Donnelley Financial Solutions (DFIN) is a leader in risk and compliance solutions, providing insightful technology, industry expertise and data insights to clients across the globe. We’re here to help you make smarter decisions with insightful technology, industry expertise and data insights at every stage of your business and investment lifecycles. As markets fluctuate, regulations evolve and technology advances, we’re there. And through it all, we deliver confidence with the right solutions in moments that matter.
Summary:
The Operations Data Analytics Senior is a key role on the Operations Strategy & Excellence Team. This team is charged with leading the most critical and complex cross-functional projects within global Operations to create bottom-line impact. Many of these projects directly support executive level initiatives and DFIN’s overall strategic vision. They require an advanced level of problem solving and data analysis, which is where this role becomes critical.
You will be independently leading the analytics workstream on these projects to provide insights that will drive pertinent business decisions. Since these projects span across many functions, you will be managing and influencing a wide range of cross-functional stakeholders and leaders. You will be independently compiling and cleaning data from many sources, building analytical models and dashboards, and sharing insights directly to functional leaders. You will have the opportunity to work on a variety of projects across the organization to build your problem solving, data analytics, communications, and project management skills.
We are looking for self-starters who are excited to jump in quickly and are comfortable working in a potentially ambiguous environment. This role is a fantastic opportunity for an experienced candidate who is excited to help solve challenging problems and expand their analytical skills.
Responsibilities:
- Independently contribute to a diverse set of complex operational improvement projects, including deliverables such as processes analysis, solution design, implementation plans, and training/communication
- Structure complex and ambiguous problems and create workplans to take action to solve them
- Perform analysis of both strategic and tactical business and operational questions while working independently, pragmatically, and with reliance on creative analytical curiosity
- Synthesize clear takeaways from complex information using both qualitative and quantitative methods
- Manage and influence a wide range of cross-functional stakeholders and leaders
- Compile information from various databases and data systems so that collected data can be integrated and applied to project analysis
- Identify, analyze, and interpret trends or patterns in complex data sets and introduce recommendations based on complex data
- Build and run models such as financial modeling, linear regression, capacity analysis, cost benefit analysis, forecasting, and staffing level analysis with limited oversite
- Work with business leaders to develop KPI’s to measure execution effectiveness
- Develop and maintain dashboards to track KPI’s and other project related data
- Translate complex data into intuitive visualizations and dashboards for various audiences, including senior leaders
- Act as an advocate for your team’s functional business partner relationship, based on direction from your Business Leader
- Work effectively with cross-functional teams to come up with solutions and move people to act
- Take ownership of your work and drive projects forward, with coaching from your team
- Establish trust-based relationships with project stakeholders
- Listen with empathy while synthesizing the most important business information
- Communicate effectively with various audiences, in a structured manner
- Coach and train more junior members of the team
Qualifications:
- Bachelor’s Degree in Business, Finance, Economics, Engineering, Data Science, Operations or related quantitative field
- 3-5 years of relevant data driven experience in an operations or business analyst role
- Consulting experience is a plus
- High level of intellectual and analytical curiosity
- Proficient to advanced skills in MS Office (Excel, PowerPoint, Word) and PowerBI
- Tableau/SQL experience is a plus
- Experience organizing and analyzing large data sets from multiple sources for patterns and trends
- Experience in translating complex data findings into actionable insights
- Strong communication and presentation skills, adept at simplifying complex data insights for audiences without a technical background
- Experience in data visualization principles and storytelling techniques
- Highly organized with exceptional attention to detail and follow-through
- Strong ability to manage multiple priorities with competing deadlines
- Team player with a positive attitude and strong work ethic
- Ability to effectively interact and build relationships with key stakeholders
- Demonstrated ability to use critical thinking when analyzing and resolving issues
- Strong project management skills
- Excellent oral and written communication skills
- Passion for solving tough problems and learning new areas of the business
- Comfort working with potentially ambiguous problems and working on projects that are consistently new and challenging
- Ability to lead and coach more junior members of the team
It is the policy of Donnelley Financial Solutions to select, place and manage all its employees without discrimination based on race, color, national origin, gender, age, religion, actual or perceived disability, veteran's status, actual or perceived sexual orientation, genetic information or any other protected status.
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