Data Analyst – Technology, Information and Internet – DA-200

Technology, Information and Internet company is seeking to Data Analyst with the below requirements:

• Bachelor’s degree in statistics, mathematics, computer science, or related field. Masters is a plus.
• 2+ 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
• Extensive experience with SQL with proficiency in Microsoft Excel
• Experience working with BI tools (e.g. Looker, Periscope, Tableau, etc.)
• 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
• Proactive and independent 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
• Thrive in a fast-paced, innovative environment with good attention to detail
• Living the team values: Simpler. Better. Faster.

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 standardization and communication
• 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