• Gather, document, and analyze business requirements • Interpret data and generate actionable insights • Create reports, dashboards, and visualizations • Collaborate with stakeholders to improve processes • Assist in data validation, quality checks, and reporting • Translate business needs into functional specifications

Title: Finance Analytics Manager Location: United States EE Full-Time Remote Job Description: HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes. To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently. Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability. Our people With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home. Our impact Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We're proud to be a part of that. Learn more about us on our YouTube Channel or Blog Posts Who You Are: HighLevel is seeking a Finance Analytics Manager to join our growing FP&A team. This highly visible, hands-on role will serve as the analytical engine behind HighLevel's product financial strategy - translating product and usage data into insights to better understand product performance and how product specific decisions impact core KPI metrics. You'll sit at the intersection of Finance and Product - writing queries, structuring datasets, and building scalable frameworks that give product leads a precise, trusted view of how product trends and user behavior translate into financial outcomes. You'll partner cross-functionally with FP&A, Product, Accounting, and Business Intelligence to drive accuracy, automation, and insight across our key product and financial metrics. This is an ideal opportunity for someone who is equal parts technical and financial, thrives in a data-rich SaaS environment, and is energized by digging deep into data to understand the "why" behind trends. What You Will Do - Own the product finance analytics infrastructure - build and maintain the data models and reporting frameworks that power product performance tracking, feature adoption analysis, and product analytics initiatives - Lead product KPI stewardship - maintain consistent metric definitions and data structures for ARR, GRR, NRR, feature adoption, and retention metrics, ensuring alignment between how metrics are defined at the product level and how they are used in financial models and forecasts - Design, execute, and measure product experiments - structure A/B tests, build the analytical frameworks to evaluate them, and quantify the financial impact of different product approaches and feature investments - Conduct deep analytical dives into product trends - go beyond surface-level reporting to understand the underlying drivers of engagement, retention, expansion, and churn, and translate those findings into clear financial narratives for leadership - Build and maintain dashboards and reporting tools that deliver timely, trusted product performance and revenue visibility to Finance, Product, and executive leadership - Write and optimize complex SQL queries to extract and transform large datasets from core systems (product, billing, data warehouse) into clean, analysis-ready outputs - Drive the development of scalable, automated analytics processes, improving accuracy, efficiency, and speed-to-insight across Finance and Product - Establish and uphold data governance and quality standards within the Finance domain, ensuring a single source of truth for critical metrics used across the business - Champion a data-driven culture within Finance and Product, helping elevate analytical rigor and consistency as the company scales toward public-company readiness What You Bring - Bachelor's degree in Finance, Economics, Data Analytics, Computer Science, or a related field - 8+ years total, or 6+ years of relevant experience in FP&A, Data Analytics, or a hybrid role within a high-growth SaaS environment - Advanced SQL proficiency required; experience with data warehouses (e.g., Snowflake) and product analytics strongly preferred - Experience with BI and visualization tools (e.g., Tableau, Looker, Power BI) - Hands-on experience designing and measuring experiments - structuring A/B tests, defining success metrics, and quantifying the financial impact of results - Experience conducting open-ended analytical investigations - comfortable starting from a trend or anomaly and independently structuring an analysis to understand its root cause and financial significance - Excellent analytical and problem-solving skills; able to structure and communicate complex financial data clearly - Proven ability to partner cross-functionally with technical and non-technical stakeholders to deliver scalable data solutions - Strong attention to detail, organization, and ability to manage multiple priorities in a fast-paced environment The salary range for this position is $102000 - $155000 annually. Equal Employment Opportunity Information The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision. #LI-Remote #LI-TA1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Title: Analyst, Procurement Data Remediation Location: New York United States Job Description: Finance | Procurement | Procurement Data Remediation Analyst (6-Month Contract) | NYC About ING: In Americas, ING's Wholesale Banking division offers a broad range of innovative financial products and services to domestic and international corporate and institutional clients. When you come to work at ING, you're joining a team where individuality isn't just accepted, it's encouraged. We've built a culture that's fun, friendly and supportive - it's the kind of place where you can be yourself and make the most of whatever you have to offer. We give people the freedom to take risks, think differently, take ownership of their work, and make great things happen. We're here to help you get ahead. And with our global network, there's plenty of scope to take your career in new directions, perhaps even ones you've never considered. ING Americas follows a hybrid work model, allowing for in-office / work from home flexibility. Hybrid work arrangements vary based on business area. Sound like the kind of place you'd feel at home? We'd love to hear from you. About the position: We are seeking a temporary resource to support data remediation and ongoing maintenance within the Procurement and Third-Party Risk tool, with a primary focus on improving TIPM (Third‑ and Intragroup‑Party Management) register data quality and reporting accuracy. The role will identify, correct, and validate data quality issues while partnering with Risk, Legal, Compliance, business stakeholders, and third-party vendors. This role is critical to ensuring data integrity, regulatory readiness, and audit‑defensible reporting. About the department: The US Procurement team supports procurement, vendor risk, and travel management activities across the US and Mexico City offices. Responsibilities: - Review existing third-party contract records to identify gaps, inconsistencies, and errors; remediate incomplete or inaccurate third-party classifications, risk attributes, and other key fields. - Perform data correction and enrichment activities in the Procurement tool in accordance with defined standards, work instructions, and Procurement / Third-Party Risk governance requirements. - Validate updates to ensure consistency across multiple reports and downstream outputs. - Extract, analyze, and reconcile third-party data in Excel to support remediation tracking and progress reporting. - Build and maintain dashboards and remediation trackers (including pivot tables, VLOOKUP/XLOOKUP, and formulas) for internal stakeholders. - Follow up on outstanding remediation actions and maintain clear documentation of outcomes and any changes, including remediation rationale and evidence when required. Qualifications and Competencies - Undergraduate degree - 3+ years of relevant work experience - Intermediate to advanced Microsoft Excel skills, including Pivot tables, VLOOKUP / XLOOKUP, logical formulas. - Proficiency with Microsoft PowerPoint and Word. - Strong attention to detail and the ability to work accurately with large datasets. - Experience supporting system data cleanup and remediation efforts. - Experience with Procurement tools / systems is preferred. Hourly Range: $50-62.00 ING is a committed equal opportunity employer. We welcome applicants of diverse backgrounds and hire without regard to race, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law. We celebrate these differences and rely upon your unique perspective to innovate and seize new opportunities. Come as you are. ING Bank does not have a commercial banking license in the U.S. and therefore not permitted to conduct a commercial banking business in the U.S. Through its wholly owned subsidiary ING Financial Services LLC, and its affiliates, it offers a full array of wholesale products such as commercial lending and a full range of FM products and services.

• Are you passionate about using data and emerging technologies to improve public services? This role puts analytics and innovation at the heart of GoA contact centre operations. • Reporting to the Manager, Contact Centre Business Support, the Data Analyst gathers, cleans, and maintains large volumes of contact centre data to ensure accuracy and usability for reporting, analytics, and AI-enabled tools. • Enhancing the contact centre and reporting platforms, analyzing operational data to identify trends and opportunities for improvement, and defining and monitoring analytics and AI performance metrics. • Developing and automating dashboards and reports that deliver actionable insights, communicating findings clearly to stakeholders, and working closely with technical teams on platform enhancements, agile projects, and continuous improvement initiatives.