2022-07-29 11:26:48

Data Analyst/Scientist

CVMarket.lt klientas

Job Description

The team

You will be working in an environment where we take the agile mindset seriously and where you have possibility to make a difference and leave a mark if you find situations where we could do better. While there will be intense periods from time to time as we're getting close to our deadlines, we try to work in a fun and relaxed atmosphere on a daily basis. In a way we have the best of two worlds - we have the flexibility and willingness for change of a start-up, while still maintaining the financial benefits of working for Danske Bank.

Our purpose is to disrupt traditional banking and deliver innovative solutions directly to our banking customers. We work with some of the most advanced technologies. You’ll work in a small and dynamic team, building new functionalities and collaborating across Sunday.dk. You’ll also participate in designing systems, algorithm development, and optimization efforts to ship big impact. 

Responsibilities:

1. Data analysis

•   Collaboratively define business and technical requirements, perform analysis, design, test and implement solutions as related to websites and components and platform capabilities enabling websites and other digital consumer experiences

•   Understanding cause and effect of different issues from website activity and related events. Able to understand not just what happened but why

•   Understand patterns and identifying opportunities for stakeholders

•   Tool development – identifying better ways to report, display, analyze data

•   Help the organization with understanding the data and utilizing insights

2. Strategic thinking and consultancy

•   Creating insights from data and models to present to stakeholders

•   Partner with multi-discipline stakeholders to understand objectives and strategies and translate them into technical requirements

•   Define and drive site and platform improvements and enhancements

•   Good team-player combo with pro-active attitude, self-driven

3. Modelling

•   Have good understanding of different modelling techniques, their pros and cons and ability to explain how to apply them in real-world situations. In-depth expertise in core algorithms such as linear/logistic regression, random forests, PCA

•   Rapidly prototype and iteratively develop predictive models

•   Refine, tune and improve existing models

•   Deploy models to production, including performance monitoring

Requirements

•   Experience translating business requirements to technical specifications (and vice versa) as well as gathering, defining and managing technical requirements.

•   Expert user in at least one data analysis and modelling technology tools (e.g. R, Python, SAS), solid experience with SQL or similar data management tools

•   Experience working with a cross-functional team comprising of multiple geographical locations

•   Expert in statistical, machine learning and other modelling methodologies

•   Be a fast learner with a good attitude, inquisitive and analytical, strong data-driven thinking with passion for all things digital and how it works in omni-channel world.

•   A bachelor degree or higher in quantitative field. Fluent in English.