Analytics Engineer*

About the Role

Key Responsibilities

• Responsible for building the data models that underpin our critical operational and strategic data-driven decisions.
• Create and support analytical models that solve complex business problems.
• Design new data architecture and modify existing data architecture to meet future needs.
• Responsible for the improvement of data reliability, efficiency, and quality of data management required for building business intelligence applications and reports.
• Develop data dictionaries, data models, and other documentation to support the Reconciliation cash flow dataset data infrastructure.
• Ensure the consistency and accuracy of Reconciliation cash flow dataset across all reporting systems, resolving data quality issues.
• Collaborate with data engineering teams to develop data pipelines and ETL processes that ensure efficient data ingestion and processing.
• Analyze data to identify trends, patterns, and anomalies, providing recommendations to inform decisions.
• Communicate complex data insights and technical information to non-technical partners, both verbally and through data visualizations.
• Help team to set up alarms in the data architecture for faster resolution of issues.

Requirements

• Position requires a Master’s degree in Business Analytics, Computer Engineering, Information Systems, or a related field and 2 years of experience with analytics engineering.
• 1 year of experience with developing and maintaining data warehouse solutions, incorporating star and snowflake schema designs.
• 1 year of experience with designing, building, and maintaining automated reporting dashboards, and conducting ongoing analysis to enable data-driven decisions across teams.
• 1 year of experience with source code repositories including GitHub.
• 1 year of experience with query / code optimization and improving pipeline performance by reducing time and complexity.
• 1 year of experience working with cross-functional teams, engineers, and product managers to define and manage roadmaps and KPIs.
• 1 year of experience with creating robust data standards for internal and cross-functional teams.
• 1 year of experience with non-relational databases and data stores.
• 1 year of experience with CI/CD, DataOps best practices, DynamoDB, GIT, Glue, Lambda, QuickSight, Pandas, PySpark, Python, Scala, Redshift, S3, SQL, and Tableau.

Nice to Have

• Experience with cloud-based deployment platforms such as Forge.
• Experience working with Python applications.

Qualifications

• Master's degree in Business Analytics, Computer Engineering, Information Systems, or a related field
• At least 2 years of experience in analytics engineering

Benefits & Perks

• Flexible paid time off
• Health, dental, and vision + 401k plan with company matching
• Paid parental, medical, military and family care leave
• Mental Health & Family Forming Benefits
• Employee Stock Purchase Plan (ESPP)
• Continuing education and travel benefits