We have the opportunity for an experienced Senior Data Analyst to join the firm’s Data Analytics team to provide support for our Affirmative Action and OFCCP Compliance group. Senior Data Analysts are responsible for providing internal and client-facing analytic and data visualization solutions. This position will perform a number of duties, including developing processes and techniques to extract data from a variety of sources, determining how best to analyze the data, and generating descriptive and statistical analysis on the data, including regression and classification analyses. This position requires prior experience providing analytical support to a team of attorneys preferably in the Affirmative Action and compliance context.
Essential Functions
• Perform analysis related to a number of employment-specific project types, including pay equity, reduction-in-force, employment discrimination, affirmative action plans, audits, and other litigation-related exposure or damages models.
• Locate the necessary data sources, extract and convert raw, sometimes discordant data into structured files ready for analysis, verify data integrity, run preliminary descriptive analyses, and finalize documents and data for production.
• Manipulate, clean, analyze, and refine data using a variety of tools including R, Python, Excel, and other software tools.
• Create dashboards and other data visualizations to help drive insights and tell the story of the analysis.
• Develop and document processes and techniques used to extract, clean, and analyze data.
• Explain your work to others with varying degrees of technical experience.
• Daily interaction with attorneys, clients, and users, including presenting findings and summaries of analyses as well as collaborating to create data-driven solutions to improve their workflows or processes.
• Proactively explore data looking for relationships, connections, and latent value using both descriptive and statistical techniques.
• Manage your projects and work with minimal direction to ensure that deadlines are met and relevant stakeholders are kept in the loop.
• Assist other team members as needed to ensure that exceptional work product is delivered consistently and in a timely fashion.
• Locate and define new process improvement opportunities.
Requirements
• Bachelor’s degree in Economics, Statistics, Mathematics, or other quantitative field or a Bachelor’s degree in another field and equivalent work experience in a quantitative capacity – Master’s degree preferred.
• At least 3 years’ experience as a data analyst or business data analyst providing support for compliance, including preparation for audits, annual AAPs, EEO-1s, and VETS-4212.
• Significant experience using statistical packages for analyzing large datasets (e.g. R, SAS, STATA, SPSS, etc.).
• Significant experience extracting, analyzing, cleaning, and interpreting client payroll data in a variety of forms.
• Significant experience generating and evaluating exposure analyses based on a variety of underlying damages models.
• Experience with Python or R or an interest in learning.
• Experience with Tableau, Power BI, or other data visualization platform or an interest in learning.
• Expert-level Excel skills and familiarity with MS Office suite.
• Knowledge of SQL and comfortable querying databases.
• Comfortable interacting with attorneys and clients and taking on a prominent role related to data, including presenting the results of your analysis to clients and stakeholders.
• Ability to explain complicated analysis and processes in terms that are understandable to non-experts both orally and in writing.
• Self-starter capable of working remotely and with little supervision and able to work through and resolve technical issues on their own.
• Team player, customer service focused, and adept at multi-tasking and prioritization.
• Familiarity with Agile project management.
• Initiative and problem-solving abilities with a focus on building it better and continuous improvement.
• Keen interest in technology and innovation, and ability to quickly learn new platforms.