Note: The job is a remote job and is open to candidates in USA. CFGI is a dynamic financial consulting firm that partners with CFOs and their organizations to address complex challenges across finance, compliance, digital transformation, and data analytics. The Data & Analytics Manager will lead client engagements involving data analytics, automation, business transformation, reporting, and decision-support solutions while managing teams and mentoring Consultants. The role also partners with senior client stakeholders and contributes to client relationship management and business development.
Responsibilities
- 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, validation, and analysis of financial, accounting, operational, and transactional datasets to deliver actionable insights that improve business performance, reporting quality, and executive decision-making
- Partner with CFOs, Controllers, FP&A leaders, business executives, and technology stakeholders to translate business challenges into scalable data, reporting, automation, and analytics solutions
- Manage cross-functional projects involving finance, accounting, FP&A, operational reporting, technology implementations, and business transformation initiatives
- Develop and review executive-ready analyses, dashboards, presentations, and reporting packages that help finance and business leaders make informed strategic and operational decisions
- 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
Skills
- • 5+ years of experience in data analytics, business intelligence, business transformation, finance transformation, data engineering, analytics consulting, and/or technology consulting
- • Experience leading finance and accounting data analytics, automation, reporting, or business intelligence initiatives that support financial planning, controllership, operational finance, business performance management, or executive decision-making
- • Experience managing cross-functional projects and delivering data-driven business solutions for internal or external stakeholders
- • Experience interpreting accounting, finance, and operational processes and translating business requirements into data models, analytics solutions, dashboarding strategies, automation workflows, and technology roadmaps
- • 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, and operational leaders to improve reporting, automate key processes, establish trusted data foundations, and enable data-driven decision-making
- • Experience leading project teams, mentoring junior professionals, and serving as a primary point of contact for client stakeholders
- • Excellent interpersonal, written, and verbal communication skills with the ability to build relationships across client and engagement teams
- • Proactive in identifying client needs and developing trusted client relationships
- • Highly organized with the ability to manage multiple workstreams and competing priorities
- • Strong analytical and structured problem-solving abilities
- • Entrepreneurial, self-motivated, adaptable, ethical, and dependable
- • High energy with a commitment to delivering exceptional client service while mentoring and developing junior team members
- • 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 transformation initiatives, or large-scale data modernization projects
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