DATA LEAD ANALYST

QUALIFICATIONS
Bachelor’s Degree or Equivalent with 8+ years of experience in data engineering, computer science or statistics field with at least 2+ years of experience in leadership/management
Experience in developing Big Data cloud-based applications using the following technologies: SQL, Azure, Snowflake, PowerBI
Experience building complex ADF data pipelines and Data Flows to ingest data from on-prem sources, transform, and sink into Snowflake. Good understanding of ADF pipelining Activities.
Familiar with various Azure connectors to establish on-prem data-source connectivity, as well as Snowflake data-warehouse connectivity over private network
Lead/Work with hybrid teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
Translate complex business requirements into scalable technical solutions meeting data warehousing design standards. Solid understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency
Experience with data visualization and dashboarding techniques to make complex data more accessible, understandable, and usable to drive business decisions and outcomes. Efficient in PowerBI.
Extensive experience in data architecture, defining and maintaining data assets, and developing data architecture strategies to support reporting and data visualization tools
Understands common analytical data models like Kimball. Ensures physical data models align with best practice and requirements
Thrives in a dynamic environment, keeping composure and a positive attitude
A plus if your experience was in distribution or manufacturing organizations
PREFERRED
Experience with Snowflake cloud data warehouse
Experience with Azure PaaS services
Experience with TSQL, SQL Server, Azure SQL, Snowflake SQL, Oracle SQL
Experience with Azure Storage account connectivity
Experience developing visualizations with PowerBI and BusinessObjects
Experience with Databricks
Experience with ADLS Gen2
Experience with Azure VNet private endpoints on private network
Proficient with Spark and Python
Advanced proficiency in SQL, joining multiple data sets across different data grains, query optimization, pivoting data.
MS Azure Certifications
Snowflake Certifications
Experience with other leading commercial Cloud platforms like AWS
Experience with installing and configuring ODBC, JDBC drivers on Windows