Finance Systems Senior Analyst - Anaplan

April 2

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Alteryx

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Alteryx is a leading provider of enterprise analytics solutions that empower organizations to unlock valuable insights from their data. With its AI-driven analytics platform, Alteryx automates the processes of data preparation, analysis, and reporting, making analytics accessible to users at all skill levels. The platform offers features such as data enrichment, predictive modeling, and location intelligence, enabling businesses to improve operational efficiency and drive informed decision-making across various sectors, including financial services, retail, healthcare, and manufacturing.

Self-Service Data Analytics • Business Intelligence • Predictive Analytics • Spatial Analytics • Analytics

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Support the development, implementation, and maintenance of financial models within Anaplan, ensuring they align with business needs and best practices. • Partner with FP&A and other cross-functional teams to gather requirements, optimize existing Anaplan models, and enhance reporting capabilities. • Assist in data integrations between enterprise systems (e.g., NetSuite, Workday, Snowflake, SFDC) and Anaplan, ensuring accurate and timely data flow. • Contribute to process automation and workflow improvements, leveraging Alteryx and other tools to enhance data transformation and reporting. • Maintain data governance and model hygiene, ensuring accuracy, security, and compliance with internal policies. • Provide financial modeling and analysis support to business leaders, enabling strategic decision-making and cost-saving initiatives. • Support documentation exercises to ensure the models that we build can easily be understood by end users. • Support end-users with training, troubleshooting, and enhancements to financial systems and planning tools.

🎯 Requirements

• 3–5 years of experience in FP&A, Finance Systems, or Data Analytics roles. • 2–4 years of hands-on experience with Anaplan model building and optimization. • Experience with other Enterprise Performance Management (EPM) tools is a plus, but Anaplan expertise is preferred. • Familiarity with Anaplan Datahub best practices, New UX dashboarding, and reporting functionalities. • Familiarity with data governance and integration best practices across financial systems (e.g., NetSuite, Workday, SFDC). • Experience with Anaplan model building and optimization, including Datahub and UX dashboarding. • Exposure to SQL or similar database query languages is a plus but not required. • Knowledge of financial planning concepts, forecasting, budgeting, and scenario modeling. • Ability to troubleshoot model performance issues and optimize Anaplan for efficiency. • Hands-on builder who enjoys working directly in Anaplan and financial systems, refining and optimizing models. • Proactive problem-solver who evaluates existing processes, identifies areas for improvement, and collaborates with the team to implement enhancements. • Adaptable and flexible, able to handle shifting priorities and adjust to sudden changes based on business needs. • Resilient under pressure, maintaining focus and efficiency in a fast-paced, dynamic environment. • Strong financial acumen, able to quickly grasp complex financial models and translate business needs into technical solutions. • Clear and concise communicator, capable of explaining technical details to non-technical stakeholders. • Initiative-driven team player who actively engages with stakeholders, shares insights, and takes ownership of projects while working collaboratively. • Anaplan certifications (Model Builder, Solutions Architect, or Master Anaplanner) are a bonus. • Familiarity with Alteryx for data prep/blend workflows and Snowflake for financial data integration is a plus. • Familiarity with data warehousing concepts and how financial data integrates with Snowflake. • Prior exposure to ETL tools, API integrations, or workflow automation solutions. • Strong understanding of financial consolidation and multi-entity reporting. • Experience working with large datasets and performance tuning in a financial planning environment. • Excited to explore AI-driven automation in FP&A.