Sr Data Analyst

Senior Data Analyst

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

The Senior Data Analyst, working in collaboration with and in support of the firm's strategic initiatives, in the Data Analytics group is responsible for data-driven forecasting, leading analytics projects, advancing the firm's data innovation efforts, and applying advanced analytical techniques to support strategic decision-making. This role requires strong analytical and technical skills, financial acumen, and a passion for leveraging data to drive business outcomes.

The Sr Data Analyst uses tools such as Power Desktop/Power BI Report Builder (SSRS) to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve data quality issues. This individual leads large-scale analytical initiatives, mentors junior analysts, and collaborates with stakeholders to prioritize business needs and deliver actionable insights.

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation skills. The role also involves fostering collaboration, driving continuous improvement, contributing to the firm's data strategy, and ensuring timely, accurate deliverables. Working closely with functional leads across the firm, this position conducts research, analyzes and presents data to identify trends, forecast outcomes, and support informed decision-making related to financial performance. Duties will include financial performance data analysis and presentation, interpreting data from analysis using statistical techniques, reporting, forecasting, developing and implementing data collection techniques to optimize statistical efficiency.

This position can sit in any of our U.S. offices and offers a hybrid work schedule.

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. Highly proficient in data visualization tools (PowerBI Report Builder/SSRS or Tableau). Experience in management reporting, report creation process and dashboard design. Highly proficient in Microsoft office, with advanced skills in Excel, including complex formulas, pivots tables, data analysis, VBA, and data visualization techniques. Experience with advanced statistical methods and data modeling techniques. Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming languages.

Demonstrated experience in creation of complex queries, data manipulation, and automation of data processes. Experience/Interest in Machine Learning and AI implementation. 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

• Bachelor's degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field.

Minimum Years of Experience

• 4 years' experience in a experience as a Data Analyst or similar role including experience with data modeling, statistical analysis and processes.

Essential Job Expectations

All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include:

• 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.

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.

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.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits, including medical/dental/vision insurance, and 401(k).

DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.