Data Analyst II

at  Fisher Phillips LLP

DATA ANALYST II

At Fisher Phillips, we know exceptional talent is the key to our success, to providing the best service to our internal and external clients. Being a part of the Fisher Phillips team means you will work with cutting edge technology in a professional and fun environment under leadership ready to invest in your professional development. If you have a growth mindset, are eager to challenge yourself, and desire to work with a team of professionals instituting change on an ongoing basis, keep reading.

REQUIREMENTS

• Bachelor’s Degree required.
• 2-4 years data analyst experience (legal experience preferred).
• Highly proficient in Microsoft Excel; and superior with Microsoft Office Professional Suite.
• Experience with Python and Tableau preferred.
• Extremely efficient, organized and resourceful.
• Critical thinking and problem-solving skills required
• Ability to multi-task and manage multiple projects, from start to finish, with shifting priority levels.
• Strong organizational and communication skills.
• Experience with routine billable time and cost capturing for analysis performed.
• Be consistently at work and on time; arrive at meetings and appointments on time; ensure work responsibilities are covered when absent.
• Respond promptly to attorney and client requests for service and assistance; meet commitments.
• Follow instructions; complete tasks on time; commit to the hours necessary to complete assignments; work independently.
• Approach others in a tactful manner; treat others with respect; react well under pressure.
• Contribute to building a positive team spirit; support everyone’s efforts to succeed.
• Takes ownership; gets the job done without the need for prodding or supervision.
• Respects the time constraints faced by the lawyers in the office.
• Adapts well to fluctuations in workload and changes in responsibilities.
• Maintains a professional demeanor in high-stress situations.

• Draft Damage Model to determine the gross damage exposure of claims that are egregious or authorized by relevant statutes. Design reports and formulae in excel that will provide the analysis needed to predict damages in different scenarios; and working with the attorneys to manipulate the data to get the information they need.
• Perform Time Card Analysis in order to identify any meal period violations and provide any other insightful information. Formulae will be altered to change the parameters and lawyers will ask for “what if”analyses, like what are the penalties if there are 1,000 FTE plaintiffs and they all worked w to x while missing y number of breaks a week and working z overtime hours per month on average.
• Receives confidential client data and performs quality control test. Cleans, aggregates, and transforms variety of data formats into excel format for analysis.
• Check modeling results for quality and reports on data as needed
• Analyze payroll and time data to determine if wages were appropriately disbursed.
• Pay plan calculator design and manipulation, which involves reading the criteria for commissions and bonuses that are set forth in a pay plan or contract and designing excel spreadsheets that will allow our client to use the calculator to determine wages owed. Legal training not required even though they are reading agreements. The criteria are fairly clear, usually, to someone with business acumen.
• Creating spreadsheets to analyze other business data, or manipulating spreadsheets provided by the client, on things like profit and loss calculations on a business unit related to a case we are defending
• Manage deadlines and ensure project steps are completed and progressed in a timely fashion.
• Interpret client data to identify statistical trends through data aggregation, sorting, and statistical analyses.
• Collaborate with other team members, attorneys, paralegals and class action attorneys.
• Statistical estimation and testing for adverse impact in employer hiring, promotion and termination processes.
• Linear and logistic regression modeling and hypothesis testing used in preventative pay equity reviews.
• Utilize Excel to work with client data to identify statistical trends in Human Resources data.
• Work with client data to identify statistical trends in employer selection
• General excel work beyond the capability of an admin or word processor
• Written and verbal contact with HR and legal professionals at Fortune 500 companies.