Qualifications:
• A degree or higher in Computer Science, Software Engineering, or other related technical disciplines.
• 3 years of industry experience in data science, analytics, or related roles.
• At least 1 year of experience in leading a data team
• Have a good understanding of data modeling, statistics, data structuring, and analysis
• Fluency in programming with Python/Java/Scala and SQL.
• Experienced with data engineering tools such as Spark, Kafka, and Airflow.
• Familiarity with cloud big data environments such as AWS (EMR, Glue, Athena, Redshift) and GCP (BigQuery, Dataflow, Dataproc).
• Proficiency in software engineering best practices such as clean/maintainable code, Git, code review, unit/integration testing, Infrastructure as Code, and Continuous Integration/Continuous Delivery.
• Experience in one of the following is a plus: Looker, Tableau, Google Data Studio, Google Analytics
Job Description:
• Work with management & other stakeholders to prioritize business data needs and recommend new ways of using data to inform decision-making.
• Conduct analysis and make recommendations that impact product and business directions.
• Create data visualizations to uncover valuable insights and measure/track product performance.
• Share knowledge and best practices with the entire data team.
• Perform continuous improvements on our initiatives to bring the quality of our analytics to the next level.
• Responsible for planning, budgeting, and leading complex projects involving multiple divisions.
• Responsible for driving data quality throughout the organization.
• Inform, influence, and support strategy implementation and product decisions.
• Partner with teams across divisions such as Commercial Product, etc to solve problems and identify trends and opportunities.
• Engage with stakeholders across the organization to identify challenges in which advanced analytics will have the greatest impact, then implement it.
• Initiate, drive, and lead cross-functional projects involving advanced analytics.
• Contribute to defining strategies and analytical direction of the company.
• Research and develop analysis, forecasting, and optimization methods to solve questions & challenges in company.
• Manage the development of data warehouse & centralized data platform, gather requirements while maintaining accountability and impact of the team.