Analytics Solutions Senior Associate

Job Responsibilities

• Collaborate with Finance managers, product owners, and internal stakeholders to clarify business needs and translate them into well-defined analytical requirements, solution approaches, and delivery plans.
• Contribute to backlog refinement and sprint execution by breaking down work into actionable tasks, estimating effort, documenting assumptions, and delivering outputs with predictable quality and timelines.
• Create and maintain reporting, dashboards, data extracts, and lightweight tools that support decision-making, with a focus on standardization and reuse across similar use cases.
• Build and enhance reliable data pipelines by cleaning, modeling, and optimizing queries across large financial datasets, partnering with others to ensure solutions align with data standards and platform patterns.
• Automate manual work (for example, ad hoc queries, quality checks, and recurring reports) using tools such as Alteryx and Python, improving efficiency while maintaining auditability.
• Apply strong controls and documentation practices, including testing evidence, lineage awareness, reproducibility, and verified data and visualization accuracy consistent with evolving control requirements.
• Partner with Technology and platform teams to support operationalization of solutions, including deployment readiness, control alignment, and transition to steady-state support.
• Support enablement by producing clear documentation and participating in training and knowledge-sharing (including short how-to materials) to drive adoption and correct usage.
• Help measure adoption, user experience, and recurring pain points, and propose iterative improvements that reduce cycle time and improve stakeholder outcomes.

Required Qualifications

• Bachelor's degree in MIS, Computer Science, Mathematics, Engineering, Statistics, Finance, or a related field.
• 3+ years delivering analytical solutions, reporting, or data automation work, preferably in complex, regulated environments, with demonstrated ability to turn raw data into clear insights.
• Strong capability in business intelligence and data wrangling, including Tableau (advanced) and at least one of Alteryx, SAS, or Python for pipelines and Quality Control (QC).
• Strong SQL skills across relational and/or big data systems, including the ability to build and optimize complex queries and large-scale summaries.
• Demonstrated experience developing reporting and conducting objective analysis using imperfect and/or disparate data sources, with attention to data quality and reconciliation.
• Ability to understand business context, ask effective questions, and communicate analytical findings clearly to both technical and non-technical audiences.
• Strong written and verbal communication skills, including the ability to document logic, assumptions, and controls in a way that supports review and reuse.
• A consistent focus on controls, risk management, and disciplined execution, with flexibility to adapt to evolving control requirements.