Senior Data Analyst

mylo, the consumer finance arm of B.
TECH, is revolutionizing the financial landscape, seeks a dynamic, results-oriented Senior Data Scientist.
The ideal candidate will play a pivotal role in driving data-driven decisions and shaping our future.
You'll work closely with cross-functional teams to unlock the power of data, build predictive models, and deliver actionable insights.
As a Senior Data Analyst, you will be tasked with the following responsibilities: Leading the development and execution of advanced dashboards and visualizations.
Conducting thorough analyses to identify business opportunities and evaluate potential risks.
Collaborating with cross-functional teams to define key performance indicators (KPIs) and formulate data strategies.
Designing and overseeing comprehensive data models and ETL processes.
Providing guidance to junior analysts and promoting the adoption of analytics best practices.
Office environment: When you come to our b_labs office, you'll find creative workspaces, a well-equipped kitchen, and an open design to foster collaboration between teams.
Education budget: We believe the learning journey never ends, therefore you will be entitled to an annual education budget to take part in trainings, courses or onsite conferences of your choice.
Flexibility: You know best whether you want to work from home or in the office.
However, if you want to join your teammates onsite, we will subsidize the costs for lunch to foster the b_labs office community Mobility package: When you are joining the b_labs office, we will subsidize your mobility expenses for public transport.
Equipment: From "Day 1" you will receive all the equipment you need be successful at work.
Therefore, you can choose your laptop and get all the tools you need to stay on top of your game.
Bachelor’s degree in a quantitative field (e.
g., Statistics, Computer Science, Economics).
4+ years of experience in data analytics or BI.
Advanced SQL skills and experience with BI tools (Power BI, Tableau, Looker).
Experience with data modelling and ETL development.
Experience with Python or R for statistical analysis.
 Familiarity with machine learning concepts.
Other BI tools (Metabase) Exposure to cloud platforms (Azure, AWS, GCP).
Experience with metadata management tools.
Strong business acumen and stakeholder engagement.
Advanced analytical and statistical thinking.
Ability to manage multiple projects and priorities.
Excellent storytelling and presentation skills.