Sr Financial Data Analyst

About the role

The Senior Financial Data Analyst plays a pivotal role within DLA Piper's Data Analytics group, supporting the firm's strategic initiatives through data-driven forecasting, analytics projects, and data innovation efforts. This role demands strong analytical and technical skills, financial acumen, and a commitment to leveraging data for impactful business outcomes.

Responsibilities

• Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact analytics, forecasting, reporting, and insight-driven solutions.
• Collaborate with FP&A, Service Delivery, Senior Finance leadership, and other key stakeholders to identify and prioritize complex business problems.
• Implement best practices and innovative solutions to enhance data integrity.
• Drive and manage large-scale analytical projects that span multiple teams and functions.
• Coordinate cross-functional efforts to ensure project alignment with business objectives and successful execution.
• Analyze trends and derive actionable insights to address complex business challenges.
• Design and develop advanced solutions to streamline processes, improve data quality, and drive intelligent automation.
• Champion continuous improvement initiatives to enhance operational efficiency and effectiveness.
• Engage with stakeholders at all levels to understand their needs and provide tailored data solutions.
• Strong communication and financial storytelling skills with both technical and non-technical stakeholders.

Desired Skills

• Strong analytical and problem-solving skills, with the ability to interpret large complex datasets, identify trends, and provide actionable data-driven insights.
• Highest proficiency in data visualization tools (Power BI Report Builder/SSRS or Tableau).
• Experience in management reporting, report creation process, and dashboard design.
• High proficiency in Microsoft Office, with advanced skills in Excel, including complex formulas, pivot tables, data analysis, VBA, and data visualization techniques.
• Experience with advanced statistical methods and data modeling techniques.
• High proficiency in programming languages.
• Demonstrated problem-solving skills and the ability to adapt to changing business needs.
• Ability to work independently and as part of a team.
• Attention to detail and high level of accuracy in work.

Minimum Education & Experience

• Bachelor’s degree in Finance, Economics, Accounting, Data Science/Analytics, Computer Science, or related field.
• 4+ years’ experience as a Financial/Business/Data Analyst or similar role, including experience with data modeling, statistical analysis, and processes.

Essential Job Expectations

• Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences.
• Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner.
• Meet deadlines, manage competing priorities, and commit to meeting high standards.
• Comply with firm policies and procedures.
• Maintain confidences as required in a law firm environment.

Physical Demands

• Sedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international.

Work Environment

• The individual selected for this position may have the opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm's discretion.

Application Process

• Interested candidates must apply directly online. Application materials sent via email will not be accepted.

Disclaimer

• The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all work elements that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions.