Finance Analytics Engineer: Build Scalable Data Infrastructure

Snowflake; Pennsylvania; On-site; USD 110,000 - 165,000; Full time

Job summary

Snowflake is seeking an Analytics Engineer to join the Finance Analytics Engineering team. The role focuses on developing and maintaining data infrastructure for reporting and analysis, partnering with Finance BI and IT to source data from core systems, and delivering high-quality data models for trusted decision-making.

You will design scalable data architectures, implement automated testing, and contribute to governance, security, and data definitions while working within an agile framework to

Qualifications

• 3+ years of experience working as an analytics, data, or BI engineer
• Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets
• Experience using Python to parse, structure, and transform data
• Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies
• Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders
• Ability to prioritize and execute tasks in a high-pressure, constantly changing environment
• Ability to think creatively to solve problems
• An impulse for introducing structure and simplicity into vague, complex problems
• An obsession for detail and quality
• An ability to identify weaknesses in data and process, and a willingness to drive improvement
• A bias for action

Responsibilities

• Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation
• Perform data QA and develop automated testing procedures for use with Snowflake data models
• Translate reporting, analysis, and automation requirements into data model requirements and specifications
• Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases
• Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth
• Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions
• Meet regularly with Finance BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA
• Build and maintain user friendly documentation for data models and key metrics
• Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team

Job description

Snowflake is seeking an Analytics Engineer to join the Finance Analytics Engineering team. The role focuses on developing and maintaining data infrastructure for reporting and analysis, partnering with Finance BI and IT to source data from core systems, and delivering high-quality data models for trusted decision-making.

You will design scalable data architectures, implement automated testing, and contribute to governance, security, and data definitions while working within an agile framework to