Analytics Mentoring. Grow your data analytics skills - individually and practically.

Analytics Mentoring Individual support

One-on-one sessions on GA4, Power BI, Python and BigQuery - for your career goals, not a generic course template

You are moving into analytics, levelling up as a GA4 specialist or building BI skills - but you lack someone to walk through your project, not a generic tutorial. Mentoring means regular 1:1 sessions, a development plan, feedback on work tasks and access to knowledge from dozens of client implementations. A different format than group training for teams - here your pace and your stack matter.

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Does this sound familiar?

You want to enter analytics but don't know where to start

Many online courses, little structure - you need a roadmap and first portfolio projects.

You run GA4 but don't feel confident

Reports “work”, but GTM debug, BigQuery and advanced explorations are still unknown territory.

A new role requires a fast skills jump

Marketing → analyst, junior → mid - you need a mentor, not another generic course.

You want to add Python / SQL / BI to web analytics

Report automation, BigQuery, Power BI - learning on real work tasks.

You need a second opinion on a project

Measurement plan, data architecture, tool choice - review before rollout at a client or in-house.

Training a whole team, not one person?

Group workshops work better - analytics training for companies.

How mentoring works - 4 steps

  1. 01

    Goal diagnosis

    Where you are today, where you want to be (role, projects, optional certifications). We define areas: web analytics, BI, Python, cloud.

    Deliverable: skills map + 3-6 month priorities
  2. 02

    Development plan

    Session schedule, tasks between meetings, materials and tools (including free resources from calculators).

    Deliverable: mentoring plan + session package
  3. 03

    1:1 sessions

    Online or on-site. Review of your work, live coding, GA4/GTM debug, report review - not “slides for 2 hours”.

    Deliverable: session notes + action items
  4. 04

    Progress review

    Every 4-8 weeks: does the plan work, what to change, do you need project support (subscription) instead of pure mentoring.

    Deliverable: progress summary + next steps

Offer - mentoring areas

Web analytics (GA4, GTM)

Implementation, debug, ecommerce, server-side, Consent Mode. From first events to auditing your own setup.

GA4GTMsGTM

BI and reporting

Power BI, Looker Studio, data models, visualisations for business KPI, not just “nice charts”.

Power BILookerKPI

BigQuery and SQL

GA4 export, SQL queries, data pipeline basics. When UI reports are not enough.

BigQuerySQLGA4 export

Python and automation

Pandas, reports, API integrations, Apps Script. Less manual work in Excel.

PythonAutomationAPI

Career and projects

Portfolio, interviews, client project scope, pricing analytics services (freelance / consulting).

CareerPortfolioConsulting

Engagement formats

Session packages (e.g. 5×90 min), monthly retainer or ad-hoc before a critical project deadline.

1:1OnlinePL / EN
  • For whom: people entering analytics, GA4/BI specialists growing skills, freelancers building their offer.
  • Model: session package or monthly retainer; language PL or EN.
  • Outcome: measurable skill progress and confidence in daily data work.
  • Not a substitute for client implementation: full technical projects are delivered via implementation or audit - mentoring develops your skills.

Sample development paths

Path: Web Analyst

GA4 + GTM + Looker Studio → ecommerce → BigQuery basics → data quality audit.

Path: BI Analyst

Power BI / Looker → data model → integrations → report refresh automation.

Path: Data Analyst (hybrid)

SQL + Python + GA4 export → connecting marketing with product / CRM data.

Path: Consultant / freelancer

Project scope, client communication, pricing, deliverables - building your own practice.

Krzysztof Surowiecki

Krzysztof Surowiecki. For years I have helped companies structure analytics so leadership, marketing and sales work from a single version of the truth.

  • End-to-end expertise: audit, implementation, reporting and ongoing data environment development.
  • Business perspective: recommendations focused on margin, profitability and growth pace.
  • Clear methodology, transparent communication and full confidentiality on every project.

Trust - why clients hand me their analytics

20+years of experience
150+projects
50+clients
7expert tools
  • One accountable person: I do not pass projects between departments - you work directly with me.
  • Consulting approach: diagnosis and priorities first, then implementation with measurable business impact.
  • Confidentiality and security: NDA and work standards suited to data-sensitive organisations.

Contact - let's take the first step

Tell me about your career goals and current level. In a consultation I will propose mentoring format, development plan and quote - no obligation.

  • Discussion of goals, experience and preferred stack.
  • Session package or mentoring retainer proposal.
  • First session schedule and working rules (NDA on request).
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