Description:
As part of a team that is constantly launching new businesses and features, you will be responsible for using technical solutions to transform raw data from various sources into actionable insights. The ideal candidate has proven experience integrating and scaling data applications plus exemplary data visualization and technical problem-solving skills. This individual is highly proficient in partnering across technology and business teams and has proven experience delivering high quality results with minimal direction from leadership. Strong written and verbal communication skills are required as this role will interface directly with multi-functional teams to roll out new tools, communicate data infrastructure changes, and share analytical findings with executive leaders. Does this sound like you? If so, we would love to hear from you! Come run with the Pack!
What You'll Do
- Design and implement data solutions best-suited to deliver business needs and use cases — from data lakes to analytics tools, across a progressively evolving technical stack.
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
- Own development of proof of concepts, QA data sources, and partner in delivering new data tables, metrics, and analytics products
- Partner in leading efforts to automate data extraction and distribution of reports to multiple customers
- Own and continually improve metrics documentation and data governance
- Contribute to analytics product roadmaps that deliver insightful and user-friendly dashboards for both internal and external customers
- Partner with IT teams to construct downstream impact analysis and own change management communication for Healthcare data sources
- Document technical details of your work using industry standard protocols like Jira, Confluence etc.
- Proactively monitor existing metrics, propose new metrics, and work across the organization to deliver actionable intelligence
What You'll Need
- 4-year Bachelor’s degree in Computer Science, MIS, Business Analytics or a related field
- 3+ years automating data processes, developing dashboards, and building scalable analytics solutions in an ecommerce, omni-channel, or retail setting
- 3+ years of experience managing ETL or data transformation processes, technical architecture documents, and delivering net new or enhancing existing data warehouses
- 3+ years of experience working with data platforms such as: Snowflake, AWS, Vertica, or other RDB
- Strong working knowledge of SQL and proven ability to write, debug, and optimize SQL queries
- Programming expertise in Java, Python, Scala, or another modern programming language
- Demonstrable experience building self-serve BI solutions and automated reports that enable automated alerting and data quality monitoring
- Ability to tailor analytics products to meet the needs of end customers using tools ranging from Excel to Tableau
- Demonstrable experience with data modeling in large Data warehousing / data lake environments
- Strong written and verbal communication skills and experience leading change management processes
- Demonstrable experience delivering high quality and insightful data visualizations and translating complex data into actionable insights
- Exemplary customer management and prioritization skills using systems, processes, and scalable frameworks
- Thorough understanding of Financial KPIs and P&L statement
- Superior attention to detail and experience building processes to validate data integrity
- Proven experience leading teams and delivering results in ambiguous and resource constrained environments
- Ability to travel up to 10% of the time