Assistant Controller
Founded in 2015, Harver delivers a suite of automated solutions that optimize talent decisions for some of the world’s leading organizations. Rooted in over 40 years of science and rich data insights backed by industrial- organizational and cognitive science, we enable organizations to engage, hire, and grow the right talent in a fast and fundamentally unbiased way. Having processed over 100 million candidates, Harver provides trusted, flexible, and adaptable solutions, including assessments, video interviews, scheduling, and reference checking. Harver has helped more than 1,300 customers take the sure path to the right talent. As a growing global organization with Harverians in 20 different countries, Harver is proud to be named among the 2022 Inc. 5000 list of the fastest-growing private companies in America.
At Harver, we are:
- Collaborative - We embrace the power of collaboration and recognize that every individual brings unique strengths to the table.
- Curious - We embrace curiosity as a driving force for continuous learning and innovation.
- Transparent - We believe in fostering an open, honest, and accountable environment where information flows freely and clearly.
Corporate Controller
We are seeking a strategic and hands-on Corporate Controller to lead and scale our accounting and financial operations in a fast-growing, private equity-backed SaaS company. The ideal candidate is a CPA with a strong technical accounting background, experience in SaaS or technology, and familiarity with private equity reporting and lender compliance. This role will be instrumental in building a highly reliable accounting and finance function, working with shared services, and build a team to cater to the existing work environment and future growth. This is a hybrid position at our office in Atlanta, West Midtown.
What You'll Do:
Accounting Operations & Reporting
- Prepare monthly financial statements for multiple entities
- Validate monthly license revenue and recognition for other revenue types in accordance with ASC 606
- Prepare journal entries for expense accruals, depreciation/amortization, re-allocations, deferred rent, and more
- Perform detailed reviews of the General Ledger and maintain balance sheet reconciliations
- Validate subscription, unit, and service revenue and make necessary adjustments
- Act as Finance approver for all employee expense reports via Concur
- Manage AR aging and collaborate with Client Success to resolve overdue invoices and determine quarterly allowance adjustments
- Oversee cash management for domestic and foreign bank accounts, including weekly payment approvals and monthly reconciliations
- Monitor banking covenants for compliance and prepare lender reporting packages
- Coordinate annual audits across jurisdictions (U.S., U.K., Netherlands), and support tax and audit preparation with external advisors
Strategic Finance Support
- Prepare standard weekly, monthly and quarterly investor reporting
- Collaborate with FP&A on budgeting, forecasting, and variance analysis
- Contribute to strategic initiatives including M&A due diligence, international expansion, and system implementations
- Recommend, document, and maintain strong internal controls, policies, and procedures
- Research and resolve accounting issues to ensure compliance with US GAAP
Systems & Process Improvement
- Administer the accounting tech stack including ERP, billing, and AP (Sage Intacct, Maxio, Tipalti)
- Lead projects to increase efficiency and automation of accounting operations
- Assess and improve ERP systems and financial tech tools to support scale and growth
- File monthly sales tax returns in nexus states and ensure compliance with all jurisdictional requirements, including Secretary of State filings.
- Team Leadership & Culture
- Mentor and develop accounting team members
- Foster a culture of accountability, continuous improvement, and cross-functional collaboration
What You'll Need:
- Active CPA license required
- Bachelor's degree in Accounting; MBA or advanced degree a plus
- 3-5 years total accounting experience, in an accounting leadership role (Controller or Assistant Controller)
- SaaS or tech industry experience preferred; strong understanding of ASC 606 and deferred revenue
- Experience in private equity-backed environments and working with lender covenants
- Strong knowledge of US GAAP, financial controls, and audit readiness
- Very strong Excel skills and experience with financial systems such as Sage Intacct, NetSuite, or similar
- Excellent analytical, communication, and organizational skills
- Roll up the sleeves and get the work done kind of attitude
The benefits of working at Harver:
- A competitive base salary
- Discretionary paid time off
- Flexible benefit plan options
- Retirement savings programs
- Bonus opportunities and employee referral rewards
Harver is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Senior Data Science Analyst
About Harver
Harver is the industry leading hiring solution helping organizations optimize their talent decisions. Rooted in over 35 years of rich data insights, the company’s portfolio of solutions enables organizations to make the best talent decisions across the entire employee lifecycle. Having processed over 100 million candidates, Harver provides trusted, flexible, and adaptable offerings making hiring better, faster, and fundamentally more fair. More than 1,300 customers trust Harver to help put purpose to work.
At Harver, we are:
- Transparent: We believe in fostering an open, honest, and accountable environment where information flows freely and clearly.
- Collaborative: We embrace the power of collaboration and recognize that every individual brings unique strengths to the table.
- Curious: We embrace curiosity as a driving force for continuous learning and innovation.
Job Overview:
We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune 500 clients. You'll execute predictive validity studies and outcome analyses that prove ROI for major enterprise clients across various industries.
This role focuses on the end-to-end execution of outcome studies—from client data intake and matching through analysis delivery. You'll work with established frameworks and tools while applying strong analytical thinking to translate complex data into compelling client insights.
In this role you get to:
- Client Data Management
- Intake and validate client outcome data (performance, retention, hiring funnel, demographic, productivity metrics)
- Clean and standardize diverse data formats from enterprise HRIS and ATS systems
- Match client candidate records with Harver assessment data with high accuracy
- Troubleshoot data quality issues and communicate data requirements to clients
- Document data specifications and maintain data integrity throughout analysis lifecycle
Predictive Validity & Outcome Analysis
- Execute concurrent & predictive validity studies using established statistical frameworks
- Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition outcomes from assessment data
- Conduct ROI analyses demonstrating business impact (cost savings, quality of hire improvements)
- Perform disparate impact analyses to ensure assessment fairness
- Generate client-ready reports and visualizations communicating technical findings to business stakeholders
Technical & Collaboration
- Query and analyze data using Looker and SQL from internal databases
- Collaborate with Data Scientists on methodology refinement and framework improvements
- Support Client Success teams with technical questions and ad-hoc analyses
- Maintain analysis documentation and contribute to team knowledge base
- Present findings to internal stakeholders and client-facing teams
- Strategic collaboration with People Science team to improve efficiency and effectiveness of solutions
- Identify custom solutions based on client escalations and build into repeatable process for similar issues in the future
We’re looking for people who have:
- 5+ years of experience in data analysis, preferably in HR tech, people analytics, or consulting
- Strong proficiency in data cleaning, transformation, and quality assurance with complicated real-world datasets
- Solid statistical foundation (regression, hypothesis testing, correlation analysis, model evaluation metrics)
- Experience applying machine learning models as a user (model scoring, interpretation, validation)
- Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries)
- SQL proficiency for data extraction and transformation
- Experience utilizing version control tools like GitHub or Bitbucket to manage collaborative repositories (e.g., Python, R, SQL), ensuring a transparent, peer-reviewed, and audit-ready data environment.
- Strong communication skills—ability to explain technical concepts to non-technical audiences
- Excellent attention to detail and commitment to data accuracy
- Self-directed work style with ability to manage multiple client projects simultaneously
Preferred
- Background in I-O psychology, psychometrics, or talent assessment (highly valued for facilitating onboarding and understanding assessment validation principles)
- Familiarity with psychometric concepts (validity, reliability)and experience evaluating adverse impact
- Experience in HR analytics or workforce analytics
- Experience with BI tools (Looker, Tableau, Power BI, or similar)
- Background working with enterprise clients or in client-facing analytical roles
- Knowledge of EEOC guidelines and employment law considerations in assessment validation
Why Join Harver:
- Work with Fortune 500 clients on high-impact talent decisions
- Collaborate with a senior team of data scientists and engineers
- Contribute to cutting-edge work in AI-driven talent assessment
- Opportunity to grow into more strategic or technical roles
Location:
Preference for candidates based on the East Coast, with strong preference for Atlanta location.
Reporting Structure:
This role reports to the Data Science Manager and works closely with a team of senior data scientists, Client Success, and Product teams.
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