We are looking for a business intelligence engineer / bi developer to support financial systems and data products within the finsys data platform team. This role will focus on building scalable, high-quality analytics solutions that enable accounting, finance, payments, and tax teams to gain actionable business insights.
the role is highly hands-on and requires strong programming capabilities, particularly in python and sql. In addition to building dashboards, this position will contribute to automated, ai-enabled analytics solutions that go beyond traditional bi, including agentic workflows and intelligent reporting built on top of snowflake and modern data platforms.
design, build, and maintain bi dashboards and analytics solutions using tableau and tableau prep.
develop automated reports, data pipelines, and analytical workflows using python, leveraging pandas, numpy, and related libraries.
translate business and functional requirements into scalable technical solutions.
identify, validate, and integrate appropriate data sources to support financial analytics use cases.
expand and enhance finance data products within the solutions platform.
improve the quality, consistency, and reliability of financial datasets and reporting outputs.
work extensively with snowflake to support analytics, billing solutions, and data transformations.
build and maintain ai-enabled and agentic analytics solutions, including production use of llms and prompt engineering to support reporting and insights generation.
develop a strong understanding of financial and product data across multiple systems to proactively surface insights and recommendations.
partner closely with cross-functional teams, including accounting, finance, payments, and tax.
communicate analytical findings clearly to non-technical stakeholders, ensuring insights are understandable and actionable.
validate data accuracy, challenge assumptions, and ensure analytical rigor across all deliverables.
strong sql skills for querying and analyzing large datasets.
intermediate to advanced python programming, with hands-on experience using pandas and numpy.
experience working with snowflake as a primary data warehouse.
proven experience creating data visualizations and dashboards using tableau or similar bi tools.
experience with data cleansing, transformation, and validation at scale.
solid understanding of reporting, descriptive statistics, probability, and large-dataset analysis.
hands-on experience with ai/ml technologies, including llms and prompt engineering in production environments.
strong ability to convert business questions into well-defined analytical and technical solutions.
comfortable working with multiple stakeholder groups to define metrics and success criteria.
willingness to challenge data quality, assumptions, and methodology.
ability to explain complex or technical concepts in clear, non-technical terms.
strong client-service mindset and collaborative approach.
adaptable and comfortable working in a fast-paced, evolving data environment.
proactive, detail-oriented, and solutions-focused.
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