Analytics is a great career path for women - including moms returning from (or during) maternity leave
Blog Post
20/11/2025
Analytics is a great career path for women - including moms returning from (or during) maternity leave
Why analytics is an excellent career for women, including those returning from maternity leave. A personal story about transitioning into data analytics.
I studied economics and spent many years working as a project manager in an agency. But coordinating other people’s work wasn’t enough for me — I wanted to truly master something myself. I’ve always enjoyed math, so I gradually, almost naturally, shifted into analytics. I started around 2014 as a self-taught analyst, later began working with Vašek Jelen, and in 2020 we founded MeasureDesign together. I quickly realized this field was exactly what I’d been looking for — it satisfies my curiosity, my need to dig into details, and my desire to bring a bit of “ordnung” into things. In the whirlwind of running a household, taking care of kids, and navigating global chaos, data feels oddly calming. At the same time, it lets me use my creativity when I play detective and hunt down measurement issues like a modern-day Miss Marple. I genuinely believe analytics is a great career for women in general. And yet, there still aren’t many of us in the field.
MeasureCamp is an analytics community that, among other things, meets at a major analytics conference held every September, alternating between Prague and Brno. This year was my third time attending — and the first time I decided to actually give a talk.
And even though I genuinely enjoy speaking and teaching, I suddenly felt really nervous. What if I don’t measure up in front of industry pros? What if someone throws a question at me that I can’t answer? What if everything I’m planning to say is something they already know?
My session went well, the feedback was positive, and that inspired my colleagues and me to spontaneously host a “Therapy Session: Women in Analytics.” We grabbed a presentation room inside the kids’ corner (a place where I’ve genuinely worked more than once — which made it even funnier — plus it was the smallest room available). In the end, it was completely full, and about 75% of all the women at the conference showed up.
We didn’t go in with a set list of topics, but one theme kept coming up: we work in a technical world where senior managers dealing with analytics, developers, engineers… are almost always men. And many of us women often feel like men “just understand technical things better,” so we keep trying to prove — to others, but mostly to ourselves — that we belong here too. We’re afraid someone will expose us for not knowing everything, that we don’t truly fit into this field.
One story that still sticks with me is about a man who needs to meet only 20% of a job’s requirements to tell himself, “Yeah, I can do that.” And we women? Even 80% doesn’t feel like enough. Sometimes I get myself up to 60%, but 20%? Wow. I want that superpower too! :)
If you’re a woman in analytics, you’ll often be the only one in a room full of men — men who feel confident even when they meet only 20–40% of the requirements. Meanwhile, many of us women feel like we don’t know enough, won’t measure up, and need to know more (and know it better) before we dare to speak up.
Most of our team are women. And this message is for all current and future “data sisters” — if analytics interests you, or if you’re already in the field but sometimes doubt yourself, I want you to hear this: women, you’re amazing! You have an eye for detail, you can connect tiny pieces of information into a coherent story, you can spot the one mistake hiding in an entire dataset, and you genuinely appreciate order. On top of that, you can communicate insights to clients with empathy and clarity. You work incredibly hard — and it shows — because you want to prove, above all to yourselves, that you’ve got what it takes. Don’t be afraid of what you don’t know yet. Approach it with more courage and confidence — the same way many men do, trusting that meeting 20% of the requirements is enough to start (and you’ll learn the rest along the way :).
Who is behind the article
Zuzana Mikyšková
Analyst & Co-Founder
As an Analyst and Co-Founder of MeasureDesign, Zuzka helps companies bring order to their tracking, focusing on web analytics and consent management.
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Vojta works at MeasureDesign on developing technical and data solutions that are not only functional, but also practical and easy to use. He enjoys combining web development, automation, and data work to create solutions that make sense both from the user’s perspective and in terms of the technical foundations behind them. What he finds most rewarding is turning a more complex problem into a clean and reliable solution.
Jiří Otipka
Analyst
Jirka has been working in marketing for over 10 years, and if there is anything he enjoys more than numbers themselves, it is connecting them. He loves mathematics and data analytics, and thanks to his interest in exploring source code, he can easily communicate with developers in their own language. At MeasureDesign, he specializes in connecting new data sources - building custom connectors in Python, testing data quality, and exploring which data combinations make the most sense from a business perspective. He is completely at home in Looker Studio and also has extensive experience evaluating PPC campaign performance.
Lenka Pittnerová
Analyst
Lenka joined MeasureDesign at the end of 2025, bringing extensive experience from PPC marketing, where she spent many years working with Google Ads, Meta Ads, and other advertising platforms. While managing campaigns, she repeatedly ran into the same issue - poorly set up or insufficient web analytics, which made effective optimization nearly impossible. This challenge initially led her to analytics out of necessity, but over time she discovered that she enjoyed it even more than advertising itself. Today, she focuses primarily on implementing web analytics and data solutions that provide companies with high-quality, reliable data for strategic decision-making and performance marketing. She continues to work on selected PPC projects as well - not only because she still enjoys them, but mainly to stay closely connected to the reality of media platforms and the real needs of clients.
Martina Kvasničková
AI & Data Research
Marťa helps integrate AI into everyday work—making it faster, more efficient, and accessible to every team member. What excites her most is finding practical ways to use AI and turning new technologies into useful tools.
Anna Horáková
Analyst
Anička has over 7 years of experience in the agency world, where she has managed social media ad campaigns for clients, and especially for content-driven websites, her favorite. Wanting to broaden her perspective beyond campaign data, she gradually shifted her focus toward web analytics. She joined our team in 2022 and now specializes in data analytics, using GA4, BigQuery, Looker Studio, and other tools to connect and dig deeper into data — delivering insightful analyses and valuable input for business decisions. Anička was a member of our team until 2026.
Zuzana Mikyšková
Analyst & Co-Founder
Zuzka's career path led her through corporate innovation and research management, running word-of-mouth projects, and later to a digital agency, where she managed website development projects. However, Zuzka is naturally curious and wanted to understand how a website actually works once it is launched into the world. That curiosity led her to study web analytics — and eventually to a key collaboration with Vašek. In 2019, they founded the company together.
Vašek Jelen
Lead Analyst & Co-Founder
Vašek has been working in digital analytics for over 15 years — from setting up tracking to data storage, visualization, and interpretation. He helps companies keep their data in order and make full use of it. He focuses primarily on data from digital platforms such as websites, apps, and client zones, and on connecting that data with other business data like media and customer data. After years of freelancing, he co-founded the analytics studio MeasureDesign, where, in addition to working on analytics projects and bespoke training sessions, he also mentors and educates new analysts.
Blanka Hejduková
Back Office
Blanka joined our team in 2024 and has been responsible for back-office operations, including invoicing and administrative tasks, ever since. She draws on her experience from the Czech Post and her background in financial management to keep everything running smoothly. In her free time, she enjoys traveling with her two children and finds relaxation in working in her garden.
Markéta Svěráková
Analyst
Markéta started out in marketing, but then came maternity leave — and with it, total chaos. In an effort to hold on to the last bits of sanity, she turned to data. After all, numbers don’t yell, spill cereal into your keyboard, and at least they make some sense. She completed a data analytics course at Engeto Academy, where she bonded with SQL, Power BI, Excel, and Python, and started looking for patterns outside the bounds of children’s coloring books. Today, at MeasureDesign, she helps clients understand what their numbers are really saying.
Petra Súkeníková
Analyst
She joined MeasureDesign in 2023, specialising in measurement implementation and reporting. Her favourite moment is when, after all the setup and testing, the first data finally starts flowing in. Her biggest challenge? The unexpected (and often undocumented) changes from Google – those are the times when every analyst turns into a paranormal behaviour expert. 👻 She was a member of our team until summer 2026.
Klára Belzová
Analyst
Klára has been with the company since 2019. She focuses mainly on web analytics but is not afraid to dive into data work in BigQuery. What she enjoys most is guiding clients through the entire process — from defining their needs to implementing tracking and creating the final data visualizations.
She gets an almost suspicious amount of joy from a clean and well-organized GTM container or a report full of useful data.