Senior Consultant, Analytics

Overview

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, insights, and key reference information.
• Perform core data analytic tasks, including designing and implementing procedures to collect, transform, cleanse, normalize, and analyze data.
• Automate reports, dashboards, and other performance tools.
• Provide ad‑hoc analysis and present 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 (Statistics, Mathematics, Engineering, Computer Science, or related) or equivalent work experience.
• Data affinity with attention to detail.
• Solution‑oriented and problem‑solving focused, emphasizing product development, efficiencies, and process streamlining.
• 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 data sets.
• Occasional travel required (~20%).

• Master’s Degree in Data Science, Data Analytics, or related field.
• 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). The candidate should have strong aptitude to select appropriate tools for each task.

Referrals increase your chances of interviewing at Forvis Mazars US by 2x.

Apply BELOW