Senior Analyst

Summary:
We’re looking for a Senior Analyst, Finance Data & Analytics Products with the ability to assist the business Data Engineers within the Margin Planning and Direct data spaces. They will be able to understand business needs and translate those into technical requirements. Daily, they will work to design, develop, and implement new decision-support solutions that help the business leverage/operationalize analytical insights. They will use their expertise in both business and technology to translate business needs into technical requirements helping the business product owner(s) to be successful and the data engineers to be efficient.
Responsibilities:

• If this is you, you’ll be working within the Margin Planning and Direct Finance teams to 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.
• A 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).
• Technically, this means you’ll be responsible for supporting the financial analytic capabilities that transform to meet the challenges of managing a complex data landscape.

Skills:

• Excellent written and oral 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 in writing, 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.
• Intermediate knowledge in Power Pivot and Excel Macros
• Solid understanding of Database concepts, data structures, and algorithms.
• Understanding of solution and technical design.
• Problem-solving and analytical mindset.

Education and Experience:

• Bachelor’s degree (B.S.) in a quantitative field such as Statistics, Mathematics, Economics, Business, or IT or a 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.

Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on a number of factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.