Description

Job description:

We are seeking a highly skilled Techno-Functional Consultant with strong expertise in Anaplan. The ideal candidate will combine hands-on technical Model building and testing skills with a deep understanding of enterprise business planning, data flows, integration touchpoints, and end-to-end validation across planning models and enterprise data platforms.

---

Key Responsibilities

1. Anaplan Functional & Technical Validation

· Review business user requirements and user stories to create comprehensive test scenarios.

· Validate Anaplan modules, lists, hierarchies, actions, and processes.

· Test model-to-model, model-to-data hub, model-to-target system integrations (Anaplan Connect, APIs, Airflow, etc.).

· Perform regression, UAT, and performance testing on planning cycles and connected planning workflows.

· Lead end-to-end QA strategy for user stories.

· Maintain test plans, traceability matrices, test execution reports, and defect management.

· Work closely with product owners, planners, data engineers, and developers to ensure high-quality releases.

· Drive quality reviews, root-cause analysis, and continuous improvements.

Preferred

· Test REST APIs, microservices, and integration layers connected to Anaplan or downstream systems.

· Conduct schema checks, data integrity validation, reconciliation, and lineage verification.

· Validate data ingestion, transformation, and processing across ETL/ELT pipelines (e.g., Azure Data Factory, Snowflake, Databricks etc).

Required Skills & Competencies

Functional Skills

· Strong understanding of planning processes: FP&A / supply chain planning / workforce planning / sales planning, or related domains.

· Ability to translate business rules into test cases and validate model behavior.

Technical Skills (Mandatory)

· Anaplan: model structures, formulas, actions/processes, imports/exports, ALM, UX testing.

· QA: functional and technical testing, APIs, data ingestions, scheduled jobs etc

· Anaplan (Model Builder L3 and above)

Tools (preferred)

· Jira, AWS, ALM, GitHub, Sharepoint, Teams

· Snowflakes/Azure/AWS certification

· Python, PyTest, Postman, Selenium

· Knowledge of data quality frameworks

· Exposure to analytics platforms (Power BI/Tableau)

---

Education:

· Bachelor’s or Master’s degree in Commerce, Engineering, Computer Science, Data/Analytics, or related fields.

Key Skills

Education

Any Graduate