Control Manager Senior Associate

Description

Join us as a Control Manager Senior Associate and turn complex data into business-changing insights—wrangling and visualizing datasets, leveraging AI with prompt engineering, and automating reporting to power smarter, faster decisions. You’ll partner across the organization to map and optimize processes, drive digital transformation, and define the metrics that showcase measurable impact.

As a Control Manager Senior Associate within the organization, you will perform data wrangling, cleaning, and transformation to prepare datasets for analysis and reporting. You will build and maintain dashboards and visualizations that translate complex data into actionable business insights. You will conduct exploratory data analysis to identify trends, patterns, and anomalies that inform decision-making. Leveraging prompt engineering techniques, you will extract insights from AI-powered analytics tools and develop automated reporting solutions to enhance data accessibility. You will partner with project teams to analyze, map, and document processes, identifying opportunities for automation and efficiency gains. Supporting process improvement initiatives, you will focus on simplification, reducing manual touchpoints, and digital transformation. Collaborating with stakeholders, you will translate business needs into analytical solutions and analyze data assets to contribute to executive decision-making. You will create process metrics and KPIs to measure the success of improvement initiatives and work across cross-functional teams to support organizational change. Additionally, you will mentor junior team members while continuously developing your own analytics and business skills, fostering continuous improvement and innovation within the team and organization.

Job responsibilities:

Perform data wrangling, cleaning, and transformation to prepare datasets for analysis and reporting

Build and maintain dashboards and visualizations that translate complex data into actionable business insights

Conduct exploratory data analysis to identify trends, patterns, and anomalies that inform decision-making

Leverage prompt engineering techniques to extract insights from AI-powered analytics tools

Develop and maintain automated reporting solutions that reduce manual effort and improve data accessibility

Partner with project teams to analyze, map, and document processes, identifying opportunities for automation and efficiency gains

Support process improvement initiatives focusing on simplification, reducing manual touchpoints, and digital transformation

Collaborate with stakeholders to understand business needs and translate them into analytical solutions

Analyze data assets to extract actionable insights and contribute to compelling narratives that inform executive decision-making

Create process metrics and KPIs to measure improvement initiative success

Work across cross-functional teams to support process improvement and organizational change initiatives

Required Qualifications, Capabilities, and Skills

Bachelor's degree in Business Analytics, Data Science, Engineering, Mathematics, Statistics, or related quantitative discipline

3+ years of experience in data analytics, business intelligence, or related analytical roles

Strong proficiency in SQL for data extraction, manipulation, and analysis

Experience with data wrangling and manipulation using tools such as Python (Pandas, NumPy) or similar

Proficiency in data visualization platforms (Tableau, Power BI, or similar)

Experience with Excel/Google Sheets for advanced analysis and modeling

Familiarity with ETL processes and data pipeline concepts

Understanding of basic statistical methods and their application to business problems

Experience using AI-powered tools and prompt engineering to enhance analytical workflows

1+ years of experience in business transformation, process analytics, data analytics, or operational improvement

Strong communication skills, both written and verbal, with ability to present to senior audiences

Preferred Qualifications, Capabilities, and Skills

Advanced degree (Master's) in Analytics, Business, or related field

Management consulting exposure or internship experience

Relevant certifications: Lean Six Sigma (Yellow Belt, Green Belt), Google Data Analytics Certificate, Tableau Certification and experience with Alteryx or similar data preparation tools

Knowledge of process mining tools and techniques

Familiarity with prompt engineering best practices for analytical applications and understanding of agile methodologies, change management, or process improvement frameworks

Knowledge of Lean Six Sigma, customer service principles, and systems thinking applied to process optimization

Experience with survey design and qualitative data analysis and familiarity with A/B testing and experimental design concepts

This role requires alignment with firm-wide standards and regulatory requirements while maintaining commitment to continuous learning and staying current with emerging analytics technologies and business transformation methodologies.