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Senior Data Analyst - Finance

385/1361/107489

$90,000 - $110,000 Per Annum

REMOTE anywhere within 2 hours of GMT

Business analytics / business modelling,FinTech,IT/Technical,Retail Banking,Data scientist,Business Intelligence,Investment Banking

Permanent | Full Time

ASAP

04/06/2024

Not specified

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