Senior Business Analyst

TriNet 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. TriNet 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. TriNet 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. You may just be the right candidate for this or other roles. 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 the data lake and pipelines. * Act as the functional lead through delivery, supporting build, validation, and UAT. * Ensure alignment between business stakeholders and engineering throughout delivery. Validation & Continuous Improvement * Perform model validation, reconciliation, and sensitivity analysis. * Continuously refine models based on business feedback and evolving assumptions. * Identify opportunities to standardize and scale modeling components. * Establish best practices for scenario planning and predictive modeling on modern data platforms. * Drive adoption of reusable modeling frameworks and patterns. * Raise the bar on functional clarity, model documentation, and design quality. Thought Leadership Education Qualifications * Bachelor’s degree in Finance, Economics, Data Analytics, Information Management, Computer Science, or related field Experience Qualifications * 6+ years in business analysis, data analysis, or modeling roles (financial, operational, or analytical). * Experience building scenario planning, forecasting, or predictive modeling frameworks. * Experience working across Analytics, Finance, and Engineering teams. * Experience with modern data platforms (data lakes, pipelines) preferred. Skills & Abilities * Strong expertise in scenario planning, forecasting, or predictive modeling. * Ability to translate business needs into model logic and technical requirements. * Strong understanding of driver-based modeling and dependencies. * Familiarity with data platforms, SQL, and data pipelines (ETL/ELT). * Strong communication skills across business and technical stakeholders. * Experience with BI tools (Power BI, Tableau) preferred. Travel Requirements Minimal Travel Required Work Environment * Work in clean, pleasant, and comfortable office. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. * This position is 100% in office. The preferred location for this role is Atlanta, GA, and the salary range for this location is $70,800.00 to $141,600.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company’s discretion. The candidate’s final salary offer will be based on the candidate’s skills, education, work location and experience. A candidate’s compensation may also include bonuses consistent with TriNet’s corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: https://www.trinet.com/documents/blt5b61a1040aae1904 Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact recruiting@trinet.com to request such an accommodation.