Senior Data Analytics

• Work with clients to shape business and data strategy
• Apply a quantitative framework to business problems through performing analysis, data mining, predictive modeling, business forecasting, applied statistics
• Present approach to Product Managers, Engineers, Marketing, Sales, Finance and work with them to execute a data-driven business process

• 2+ years of applied analytics in sales, finance, marketing, product, and engineering
• track record of success
• 2+ years of discovery and assessment of a client’s data portfolio, data tools, and data applications
• 2+ years of data management and consulting experience
• Familiarity with cloud platforms such as AWS, GCP, Azure to use/deploy analytics solutions
• Familiarity with cloud-based warehouses such as Snowflake, Amazon Redshift, Google BigQuery
• Strong working knowledge of SQL, with the ability to write and troubleshoot complex SQL scripts
• Experience with dbt (data build tool)
• Experience in design-and-build innovative data solutions, from discovery to delivery for clients and external stakeholders
• Ability to manage a data ecosystem including ETL, data governance, reporting and insights

Knowledge of common industry data model concepts & practices (star schema, snowflake schemas)

• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy