Data Service Center Senior Analyst
About The Position
This role involves analyzing, transforming, modeling, and visualizing data to provide accurate, timely, and actionable insights. The Senior Analyst will design, implement, and continuously improve automated processes and scalable data solutions. They will execute complex data requests, including data extraction, reconciliations, journal entry testing, and reporting activities. A key part of the role is to develop, document, test, and maintain processes that ensure data accuracy, integrity, and sustainability. The analyst will partner with engagement teams and business stakeholders to recommend data-driven approaches that support strategic objectives, and evaluate data quality, completeness, and reliability through appropriate due diligence and validation procedures. The position also contributes to the development and enhancement of data tools, methodologies, and best practices, and involves mentoring team members, performing peer reviews, and providing guidance on analytics and automation activities. Additionally, the role includes educating technical and non-technical stakeholders on data analytics capabilities, limitations, and opportunities, while managing priorities, communicating project status, meeting service level commitments, and maintaining confidentiality of sensitive information.
Requirements
- Bachelor's degree and 2–5 years of experience
- Experience with data tools (Excel, SQL, Snowflake, Tableau, Power BI, etc.)
- High proficiency in Excel
- Understanding of accounting, audit, risk, and financial principles
- Strong analytical and problem-solving skills
- Ability to work in fast-paced environments
- Strong prioritization and organizational skills
- Meet deadlines and service level agreements consistently
- Exercise independent judgment in matters of significance
- Commitment to continuous improvement
Nice To Haves
- Experience with SQL, Snowflake, Tableau, Power BI, Databricks, Alteryx, Python, AWS, Spark, SQL Server, Oracle, Teradata, IDEA, TeamMate, Adobe, or similar platforms
- Experience designing and implementing automated workflows and scalable data solutions
- Experience mentoring team members and reviewing work products for quality and accuracy
- Experience working in a professional services, consulting, audit, risk, or financial services environment
- Knowledge of data governance, data quality management, and analytics best practices
Responsibilities
- Analyze, transform, model, and visualize data to provide accurate, timely, and actionable insights
- Design, implement, and continuously improve automated processes and scalable data solutions
- Execute complex data requests, including data extraction, reconciliations, journal entry testing, and reporting activities
- Develop, document, test, and maintain processes that ensure data accuracy, integrity, and sustainability
- Partner with engagement teams and business stakeholders to recommend data-driven approaches that support strategic objectives
- Evaluate data quality, completeness, and reliability through appropriate due diligence and validation procedures
- Contribute to the development and enhancement of data tools, methodologies, and best practices
- Mentor team members, perform peer reviews, and provide guidance on analytics and automation activities
- Educate technical and non-technical stakeholders on data analytics capabilities, limitations, and opportunities
- Manage priorities, communicate project status, meet service level commitments, and maintain confidentiality of sensitive information
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What This Job Offers
Job Type
Full-time
Career Level
Senior
