Senior Data Analyst

2 tygodni temu


Warszawa, Mazovia, Polska Card and Payment Jobs Pełny etat
Fully REMOTE (anywhere in world within 2 hours of GMT) Senior Data Analyst with Finance experience needed - must have Python and SQL APPLY NOW

Senior Data Analyst - Finance
Data analyst, finance, SQL, Python, Data, treasury, reconciliation, data analysis, GCP, forecasting. Building data product tools, advanced analytics

Fully remote - must be able to work within -2 or +2 hours of GMT
Our client is a global fintech with a cutting edge USP. Offering fully remote work, this is a fantastic opportunity to take your career to the next level in a collaborative and dynamic organisation who provide ground-breaking financial products to their global client base

Due to growth, we are seeking a Senior Data Analyst who has worked closely within a Finance function to join their team.

You must be able to work autonomously, with an inner drive for problem solving and possess a growth mindset

The purpose of this role is to :

  • Enable Financial Planners and Treasury team to optimize the business financially
  • Create reliable and accurate forecasts
  • Automate data analysis

To be successful in this role, you will need to provide evidence of :
o Exposure to working with Finance teams with regard to data analytics
o Advanced SQL skills (including Big Query)
o Advanced Python skills- Forecasting (incl. Predictive Analysis > Time series forecasting)
o Knowledge of visualisation and analytics tools
o Big Query, SQL, Looker, or other visualisation tools
o Experience with Google Cloud Platform GCP (preferred ) or AWS
o Statistical knowledge and Forecasting
o Familiarity with Business Unit Economics Modelling valued
o Automation
o Practical experience with building data product tools

o Understanding advanced analytics:
reconciliation, programmability, data
o 6 validation
o Customer centric mindset with an understanding of consumer behavior as a basis for building solutions (forecasting, automating, identifying insights and opportunities)
o Understanding data quality best practices

Day to day you will be responsible for :
o Business Unit Economics Model - Finding dependencies between products and customer/marketing segmens
o Identifying insights and opportunities
o Helping with the reconciliation process including Forecasts/Predictions
o Developing the dynamic predictive model for financial metrics
o Predicting customer movements, aiding Financial Planners and Treasury team
o Automating data analysis

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