Job Description

US Job Description

Firm Information

Reed Smith is a dynamic international law firm dedicated to helping clients move their businesses forward. With an inclusive culture and innovative mindset, we deliver smarter, more creative legal services that drive better outcomes for our clients. Our deep industry knowledge, long-standing relationships and collaborative structure make us the go-to partner for complex disputes, transactions and regulatory matters.

Our team of 3,000 people (including more than 1,600 lawyers) across more than 30 offices in the United States, Europe, the Middle East and Asia, operate as one global partnership to drive progress for our clients, for ourselves and for our communities.

Position Summary

The Senior Business and Data Insight Analyst works closely with the leadership team and other stakeholders to help them understand the insights derived from data. This role combines analytical expertise, business acumen, and storytelling skills to translate complex data into clear, actionable insights that support strategy, decision-making, and business development. Responsibilities include analyzing and visualizing data, developing strategic recommendations, and delivering compelling narratives that communicate key findings. The role requires strong collaboration with cross-functional teams to build and maintain dashboards, reports, and data-driven tools that meet evolving business needs.

Job Duties and Responsibilities

• Drive all phases of a strategic insights project, including identifying the business need, determining required inputs, working with other data professionals to ensure the data pipeline supports the insights needed, creating the development plan and visual design, building the necessary content, and ensuring a successful launch through testing, quality assurance, and training.
• Translate information from multiple sources-including analytic results, market intelligence, and cultural understanding-into impactful and actionable insights, providing clear guidance and recommendations that drive business strategies and decision-making.
• Convey complex data through compelling narratives, reports, and presentations that are accessible to leadership and other stakeholders using storytelling techniques.
• Leverage data visualization principles and tools to create visually impactful insights for decision-makers, reducing the time required to interpret data and providing at-a-glance understanding of issues and actions needed.
• Work with the Head of Strategic Insights, data scientists, and data analysts to understand and advance predictive and prescriptive analytics.
• Collaborate with cross-functional teams to create compelling data stories that resonate with audiences and to develop strategic recommendations based on data insights.
• Design, develop, deploy, utilize, and evolve internal dashboards, reports, and analyses for fee earners and functional departments within the firm. Use these tools to monitor key business metrics and identify trends and opportunities in areas such as targeting, cross-selling, pitching, client reviews, events, practice development, planning, and strategy across client bases, geographies, industries, and practice areas.
• Create analytics-driven solutions that address business problems by understanding the characteristics of data sets, identifying patterns, and training end users on completed solutions to drive adoption.
• Analyze large and complex data sets using statistical methods and data visualization tools to support storytelling.
• Continuously monitor and evaluate data sources and analysis methods to ensure accuracy and reliability.
• Develop and maintain an understanding of key clients, their businesses, and the firm's lawyer-client relationships, as well as legal industry issues and developments that impact the success of the firm and inform analytics and insights.
• Conduct research using information from the firm's billing and CRM systems, as well as external sources, as needed to support analytic efforts.
• Work with stakeholders across functional departments to answer data-related questions and assist with ad hoc reporting and data analysis projects.
• Support the creation and maintenance of high-quality data at all phases of the lifecycle by contributing to decisions impacting data creation, transformation, storage, and governance.
• Stay up to date on industry trends and advancements in artificial intelligence and data science to inform storytelling strategies.
• Work closely with internal teams-including Innovation, Knowledge Management, Finance, Strategy, Client Value, Marketing, Alumni, HR, IT, Operations, Accounting, and Business Managers-to address data analytics needs.
• Assist in upholding standards, guidelines, and best practices for those involved in reporting, and influence analytics efforts across the firm.
• Assist in documenting and maintaining a glossary of metric measurements used in reporting and business analytics tools.
• Mentor and train junior analysts.
• Perform other duties as assigned.

Job duties and responsibilities included are not exhaustive and may be supplemented as necessary. Reed Smith reserves the right to revise or modify job duties and responsibilities at any time.

Requirements

Education: Bachelor's or Master's degree in a relevant field (e.g. data science, statistics, communication, marketing) or equivalent experience.

Experience:

Required :

• Minimum of 7 years of experience in data analysis, visualization, and storytelling.

• Proven ability to explain complex concepts to non-technical audiences.

Desired :

• Experience working in consulting, legal, or other professional environments that require continuous learning and regular communication of complex or challenging subject matter to business stakeholders.

Skills:

Expertise in:

• Microsoft Office Suite; database querying using SQL; and data analysis tools, including SQL, DAX, and Excel.

• Statistical analysis tools such as R or Python

• Data visualization tools (Tableau and Power BI preferred) and data visualization, UI/UX, and wireframing best practices.

• Data architecture principles; data warehouses (Snowflake preferred); and API integrations.

Familiarity with:

• Machine learning and statistical modeling techniques.

• Project management tools and UAT processes.

Other required skills:

• Excellent oral and written communication skills, including presentation, training, reading, writing, and listening.

• Strong critical-thinking and problem-solving skills, including the ability to identify root causes and develop innovative solutions.

• High attention to detail and strong commitment to accuracy.

• Aptitude for quickly learning new technologies, industries, and tools.

• Ability to collaborate effectively with individuals at all organizational levels.

• Sound judgment, discretion, and professionalism in handling sensitive and confidential information.

• Demonstrated ability to drive innovation and thrive in a fast-paced, collaborative environment.

Other

Supervisory Responsibilities: No

Equipment To Be Used: Personal computer and other office equipment such as telephone, calculator, fax, machine, copier, scanner, etc.

Essential Job Functions:

• Sit and/or stand for prolonged periods, as the role involves extensive computer use and meetings.

• Maintain prolonged visual focus and finger, hand, and wrist dexterity associated with computer use, including typing and using a mouse.

• Proficiently use computers, telecommunication devices, and digital collaboration tools.

• Accurately read and interpret written documents, computer screens, and other visual displays.

• Hear and understand verbal communication, including conversations and instructions, to facilitate effective collaboration and coordination with team members and stakeholders.

• Ability to concentrate for extended periods, apply critical thinking to assigned tasks, and take appropriate action in a fast-paced environment.

• Ability to maintain sustained attention to detail and manage multiple priorities requiring continuous mental effort and focus.

• Work independently to manage tasks and deadlines in a remote or hybrid work environment, ensuring accountability and responsiveness without direct oversight.

• Must work in office as required.

• Must be able to travel for meetings and training as required.

• Ability to work long days as required to meet project or business needs.

Working Conditions: You will be required to work in the office a minimum of 2 days per week. Occasionally called upon to work hours in excess of your normal daily schedule. The details of your weekly schedule will be discussed further with your direct supervisor.

Pay Ranges: This represents the prese]]> <

Job Tags

Similar Jobs