I help entry-level, non-technical professionals get their first data analyst role | Data Analyst @RBC | Data Career Coach

I help immigrants and career-switchers land analyst roles—without burning out on certificates.

By day I build decision-grade analytics (currently at Autodesk). By night I run Data Career Compass, where we treat your job search like a product launch:
Market → Positioning → Portfolio → Distribution → Interviews.

My POV:
Most candidates try to add more tools. Winners learn to package their value. Your portfolio isn’t a gallery; it’s a sales page for your judgment.

Receipts:

→ Professionals land interviews by aligning projects to business outcomes (not toy datasets).

→ My frameworks have been used across finance, tech, and education to translate experience into results.

→ Built data products and controls in regulated environments (RBC Capital Markets) that leaders rely on daily.


What you’ll get here:

→ Weekly breakdowns of real projects (SQL, Python, dbt, DuckDB, Looker/Tableau/Power BI).

→ Storytelling patterns that turn insights into action.

→ Templates that remove friction: portfolio briefs, stakeholder one-pagers, interview scorecards.

Coming April:

I’m launching a coaching program designed for mid-level and senior professionals ready to transition into analytics.

This isn’t an entry-level bootcamp—it’s a career accelerator that helps you reposition your existing experience, communicate business value, and step confidently into data-driven roles.

Work with me:

↳ Cohorts + 1:1 coaching → DM “HIRED”

↳ January program for mid/senior professionals → DM “APRIL” for early access

↳ Guest workshops for teams and communities → DM “WORKSHOP”


I build analysts who think like product managers and communicate like consultants.

Peter Ndiforchu

Every data analyst has lived through this meeting.

Dashboard says: $1.2M
Finance says: $1.1M

Meeting topic for the next 45 minutes:

“Where did the $100K go?”

First theory:
Maybe a filtering issue.

Second theory:
Currency conversion.

Third theory:
Time zone mismatch.

Fourth theory:
Someone forgot to refresh the data.

Meanwhile the analyst is quietly thinking:

“Please don’t be a duplicated join. Please don’t be a duplicated join. Please don’t be a duplicated join.”

45 minutes later…

Root cause:

Someone exported the numbers to Excel
…and manually deleted a row “that looked wrong.”

New meeting scheduled:

“Aligning reporting methodology across teams.”

Welcome to data analytics.

Where 90% of the job is not finding insights…

It’s explaining why two numbers that should match… don’t.

If you’ve ever spent an hour chasing a mysterious variance in a meeting, you’re officially part of the club. 📊😅

Helping Non-Technical Professionals Build Data-Driven Careers That Travel Globally | Data Career Strategist | Senior Data Analyst @ Autodesk

Data Analyst

Helsinki Data Week

Save the date: Oct 28 to 31, 2025
www.helsinkidataweek.fi

Founder

Teosto

Data Analytics Lead

Business Development Manager

Customer Relations Manager

Customer Service Manager

Customer Service Advisor

Joensuun Popmuusikot ry

Producer

Levy-Eskot (Maailman Ääni ja Valo Oy)

Record Store Clerk

Ilosaarirock (Joensuun Popmuusikot ry / Joensuun Nuori Rytmi Oy)

Merchandise Manager

Kerubin Kuppila (Joensuun Nuori Rytmi Oy)

Promoter

Data Analytics | Data Visualization | Business Intelligence | Data & AI Strategy and Product Management | Music | Writing a book on ggplot2 extensions (R packages)

I've always been curious about systems and how they work. Especially how they can be improved. And I don't only mean technological systems. My curiosity has led me to learn a bunch of technical skills on the way, but everything starts (and ends) with people!

If I have a superpower, it’s the ability to translate between the business and IT. This is something I've been doing for more than 10 years now. Regardless of the role I've had and way before I started learning about data. Also to be able to take a BI project from a business pain point to a finished product. Mostly by myself (one good data engineer to work with is all I need to be happy). Not counting the business stakeholders. I like to have them in the loop to make sure what is being built a) solves the problem it was meant to AND b) gets used.

I am skilled in data analytics, BI, data & AI product management and/or strategy. I have experience managing a team of 10. And I'm comfortable leading without formal authority.

I like to write (currently writing my first technical book). My blog posts have garnered attention. They even ended up on the pages of the biggest newspaper in Finland, Helsingin Sanomat. My domain expertise lies in the touchpoint of music, copyrights, and (generative) AI.

Here are some of the highlights from the last two roles (business development and data analytics lead) I had at Teosto:

2020
💠 Designed a dashboard and related taxonomy for the customers (music creators). Before this, they could only see part of their distribution information online. The rest of it was on PDFs containing thousands of pages.

2022
💠 I set up a data function from scratch (inside the business development organization). Led a virtual data team that laid down the groundwork for future data work at Teosto.
💠 I initiated an information request process for the whole organization. It was easy for the people (email service desk) and the data team (JIRA tickets). Less overhead, better requests, more communication between business and IT. Thousands of hours saved.
💠 I built Teosto's first production BI dashboard. To quote a former Teosto executive, it "[b]uilt from scratch Teosto’s capability to track foreign distributions" and helped to get to "all-time high foreign royalty distributions to Teosto members in 2022 with a 25% year-on-year increase".

2023
💠 I helped build Teosto's first-ever data strategy (we started with a data maturity analysis in 2022). Completely business-driven.

ps. When I'm not doing data, I'm probably somewhere, singing!

Antti Rask 🦜

Q: What captures all the colors and keeps them separated?
A: Maximum security prism.
Jokes aside, a new version of my col2hexcol R package, has landed on CRAN!

This is the second version to hit CRAN, but there have been multiple updates between 0.3.1 and 0.5.3. Here are the highlights (full Changelog can be found on the col2hex2col page on my site, youcanbeapirate):

⭐ hex_to_color(): Added nearest color fallback functionality
- When no exact match exists, returns the closest named color using LAB color distance
- Requires optional farver package for color distance calculations
- New fallback_nearest_color parameter (default: TRUE) to enable/disable fallback
- New fallback_distance parameter to get the LAB distance to the matched color
- Added Yann Cohen as contributor for the fallback functionality

⭐ create_color_table(): First added LAB columns and then enhanced column labeling
- LAB columns now display as “Lab L”, “Lab a”, “Lab b” instead of raw column names
- First column is automatically labeled “Color Name” regardless of input column name

⭐ Data: Updated color database with 29 new colors from the color-names repository

To try out the package, just run install.packages("col2hex2col") in R!

There have already been 249 downloads / month and I'm happy about each of them!

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🦜 Want more content like this in your LinkedIn feed? Click 'follow' and the 'notification bell' on my profile! 🔔 Or go to Substack (youcanbeapiRate and/or ggplot2 extended) 📚

BI | R: RandomWalker package (co-author), col2hex2col package (author), TuneTeller app (author), BiblioStatus app (author) and the author of the upcoming book ggplot2 extended l Helsinki Data Week (founder)

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