
Data Strategist
3 days ago
About the Role
We are seeking a detail-oriented and proactive professional to support our Financial Planning team in driving data-led decision making. In this role, you will be responsible for building and automating reporting solutions, enabling financial transparency, and collaborating across departments to streamline processes. This position is ideal for someone with a passion for data, financial analytics, and cross-functional problem-solving in a fast-paced tech environment.
Key Responsibilities:
- Report Automation & Dashboarding:
Design, develop, and maintain recurring and ad-hoc dashboards and reports to support strategic and operational finance needs. These may cover P&L performance, accounts receivable, vendor payouts, commission tracking, and business unit visibility, among others.
- Data Reconciliation & Accuracy:
Ensure consistency and accuracy of data across internal systems and external platforms. This includes order-level reconciliations, subscription services, wallet balances, and financial projections.
- Process Improvement Projects:
Identify opportunities to optimize manual processes and lead automation initiatives in collaboration with cross-functional teams such as Data, Treasury, Tax, Marketing, and Fraud.
- Cross-Functional Collaboration:
Work closely with departments including O2C, R2R, Fintech, Spaces, Commercial, and Marketing to support their data needs, enabling real-time decision making through robust BI solutions.
- Financial Visibility & Strategic Insights:
Support senior leadership with C-level dashboards and executive summaries by consolidating multi-source data into actionable insights.
- Ad-Hoc Analysis & POCs:
Respond to evolving business needs through one-time analyses, proof-of-concept reports, and special projects tied to growth, compliance, or financial strategy.
Requirements:
- Experience: 2–4 years of experience in business intelligence, data analysis, or FP&A roles.
- Skills: Strong command of SQL, Excel/Google Sheets, and data visualization tools (e.g., Power BI, Tableau).
- Additional: Experience working with financial systems such as SAP is a strong plus.
- Education: Bachelor's OR Master's degree in a quantitative field (e.g., Data Science, Statistics, Economics, Computer Science, Business Analytics)
- Certifications: Google Data Analytics, Microsoft Data Analyst Associate, or similar certifications is preferred
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