Data Analyst
Platform Science- Full Time
- Junior (1 to 2 years)
Candidates should have proven experience as a Data Scientist, Data Analyst, or similar role working with large and complex datasets, strong SQL skills, proficiency in Python (e.g., pandas, NumPy), experience with modern data tooling such as dbt, Airflow, or equivalent orchestration and transformation tools, hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively, technical expertise in building scalable data models, ETL pipelines, and designing data architecture, and familiarity with cloud data warehouses such as Snowflake, BigQuery, or Redshift. A Bachelor’s degree in Computer Science, Engineering, Math/Statistics, Business, or a related field, or a graduate degree in a quantitative field is preferred.
As a Data Scientist at Fieldguide, you will analyze large volumes of structured and unstructured data to uncover trends, patterns, and actionable insights, define and track key metrics to evaluate firm, team, and engagement performance using Fieldguide’s industry-leading dataset, design and build customer-facing analytics features and dashboards that deliver measurable value by uncovering opportunities and supporting strategic decision-making, build and maintain scalable data infrastructure—including preprocessing, ETL pipelines, data modeling, orchestration, and monitoring—to support analytics and product insights, and lead efforts to improve data quality, completeness, and accessibility across internal systems and product experiences.
AI platform for audit and advisory services
Fieldguide enhances audit and advisory processes for businesses using artificial intelligence through its main product, the AI Advisory & Audit Cloud. This platform is designed for large advisory and audit firms, helping them save time, improve profit margins, and increase client satisfaction while managing various regulatory frameworks. Fieldguide's subscription-based model offers features like engagement management and automated report generation, making it more efficient than traditional methods. The company's goal is to transform the audit and advisory landscape with a modern, AI-driven experience.