Senior Data Engineer
The Muse
ApacheAWSAzureCloudETLPySparkPythonScalaSparkSQL
Job Level
Junior
Tech Stack
ApachePandasPythonSparkSQL
About the role
- Conduct in-depth data analysis, data modeling and use of statistical methods to support strategic initiatives
- Communicate business intelligence insights and recommendations to product owners and other stakeholders
- Develop processes and tools to monitor and analyze performance of the company’s products
- Monitor, analyze, and report performance to the senior management team
- Collaborate with IT, Online Marketing, and Sales to support analytical needs and define analytics opportunities
- Automate reporting processes as needed by team and company
- Work with the data engineering team to ensure data quality and correct discrepancies
- Support the finance team in data reporting needs and financial initiatives
Requirements
- Possesses at least 1-2 years of hands-on experience in data analytics and business strategy
- Attention to details and ability to work independently to meet tight deadlines
- Can communicate well and work closely with different people from various teams
- Possesses good verbal and written communication skills
- Have a positive attitude and see challenges as opportunities
- Expert in performing data queries, extraction, manipulation, and analysis with tools like SQL, Python, Pandas, and Apache Spark Dataframes
- Deep familiarity in using BI tools such as Power BI and Google Looker Studio to produce automated dashboards
- Deep familiarity in using spreadsheet tools such as M/S Excel and Google Sheet
- Knowledge of statistical concepts (regression, statistical tests, etc)
- Familiarity with analytics tools such as Google Analytics, Google Search Console, App Store Connect, Google Play Console (advantageous)
