Note: The job is a remote job and is open to candidates in USA. Harvey Nash is seeking a Senior Data Analyst to provide dedicated analytical support to a Financial Planning & Analysis (FP&A) organization. The role focuses on complex analysis, scalable data solutions, executive reporting, and mentoring analysts.
Responsibilities
- Support FP&A business partners through advanced data analysis, reporting, and decision-support initiatives
- Serve as the senior anchor for the analytics team, providing guidance, mentorship, and quality review of analyst deliverables
- Translate complex business requirements into scalable data solutions and actionable insights
- Develop, optimize, and maintain data workflows, reporting solutions, and analytical models
- Design and build executive-level dashboards and reports that support strategic financial decision-making
- Analyze financial datasets including cash flow, forecasting, investments, revenue trends, and movement tables
- Drive data quality, accuracy, and consistency across reporting and analytical processes
- Partner with business stakeholders to identify opportunities for process improvement, automation, and enhanced reporting capabilities
Skills
- US citizens, Green Card Holders, and those authorized to work in the US
- We are unable to sponsor H1b candidates at this time
- 7+ years of experience in data analytics, data modeling, data transformation, and business analysis
- Advanced expertise in Snowflake and SQL, including complex joins, data extraction, transformation, and performance optimization
- Strong hands-on experience developing and optimizing Alteryx workflows
- Extensive experience designing and building Power BI reports, dashboards, and executive-level visualizations from the ground up
- Experience working with large-scale data warehousing and analytical environments
- Strong understanding of financial data structures and FP&A concepts, including:
- Cash flow analysis
- Forecasting and budgeting
- Investment analysis
- Movement and transactional datasets
- Working knowledge of statistical and mathematical modeling techniques, including:
- Trend analysis
- Predictive analytics
- Data forecasting methodologies
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Proven experience mentoring, coaching, and reviewing the work of junior and mid-level analysts
- Experience within the Insurance or Financial Services industry
- Familiarity with financial planning, corporate finance, and enterprise reporting environments
- Experience supporting executive leadership with data-driven insights and strategic reporting
Benefits
- Remote work
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