Wego is looking for a Senior Data Analyst to lead our data team in Singapore. We are a growing global meta travel search provider and as the company scales, so does our data. Data is key to empowering our product, marketing, sales and operations teams to function effectively and efficiently. You will help our team to continue this empowerment through database management, model development and analysis.
Key areas of responsibility:
Master data management
Own and develop the core “source of truth” Analytical Database for Wego. Constantly improve on data structures and analytical DB design as business needs and product evolves. Make as much information from data available as possible to allow the company to drive decisions with data.
Work with stakeholders upstream of data team such as product and data engineering to define data structures and schema. Work with stakeholders downstream of data team to understand analytical and business reporting needs. Hands-on data debugging, development and deployment skills would be required.
Data Analytics and Modelling
Applies appropriate analytical techniques to generate information from master data to support decision-making for various stakeholders. Run data-driven project that would put our data to good use. These can be in various forms such as visualization reports, scheduled tasks and scripts, aggregated tables etc.
Develop predictive modelling and trend analysis from data to support higher-level, strategic decision-making and reporting. Apply statistical and predictive techniques onto our master data for deeper insights.
Experience maintaining scripts and processes to generate analytical datasets.
Ability to work in advanced Python and SQL to manipulate and transform data.
Ability to run and deploy tasks using deployment tools such as Git / Jenkins / Airflow.
Experience working with major Big Data technologies such Bigquery (internal tool), Redshift, Hadoop / Spark etc.
Knowledge of cloud platforms such as Google Cloud Platform (internal tool), Microsoft Azure, Amazon Web Services (AWS).
Experience working with data visualization tools such as Tableau, Qlik, Chartio etc.
Knowledge of advanced statistical predictive models would be a plus.
Solid experience developing and working with relational and analytical data structures.
Comfortable working within large, complex databases and data warehouse.
Demonstrates sound knowledge of data processing concepts- transforming raw data into processed, ready to use analytical datasets.
Experience working on and optimizing data pipelines, ETLs or ELTs.
Good track record of leading and growing a team of data analysts to fulfill data requirements.
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