played a crucial role in turning data into actionable insights at Mosaic Group. His deep understanding of our martech stack — Looker, Snowflake, Braze, and Amplitude — combined with sharp strategic thinking made him an invaluable part of the team. His dedication and expertise will continue to make a positive impact wherever he goes.”

Lee BrineMarketing & Growth Leader, Mosaic Group

“Filip's ability to dive deep into data, extract meaningful patterns, and translate them into actionable CRM strategies was consistently impressive. His insights directly contributed to the success of several campaigns for the Clime app — and beyond his technical skills, he's the kind of teammate who raises the bar for everyone around him.”

Lada BalakirevaCRM Manager, AviasalesWorked together at Mosaic Group

“Filip supported Adevinta Italy through a complex data transformation — migrating from global to local capabilities. He handled competitive intelligence, report automation, and data integration with confidence. Strong SQL, a sharp analytical mindset, and genuinely positive to work with.”

Micaela VerzeroliHead of Business Analytics, Subito (Adevinta)Client project at DMC

Source: recommendations on LinkedIn.

Where I’ve worked.

  1. DMC

    Data Analyst (Freelancer)Analyzing complex datasets for global clients in Fintech, e-commerce, and gaming.Clients: OLX, Allegro, Subito (Adevinta), Payoneer

  2. Revolut

    Data Analyst (Product)Specialized in Finance Core team, transforming complex data into actionable insights.

  3. Mosaic Group

    CRM Data AnalystCombined marketing expertise with data analysis to enhance CRM campaigns.

  4. Nobi

    Senior Digital Data AnalystLed digital data analysis projects to improve marketing strategies.

  5. Capital.com

    Marketing Data AnalystConducted comprehensive marketing analysis focusing on Fraud Analysis, Performance, and Retention.

  6. Earlier

    Marketing Manager at Dream Machines, Assistant Marketing Manager at Burger King.

Tools: SQL, Python, LookML, Looker, Tableau, BigQuery, Snowflake, Airflow, Amplitude, Claude, n8n, Hermes, OpenClaw.

Full history and recommendations on LinkedIn

Want AI in your analytics, done safely? Let’s talk.

LinkedIn is the fastest way to reach me.

View LinkedIn profile

Download CVfilip.olender@gmail.com