Analytics Developer - Customer Analytics Team
- Pension Plan (at no cost to the employee)
- 401(k) plan with employer matching
- Available your first day: Medical, vision, dental, and life insurance
- Over 200+ hours of PTO (includes vacation days, holidays, floating holidays, and sick leave)
- Parental leave (up to 4 weeks) and adoption assistance
- Wellness programs (including access to a recreation and fitness facility)
- Short and long-term disability plans
- Tuition assistance for both undergraduate and graduate programs
- 10 Employee Resource Groups for career development, community service, and networking
- Define and develop dashboards including business metrics and performance indicators that drive action and insights (PowerBI experience preferred)
- Be able to perform complex data queries, as well as build and maintain ETL pipelines utilizing data migration services (Azure Data Factory, SSIS), languages, and tools that connect various data sources (Snowflake, SQL Server, DB2)
- Apply query, data exploration and transformation, basic statistical methods and visualization techniques to create business insights or improve data quality
- Collaborate with operational/IT business leads to recognize and help adopt best practices in data delivery, analysis, integrity, and validation.
- Experience in performance tuning and query optimization
- For a Level 1 (Associate), a minimum of no previous years of experience to two years related experience is required (if no degree, four-six years of relevant experience or equivalent combination of education and related experience totaling four-six years).
- For a Level 2 (Journey), a minimum of two years of experience to four years related experience is required (if no degree, six-eight years of relevant experience or equivalent combination of education and related experience totaling six-eight years).
- For a Level 3 (Senior), a minimum of five years of related experience is required (if no degree, nine years of relevant experience or equivalent combination of education and related experience totaling nine years).
- Development/Query languages: SQL (T-SQL, PL/SQL, SnowSQL, etc.), Python
- Platforms/Tools: PowerBI, Snowflake, Azure Data Factory, Dataiku, Legacy Databases (SQL Server, DB2, Oracle), SSIS, SSRS
- Knowledge of SAP and its data-related tools (Datasphere, Analytics Cloud, etc) is a plus
- Advanced proficiency with PowerBI, Power Query, Paginated Reports, and related tools
- Strong proficiency with Snowflake SQL and SQL Server T-SQL
- Experience coding ETL processes in Azure Data Factory and SSIS
- Expertise in modern database technologies, data integration, reporting
- Solid understanding of data warehousing concepts and data modeling (Prefer 3+ years)
- Strong critical thinking, problem solving, organization and analytical skills
- Demonstrated ability to communicate and present analysis or technical concepts to a non-technical audience in a clear and understandable manner
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