Data & Analytics - Manager
Cfgi
| Company | Cfgi |
| Category | Data & Analytics |
| Location | United States |
| Remote | Hybrid |
| Employment | Full-time |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 10 May 2023 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (lever) |
Description
Data & Analytics – Manager
CFGI, founded in 2000, is a dynamic and fast-growing financial consulting firm, serving as the trusted partner to CFOs and their organizations. We help clients tackle complex challenges across accounting, financial reporting, transactions, regulatory compliance, digital transformation, and data analytics. We blend deep technical expertise with a hands-on, entrepreneurial approach to help the world’s leading companies move forward with confidence. We are actively expanding our Data & Analytics practice and seeking experienced professionals ready to deliver measurable impact for clients across a variety of industries.
We are seeking a results-driven Manager to lead data analytics, automation, and business transformation engagements for clients across a variety of industries. Managers oversee day-to-day engagement delivery, mentor Consultants, collaborate with senior client stakeholders, and serve as trusted advisors in delivering data-driven solutions that improve business processes, reporting, automation, and decision-making.
What you might expect:
Lead data analytics, automation, and business transformation engagements across a variety of industries.
Manage the design, development, and implementation of dashboards, reports, analytics solutions, and workflow automation initiatives.
Lead the transformation, cleansing, and analysis of structured and unstructured datasets to deliver actionable business insights.
Partner with client stakeholders to understand business requirements and develop scalable data-driven solutions.
Manage cross-functional projects involving finance, accounting, FP&A, operational reporting, technology implementations, and business transformation initiatives.
Develop and review client-ready analyses, dashboards, presentations, reporting packages, and executive-level insights.
Lead process improvement initiatives and implementation of analytics, automation, and reporting solutions.
Mentor Consultants by providing technical guidance, coaching, and performance feedback.
Participate in proposal development, client relationship management, and business development initiatives.
What you must have:
5+ years of experience in data analytics, business intelligence, business transformation, finance transformation, data engineering, analytics consulting, and/or technology consulting.
Experience leading data analytics, automation, reporting, or business intelligence initiatives within a consulting, professional services, finance, or corporate environment.
Experience managing cross-functional projects and delivering data-driven business solutions for internal or external stakeholders.
What sets you apart:
Experience leading analytics solutions using one or more business intelligence platforms, such as Power BI, Tableau, or similar visualization tools.
Experience leading workflow automation, ETL, or process automation initiatives using Alteryx, Power Automate, or similar technologies.
Experience programming with Python, SQL, R, or other analytics-focused programming languages to develop scalable business solutions.
Experience working with relational databases, cloud data platforms, data engineering, data modeling, or solution architecture technologies such as Snowflake, Databricks, Azure, AWS, or similar platforms.
Experience partnering with finance, accounting, FP&A, or business operations teams to develop and implement data-driven solutions.
Experience leading project teams, mentoring junior professionals, and serving as a primary point of contact for client stakeholders.
Nice to have:
Bachelor’s degree in Accounting, Finance, Information Systems, Computer Science, Statistics, Data Science, Engineering, or a related quantitative field.
CPA or other relevant professional certification.
Experience with predictive analytics, machine learning, artificial intelligence, or advanced analytics solutions.
Experience managing enterprise reporting environments, digital transformati
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