Senior Data Analyst - DataAI
Senior Data Analyst - DataAI
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Job Description
A hybrid work model that incorporates solutions developed by the leader and the team
As part of the Data & AI area we implement projects based on the data products and data tools applications of an unprecedented scale in CEE. Data & AI is a group of over 170 experienced BigData engineers organized into over a dozen teams with various specializations. Some of them build dedicated tools for creating and launching BigData processes or implementing ML models for the entire organization. Others work closer to the client and are responsible for the implementation of the search engine creating recommendations building a buyer profile or developing an experimental platform. There are also research teams in the area whose aim is to find solutions to nontrivial problems requiring the use of machine learning.
What will your job involve
You will be part of the analytical team that provides data to support the creation of strategies and directions of action in the area of the Czech part of Allegro
You will take responsibility for obtaining information and preparing business and operational analyzes on which we will take business actions
You will be in charge of forecasting the effects of implementing new business solutions build conclusions and recommendations
You will create actionable reports and visualizations to monitor ongoing projects
You will conduct indepth analysis of product data including user behavior market trends and performance metrics
You will work closely with product managers to define KPIs and develop metrics for evaluating product success
You will have access to the latest technologies such as: Google Cloud Platform (BigQuery AI Notebooks Composer) Tableau Data Studio and more
You will work handinhand with the business team on developing Allegro platform in the Czech market
We are looking for people who
Have at least 4 years of experience as a Data Analyst preferably in a role with high level of independence
Have the ability to turn data into knowledge and draw conclusions and make recommendations
Know SQL at a very good level (knowledge of Python will be an advantage)
Know how to choose data visualization techniques adequate to the problem (knowledge of Tableau/Looker/Power BI will be an advantage)
Have strong communication skills in English (B2 or higher)
Can identify the problem and propose an effective solution
Are precise proactive and searching
What we offer
A hybrid work model that you will agree on with your leader and the team. We have welllocated offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (heightadjustable desks interactive conference rooms)
Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the companys results)
A wide selection of fringe benefits in a cafeteria plan you choose what you like (e.g. medical sports or lunch packages insurance purchase vouchers)
English classes that we pay for related to the specific nature of your job
Working in a team you can always count on we have on board topclass specialists and experts in their areas of expertise
A high degree of autonomy in terms of organizing your teams work; we encourage you to develop continuously and try out new things
Hackathons team tourism training budget and an internal educational platform MindUp (including training courses on work organization means of communications motivation to work and various technologies and subjectmatter issues)
Why is it worth working with us
Be part of an endtoend leading eCommerce business in the Central European region providing an expansive view of the industry
Work in the organization with is heavy data driven Your will matter while making high profile decisions affecting millions of customers
Gain invaluable experience and deepen your skills through continuous learning and development opportunities
Collaborate with a network of industry experts enhancing your professional growth and knowledge sharing
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Send in your CV and see why it is #dobrzetuby (#goodtobehere)
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
