Senior Analyst Margin Developer

Senior Analyst Margin Developer for Finance Data & Analytics Products

We're looking for a Senior Analyst Margin Developer for Finance Data & Analytics Products. You will understand business needs and translate those into technical requirements. Daily, you will work to design, develop, and implement new decision support solutions that help the business leverage operationalize analytical insights. Use your expertise with both business and technology to translate business needs into technical requirements helping the business product owner(s) to be successful and the data engineers be efficient. You'll build data and reporting solutions supporting the transition to our new state-of-the-art forecasting and actuals capabilities. You will gather requirements and design data flows to support data engineers who use relational databases, ETL processes, and SAP.

Successful candidate will bring strong SQL, SSRS, Alteryx, Azure Data Factory (including the creation of Azure pipelines), and SSAS Cube skills (including handling its measures). You'll be responsible for supporting the financial analytic capabilities that transform the company to meet the challenges of managing a complex data landscape.

Requirements :

Bachelor's degree (B.S.) in quantitative field such as Statistics, Mathematics, Economics, Business, or IT or Combination of relevant education, experience, and training 3+ years of experience with an emphasis on business reporting and analytics required. Experience with financial data and systems. Ability to lead and / or work on cross-functional teams and provide project management support. Excellent written and verbal communication skills. Problem structuring and strategic problem-solving skills. Demonstrated ability to work independently and manage multiple projects with multiple business partners on firm deadlines. Able to influence and communicate effectively, both verbally and written, with team members and business partners. Expert skill in Azure Data Factory, and creating Azure pipelines in the Azure cloud platform. Proficiency in SQL Server Analysis Services (SSAS) Cube and handling its measures. Expert skill in relational SQL and Database Analysis. Experience in creating SQL Stored Procedures. Experience in ETL tools, namely Alteryx. Experience in SQL Server Reporting Services (SSRS). Intermediate knowledge in Power Pivot and Excel Macros. Experience with SAP. Experience with Cloud Data Stacks (AWS, Snowflake, etc). Solid understanding of Database concepts, data structures and algorithms. Understanding of solution and technical design. Problem solving and analytical mindset.