That means owning the data models and orchestration beneath accounting analytics, designing the dashboards and data applications stakeholders rely on day to day, and partnering across Data Engineering, Data Science, and the broader Finance organization to…
Design, build, and maintain data models and orchestration pipelines (dbt, Airflow) that power analytics, reporting, and downstream financial workflows.
Develop dashboards, visualizations, and data applications that give stakeholders self-serve access to their data.
Translate stakeholders' business questions into well-defined metrics and tools, and turn the resulting analysis into clear recommendations.
Build analytics that support financial reporting, the close process, reconciliations, and scenario analysis.
Proficiency in SQL and Python (or another object-oriented programming language).
Experience with data modeling and orchestration tools (e.g., dbt and Airflow).
Experience with data visualization and business intelligence tools (e.g., Looker, Tableau, Hex, Streamlit).
Experience designing self-serve analytics experiences for non-technical stakeholders.
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