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 in finance, sales, inventory, and other areas ● 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 ● Liaising and analysis across projects within the Reference Data environment ● 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 evangelize data across the organization ● Be able to work autonomously without supervision Requirements: ● Bachelor’s degree in statistics, mathematics, computer science, 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 ● Good with 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 ● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. ● Good attention to detail ● Written and verbal proficiency in English ● Proactive and passionate: You are independently capable of seeking information, solving conceptual problems and delivering high quality results in challenging situations ● Passion for data and metrics ● Hands-on attitude and the ability to thrive in a fast-paced environment ● Highly motivated, professional, creative, proactive and able to work independently and cooperatively in a diverse group ● Analytical thinking; Conceptual thinking; Detail-oriented; Business Acumen. ● Strong curiosity and strive for continuous learning ● Living the team values: Simpler. Better. Faster. Benefits: • A fast paced, high performing team • Market Competitive Salary • Health Insurance • Rewards & Recognitions • Learning & Development


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