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Role : Model Builder (Anaplan/Pigment)
Technical Analyst for FP&A processes – puts intersection of
Finance and Technology, translating complex business
requirements into scalable, high-performance models. They ensure
data integrity, improve forecasting accuracy, and enhance user
experience through automated, intuitive planning
solutions.
Key Responsibilities
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Model Building & Design:
Configure and maintain Anaplan lists, modules, complex
calculations, dashboards, and user experience (UX) pages,
applying best practices (e.g., DISCO methodology) to ensure
scalability.
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Requirements Translation:
Partner with FP&A and business stakeholders to
turn user stories and financial planning requirements into
functional, optimized technical models.
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Data Integration & Management:
Develop, monitor, and troubleshoot data integration
pipelines (e.g., Anaplan Connect, CloudWorks, or Pigment
integrations) from ERPs/CRMs like NetSuite, Salesforce, or
SAP.
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Support & Optimization:
Provide second-level technical support, resolve
performance issues, manage user security, and maintain
technical documentation.
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User Training & Enablement:
Develop training materials and guide business users on
new functionalities and best practices for using the
planning tool.
Qualifications
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Experience:
3–5 years of hands-on model-building experience within
Anaplan or Pigment, preferably supporting FP&A or Sales
Finance functions.
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Technical Skills:
Advanced Proficiency in multidimensional modeling,
SQL, and data manipulation.
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Certification:
Anaplan Certified Model Builder (Level 1, Level 2, or
Level 3) or equivalent Pigment experience is highly
preferred.
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Finance Knowledge:
Strong understanding of FP&A processes (e.g.,
budgeting, forecasting, revenue modeling, headcount
planning).
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Tooling:
Strong Excel modeling skills required; experience with
visualization tools like Tableau or Power BI is a
plus.
Key Competencies
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Analytical Thinking:
Ability to simplify complex business problems into
structured data models.
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Collaboration:
Strong communication skills for partnering with
cross-functional teams and stakeholders.
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Detail-Oriented:
Focused on data validation, accuracy, and technical
debt resolution.
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