Senior Business Analyst

Tri Net is a leading provider of comprehensive human resources solutions for small to mid-size businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance.

Tri Net has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR.

Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. Tri Net always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply.

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Role Overview

As part of the Enterprise Data & Analytics team, the Senior Business Data Analyst - Planning & Modeling is responsible for leading functional analysis and conceptual solution design scenario planning, predictive modeling, and advanced analytics use cases.

This role focuses on bridging business-driven modeling needs with technical implementation-partnering with Analytics and business teams to understand modeling methodologies, assumptions, and decisioning requirements, and translating them into scalable, reusable frameworks built on modern data platforms.

Acting as the connective layer between model designers, end users, and engineering teams, this role ensures that models are not only analytically sound, but also operationalized as robust, scalable data solutions that drive consistent, enterprise-wide decision-making.

Locations

Atlanta, Georgia (In Office)

Key Responsibilities Scenario Planning & Predictive Modeling

* Partner directly with model designers and end users to understand how models are constructed, used, and drive decision-making.

* Translate modeling approaches, assumptions, and workflows into clear functional requirements and structured logic for implementation by engineering teams.

* Ensure alignment between intended model design, business usage, and technical implementation, maintaining fidelity as models are operationalized.

* Act as the primary liaison between business stakeholders and engineering, ensuring models are accurately represented, scalable, and reusable within the data platform.

* Lead requirements discovery and facilitation for modeling use cases.

* Translate business needs into structured modeling logic and technical requirements (inputs, calculations, outputs).

* Document assumptions, business rules, and dependencies to ensure transparency and reproducibility.

* Ensure alignment of decisioning needs and intended model outcomes.

Business & Functional Analysis Model Architecture & Data Understanding

* Define end-to-end model architecture, including:

* Inputs (source systems, drivers)

* Transformations and calculation logic

* Outputs (metrics, KPIs, reporting layers)

* Analyze and document data flows from source → model → consumption.

* Ensure alignment with data governance, lineage, and quality standards.

Conceptual & Functional Solutioning

* Design modeling frameworks and patterns prior to technical implementation.

* Evaluate multiple approaches (e.g., centralized vs modular models, batch vs near real-time).

* Identify edge cases, gaps, and constraints that impact model accuracy and usability.

* Ensure solutions are extensible across multiple business domains and use cases.

Delivery Partnership & Execution Support

* Partner with data engineering to operationalize models in…