acquires, cleans and develops datasets from internal and external sources
support business analysis and reporting
validate, store, protect, and adhere to processes around data
ensure accessibility, reliability, and timeliness of data for its users
developing and executing data architectures, policies, practices and procedures
Coordinates with other teams to ensure all aspects of data needs are taken into account
Prepare data for reporting and analysis including visualizations
Experience in performing in-depth data analysis to derive insights that drives business outcomes and decisions

Bachelor’s degree
Minimum 7 years of technical experience in data analysis using ETL tools
developing ETL solutions using SSIS, ADF, and/or DataBricks
Experience working in a SQL environment
comprehensive knowledge of SSMS and SSIS
Extensive experience developing stored procedures and dynamic SQL
Strong working knowledge of Cloud Technologies (For example Azure Synapse Analytics, Snowflake and/or related cloud technology)
Experience taking complex data and making it more accessible
Experiencing leading projects through entire life cycle
Proficient in root cause analysis
Good presentation skills

Senior Data Manager – Databricks

Key skills