Forvis Mazars, LLP
Description & Requirements
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.
What You Will Do:
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 the implementation and support of the tools and products that 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 and insights, and key reference information.
Perform core data analytic tasks, including:
Designing and implementing procedures to collect, transform, cleanse, normalise, and analyse data
Automating reports, dashboards, and other performance tools
Providing ad‑hoc analysis and presenting results in a clear manner
Maintain and achieve 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
Minimum Qualifications:
Bachelor's Degree in quantitative field (or the equivalent work experiences), such as Statistics, Mathematics, Engineering, Computer Science, or similar quantitative field
Data affinity with attention to detail
Solution and problem‑solving oriented with an emphasis on product development, finding efficiencies, and streamlining processes
Strong Presentation Skills and Technical Writing Skills
Able to quickly interpret the 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%)
Preferred Qualifications:
Master's Degree in Data Science, Data Analytics, or related field
Advanced expertise with Python, Alteryx, and/or Tableau
Experience using a broad range of quantitative analytical techniques, from descriptive statistical analysis to predictive and prescriptive analytic solutions (i.e. linear and logistic regression, time series forecasting, clustering, classification, optimisation, and model training and development). Importantly – the candidate will have a strong aptitude to determine the appropriate tool for each task
#LI-BOCR, #LI-ATL, #LI-CLTSP, #LI-DFW, #LI-HOU #LI-GM1
#J-18808-Ljbffr
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.
What You Will Do:
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 the implementation and support of the tools and products that 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 and insights, and key reference information.
Perform core data analytic tasks, including:
Designing and implementing procedures to collect, transform, cleanse, normalise, and analyse data
Automating reports, dashboards, and other performance tools
Providing ad‑hoc analysis and presenting results in a clear manner
Maintain and achieve 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
Minimum Qualifications:
Bachelor's Degree in quantitative field (or the equivalent work experiences), such as Statistics, Mathematics, Engineering, Computer Science, or similar quantitative field
Data affinity with attention to detail
Solution and problem‑solving oriented with an emphasis on product development, finding efficiencies, and streamlining processes
Strong Presentation Skills and Technical Writing Skills
Able to quickly interpret the 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%)
Preferred Qualifications:
Master's Degree in Data Science, Data Analytics, or related field
Advanced expertise with Python, Alteryx, and/or Tableau
Experience using a broad range of quantitative analytical techniques, from descriptive statistical analysis to predictive and prescriptive analytic solutions (i.e. linear and logistic regression, time series forecasting, clustering, classification, optimisation, and model training and development). Importantly – the candidate will have a strong aptitude to determine the appropriate tool for each task
#LI-BOCR, #LI-ATL, #LI-CLTSP, #LI-DFW, #LI-HOU #LI-GM1
#J-18808-Ljbffr