[Remote] Senior Data Analyst (FP&A)

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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