Senior Consultant, Analytics

Senior Consultant, Analytics – Forvis Mazars US

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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 details analytic procedures, outputs, insights, and key reference information.
• Perform core data analytic tasks, including:
  • Designing and implementing procedures to collect, transform, cleanse, normalize, and analyze data.
  • Automating reports, dashboards, and other performance tools.
  • Providing ad‑hoc analysis and presenting results in a clear manner.
• Maintain high quality in work, client relations, and team relations.
• Actively build upon client relationship efforts to market and cross‑sell the various services provided by the firm.
• Acquire the skills necessary to develop quality client relationships and loyalty.
• Support any training and mentoring to 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 similar.
• Data affinity with attention to detail.
• Solution and problem‑solving orientation with an emphasis on product development, finding efficiencies, and streamlining processes.
• Strong presentation and technical writing skills.
• Able to quickly interpret data and transition it into tangible business recommendations, solutions, or analysis.
• Experience using statistical computer languages (R, Python, SQL) to query databases, manipulate data, and draw 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 statistical analysis to predictive and prescriptive analytic solutions (e.g., linear and logistic regression, time series forecasting, clustering, classification, optimization, and model training and development). Ability to determine the appropriate tool for each task.

Not Applicable

Full‑time

Research, Analyst, and Information Technology

Professional Services