Senior Consultant, Analytics

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The Analytics team transforms data into actionable insights that fuel business growth. Using advanced tools in predictive analytics, machine learning, and AI, they help organizations unlock new opportunities, reduce risk, and improve efficiency. Their proprietary cloud‑based platform delivers timely, digestible insights that enhance strategy and performance. With a strong focus on data strategy, governance, and security, they ensure data quality and compliance, empowering clients to make confident, data‑driven decisions.

• Engage with clients professionally and consistently to understand their needs, deliver effective solutions, and build trust.
• Support client engagements throughout all phases of the project lifecycle, including implementation and support of the tools and products we build.
• Support tax, audit, and other teams with insights gained from analyzing data, automating tasks, and problem‑solving.
• Utilize analytical, statistical, and programming skills to collect, analyze, and interpret data sets and develop data‑driven solutions to difficult business challenges.
• Create client deliverables and technical documentation that clearly detail analytic procedures, outputs, and insights.
• Design, implement, and automate procedures to collect, transform, cleanse, normalize, and analyze data; create dashboards and performance tools.
• Provide ad‑hoc analysis and present results in a clear, concise manner.
• Maintain high quality in work, client relations, and team relations.
• Build upon client relationship efforts to market and cross‑sell the firm’s services.
• Acquire and develop skills to build quality client relationships and loyalty.
• Support training and mentoring of staff and interns as necessary.
• Perform other duties as assigned by the firm’s leadership.

• Bachelor’s degree in a quantitative field (or equivalent work experience) such as Statistics, Mathematics, Engineering, Computer Science, or related field.
• Data affinity with attention to detail.
• Solution‑oriented and problem‑solving mindset with an emphasis on product development, efficiencies, and process streamlining.
• Strong presentation skills and technical writing skills.
• Ability to quickly interpret data and translate it into tangible business recommendations or solutions.
• Experience using statistical computer languages (R, Python, SQL) to query databases, manipulate data, extract insights from large datasets.
• Occasional travel required (~20%).

• Master’s degree in Data Science, Data Analytics, or related field.
• Advanced expertise with Python, Alteryx, and/or Tableau.>
• Experience with a broad range of quantitative analytical techniques, from descriptive statistics to predictive and prescriptive analytics (e.g., linear and logistic regression, time series forecasting, clustering, classification, optimization, model training and development); ability to select the appropriate tool for each task.