As a Data Analyst, you will be in a central position as you will be evangelising data and our methodologies to other functional analysts and other stakeholders in the company. You will have close interaction with teams in marketing, sales, finance, and product. You will work in a high pace environment that is professional, international and entrepreneurial.

Job Responsibilities:

  • Accessing data, constructing and manipulating large datasets to support planned analyses, using SQL, Python and similar tools
  • Designing and developing BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organizational metrics and indicators using best practices and industry standards
  • Help with defining KPIs metrics and drive the data governance through standardisation and communication
  • Extract data and share it with stakeholders using Dashboards/Reports or Google Sheets
  • Create the documentation and presentation for the management under the supervision of more senior staff
  • Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements
  • Adapt at queries, report writing and presenting findings
  • Research and validation of entity data using appropriate internal and external data sources
  • Analysis, specification, testing and implementation of interfaces, workflow solutions, and reference data solutions – An example would be regression testing systems ahead of upgrades
  • Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of on-going strategies
  • Responsible for data quality and timely delivery of reports that make common business sense
  • Participate in Analytics & Reporting trainings to evangelise data across the organisation
  • Be able to work autonomously without supervision

Requirements:

  • Bachelor’s degree in statistics, mathematics, computer science, business/economics or related field
  • 1+ year work experience in analytics, having closely worked with product and commercials in an internet/e-commerce company
  • Experience in e-commerce, internet and/or digital media
  • Basic proficiency in SQL, Microsoft Excel
  • Skills in Python, R or similar tools are a big plus
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Good analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations
  • Written and verbal proficiency in English