Senior Data Analyst

prezi Open · verified Oct 24, 2026

Hungary Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at prezi. Hungary · full-time.

Pay not stated Data Analyst salary

RoleData Analysis & BI

SenioritySenior

LocationHungary

EmploymentFull-time

PostedOct 14, 2025 · 1y ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Take analyses from scoping and data preparation through conclusions and presentations, including work that informs personalized user experiences
Work with stakeholders to set key measures, then deliver reporting, analysis and data products tied to company growth
Measure how analytical work affects user experience and company metrics so teams can learn from the results
Build self-service analytics by teaching colleagues and looking after shared datasets and dashboards
Work with data engineering to improve data coverage and trustworthiness, while exploring AI technologies for analytics

What you bring

At least five years in data or business analytics using large datasets, such as internet, banking or telecom data
A degree in computer science, economics, statistics, applied math, physics, social sciences or a related area
Practical SQL skills, plus Python or another scripting language, and experience creating dashboards from the ground up
You can apply methods such as funnel analysis, clustering, forecasting and recommender systems to business questions
You communicate effectively in English and can present insights to varied teams, including engineers and product stakeholders

Who this fits

This senior analyst role suits someone who can handle end-to-end analysis, explain findings to stakeholders and help colleagues use analytics themselves. The position is remote and open to applicants in Austria, Germany, Hungary or another listed country.

From the employer

Location: Remote in EU

Shape the future of presentations with Prezi.

Shape the future of presentations and idea sharing with Prezi. We are currently growing our data science & analytics team and are looking for a Senior Data Analyst with a passion for working with web, product, user behavioral, and financial data. You will help define strategy, guide operations and KPIs, and impact how we build experiences and products that empower our users to be the best communicators in the world.

At Prezi, we believe in data driven decisions, and our data science & analytics team is at the heart of enabling this. We work hand-in-hand with our leadership and cross functional teams to surface the right questions and provide high quality insights through data products, deep-dive analyses and/or creating dashboards for future self-service and reuse. To surface the right data, we continuously iterate on our datasets to improve our reliability, quality, and accuracy of what is being used to make decisions.

What You’ll Do

As a member of our Data Science & Analytics Team, you will conduct end-to-end analyses from the conception (requirements specification, data processing), all the way to the end result and presentation. In many cases, your analytical results will directly impact end users by powering personalized user experiences. You will be charged with deeply understanding our business, working as a best friend to our product managers and various stakeholders, and communicating data-driven insights and recommendations that will help drive every decision we make to foster a healthy data culture.

Key Responsibilities

Strive to have a positive impact on user experience and key company metrics. Quantify and attribute that impact wherever possible to enable continuous learning.

Proactively partner with stakeholders to define key metrics, and deliver reports, analyses, insights, and data products that contribute to company growth
Foster self-service analytics throughout the company by training & mentoring others, and maintaining core datasets and dashboards
Experiment and adopt AI technologies in the data space
Team with data engineering to ensure that Prezi has comprehensive and trustworthy data to use

What We’re Looking For

Have 5+ years of relevant experience in data/business analytics with large datasets (Internet, banking, telecommunication)
Have a degree in Computer Science, Economics, Statistics, Applied Math, Physics, Social Sciences, or related areas
Are familiar with comprehensive statistical analyses: funnel analysis, clustering, forecasting, recommender systems
Hands-on experience with building dashboards from scratch
Are comfortable with understanding business problems of stakeholders and supporting them with relevant analyst deep dives
Are proficient in data transformation: mainly SQL, plus Python or any other scripting language
Active user and early adopter of AI technologies, interest in prompt and context engineering
Have effective written and verbal communication skills in English