Senior Data Analyst

12/10/22 3500 – 3700 EUR/Month Hybrid
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Main purpose of job

In your role, as part of the IPF Digital Hub Data Analytics team, you will be a hands-on, commercially
focused BI Analyst that gets a buzz from seeing a direct link between results of your work in the area of data
technology and the bottom line whilst working across a broad range of operational areas. You will work
closely and act also as a middleman between IPF Digital functions (credit risk, finance, collections, sales,
CRM and marketing) and technology area. This will be a varied role so you will need to be comfortable
managing, analyzing and visualizing data, developing software and providing and presenting
recommendations for the strategic decisions and actions.

Key accountabilities
  • Provide advanced analytical support as required on an ad hoc basis
  • Build end-to-end automated reporting and analytical solutions using Python, SQL (MySQL and T-SQL), VBA, shell scripts, Excel, BI software and scheduling tools
  • Develop and maintain data structures and software components of team’s reporting system
  • Build ETL and data processing flows
  • Design clear data visualizations and report layouts
  • Participate in machine learning and statistical model development projects
  • Assist in the development of methodologies for forecasting business KPIs and processes
  • Introduce new technologies and tools which will improve and enhance Team’s toolset
  • Get stuck into the detail, noticing key trends and patterns across the business KPIs landscape and quickly acting upon them, getting a real buzz from recommending and implementing new strategies and approaches to further support customer growth
  • Present reports, analyses and recommendations to the team and business area leaders
  • Maintain and ensure effective and high-quality reporting, being open to challenge and feedback
  • Always look to do the best for your customers, whether internal or external
  • Care about what we spend – treat this business like it is your own
  • Look for economies of scale and opportunities to reduce waste, whilst not impacting the customer experience


    Knowledge, skills and experience

Top 5 Essential Criteria
  1. Expert knowledge of Transact-SQL and MySQL
  2. Good knowledge of Python programming
  3. Expert knowledge of MS Excel including VBA
  4. Familiarity with BI and data visualization tools (e.g., Tableau, Power BI, QlikSense, Grafana etc.)
  5. Fluent in English
Qualifications:

Master’s Degree in Quantitative Methods / Computer Science / Data Analytics / Big Data / other
quantitative related field

Knowledge:
Good knowledge on various database platforms (SQL,Non-SQL)
Good understanding of consumer lending business concepts

Qualified data technology enthusiast

Knowledge of MS Office

High level ability to interpret complex performance data; identify and deliver priority actions;
evaluate the impact and risks of change

Ability to explain advanced analytical concepts and results to a non-technical audience.

Project management skills being able to be involved in multiple projects at the same time effectively 
Essential Functional / Technical

Skills:
  • Expert knowledge of Transact-SQL and MySQL
  • Good knowledge of Python programming
  • Knowledge of query optimization techniques
  • Expert knowledge of MS Excel including VBA
  • Familiarity with BI and data visualization tools (e.g., Tableau, Power BI, QlikSense, Grafana etc.)
  • Relevant technical knowledge within data engineering and DWH usage
  • Thorough knowledge of data analytics and reporting techniques
  • Having a qualification in statistics would help you in this role
  • Practical experience with cloud-based environment (preferably AWS) Experience: 5+ years of experience working in data analytics and business intelligence domain in sizable
Company

Preferably worked in Financial Service (Fintech a plus)
Other:
Fluent in English (written and spoken)


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