← Work / № 004 / Mindshare · Klick Health
Mindshare & Klick Health
Technical work, that's when I became a SQL and Tableau person.
| Client | Mindshare · Klick Health |
| Year | 2017–2018 |
| Role | Data & Analytics |
| Stack | SQL · Python · Tableau · Automation |
| Tag | Analytics · Automation · Data |
— The Context
Here I'll be adding Mindshare and Klick Health experiences in one entry because they were very similar roles. I performed Data and Analytics work, more technical this time.
But let me get started with Mindshare, since it was my first job in Canada.
At the time, I thought I would probably need to take a step back in my career. Well, new country, new market, new language. And spoiler: I wasn't exactly proficient in English when I joined Mindshare.
But I could communicate telling stories about my findings and that's exactly how I got the job.
It was in fact 2 jobs, 1 at Mindshare and the other was to learn english on my way to work (listening to Norse Mythology by Neil Gaiman, nope I do not recommend it to learn english, great book tho).
— The Technical Shift
This was also when I started becoming much more technical.
I started using SQL, Python, and Tableau, and it felt like another turning point to me. I wanted to learn as much as I could, and then immediately apply it to the work.
At Mindshare, I worked with auto brands. Later, at Klick Health, I worked with healthcare brands. Different industries, different levels of complexity, but both with the same problem: people needed to trust the data before they could trust our recommendations.
— The Work
So a big part of my work became cleaning things up.
Automation, dashboards, data accuracy, processes, making sure the same question didn't require a lot of manual work. AI would have helped me immensely here btw.
The more automated and organized the data became, the easier the storytelling part was. Now our team could spend less time fixing the data and more time working on the insights.
— The Takeaway
By the end of this period, I had become much stronger technically. I was deep into SQL, Tableau, automation, testing and performance analysis.
And that became a big part of how I worked from then on.
— Results
- 2 — Industries — auto and healthcare
- 1st — Deep technical stack — SQL, Python, Tableau
- Less manual — Automated reporting so teams could focus on insights