Full-Time Lead Data Analyst

We're looking for a Lead Data Analyst with a specialization in finance data and a strong inclination towards analytics engineering principles. In this unique hybrid role, you'll be instrumental in transforming raw financial data into actionable insights, building robust data models, and optimizing our data infrastructure to support strategic decision-making across our finance functions.

You'll act as a bridge between finance stakeholders and our data engineering teams, ensuring data accuracy, accessibility, and reliability. If you're passionate about both the intricacies of financial data and the craft of building efficient, scalable data solutions, we encourage you to apply.

• Analytics Engineering & Data Modeling: Lead the development of the finance analytics layer, owning the business logic that transforms data into reliable metrics for reporting and analysis. Serve as the primary author of finance data models, building and maintaining transformations(eg., using dbt) on top of the foundation data provided by data engineering team. Implement data quality checks and validation processes to ensure the integrity and reliability of financial data. Act as a key strategic partner to the data engineering team, translating business needs into technical requirements to guide the evolution of the core data infrastructure.
• Financial Data Analysis & Reporting: Perform in-depth analysis of financial data, including revenue, expenses, profitability, forecasting, and budgeting. Develop and maintain key financial reports, dashboards, and visualizations to provide clear insights to finance leadership and business partners. Identify trends, anomalies, and opportunities within financial datasets to support strategic planning and operational improvements.
• Stakeholder Collaboration & Communication: Work closely with finance teams to understand their data needs, define requirements, and translate them into technical specifications. Communicate complex analytical findings and technical concepts clearly and concisely to non-technical business stakeholders. Provide training and support to finance users on data tools and dashboards.
• Data Governance & Documentation: Contribute to the development and enforcement of data governance best practices for financial data. Create and maintain comprehensive documentation for data models, reports, and data processes.

EDUCATION: Bachelor's or Master’s degree in Finance, Economics, Accounting, Data Science, Computer Science, or a related quantitative field.

EXPERIENCE: 4+ years of experience in a data analysis role, with a significant focus on financial data.

• Technical Skills:Proficiency in querying, analyzing, and visualizing large datasets using SQL, Python, R. Experience with cloud data platforms such as GBQ, Snowflake, or Redshift. Experience with data modeling principles and tools (e.g., dbt). Proficiency in at least one data visualization tool (e.g., Sigma, Tableau, Power BI, Looker).
• Finance Skills:Strong understanding of financial concepts, statements (P&L, Balance Sheet, Cash Flow), and metrics. Familiarity with Financial Oracle DB (e.g., EBS R12, Fusion Apps or Workday)
• Excellent analytical, problem-solving, and critical thinking skills. Strong communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical teams. Ability to work independently and manage multiple priorities in a fast-paced environment.

Bonus Points If You Have:Experience with financial planning and analysis (FP&A) processes. Familiarity with accounting software or ERP systems. Knowledge of advanced statistical techniques for financial forecasting.

WORKING RELATIONSHIPS:This role involves close collaboration with key stakeholders from Finance, Product, Engineering, Customer Success, and other Business departments. Additionally, the position requires active engagement with analysts and data scientists across the organization, fostering opportunities to enhance efficiency and cultivate shared technical knowledge and expertise.

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