Analyze HR data to identify trends and provide actionable insights, develop dashboards for reporting, maintain data integrity in HR systems, and support workforce planning efforts to enhance operational effectiveness.

Title: Lead Data Insights Analyst (SQL, Root Cause Analysis, Stakeholder-Facing) Location: Reston, VA, USA Job Description: - temprop="jobLocation" itemscope="" itemtype="http://schema.org/Place">Employees can work remotely - temprop="employmentType">Full-time Company Description pureIntegration is a technology consulting firm with 22+ years of experience servicing Fortune 100 clients headquartered in the DC area. We serve clients in the fastest growing industry of communications, media, and entertainment. Job Description We are looking for a hands-on Analytics Lead who can go beyond “what happened” and uncover why it happened and what should be done next. In this role, you will work with large-scale operational data to identify drivers of key trends, generate actionable insights, and guide business decisions. You will also lead a small team of analysts, ensuring high-quality, accurate, and impactful analysis. This is a high-visibility, stakeholder-facing role requiring strong communication, structured thinking, and the ability to influence outcomes. This is a fully remote, W-2 hourly contract role (6–9 months) that requires frequent travel to client locations across the U.S. The hourly range is $60/hr - $75/hr. Candidates will be paid based on their work experience and skills. Candidates are also eligible for limited benefits such as health insurance, professional development, training, our referral bonus program, and our wellness program. Responsibilities: - Lead end-to-end analytical investigations to answer business questions such as: - Why did key metrics change? - What are the drivers behind customer or operational trends? - Perform deep-dive, hypothesis-driven analysis using SQL and Excel. - Identify root causes using segmentation, trend analysis, and comparative analysis. - Translate complex data into clear, actionable insights for leadership. - Create high-quality deliverables (PowerPoint, summaries, recommendations). - Partner with business and technical stakeholders to validate findings. - Manage and mentor a team of analysts (delegation, QA, prioritization). - Ensure accuracy through data validation, reconciliation, and quality checks. - Drive structured problem-solving and analytical rigor across the team. Qualifications - 7–10+ years of experience in data analysis, advanced analytics, data science, or a related field. - Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, Information Systems, or a related discipline, or equivalent professional experience. - Strong experience in data analysis focused on insights (not just reporting) - Expertise in SQL (complex queries, joins, aggregations) - Advanced Excel skills (pivot tables, data manipulation) - Proven experience performing: - Root cause analysis - Trend/driver analysis - Hypothesis-based problem solving - Experience presenting insights to business stakeholders/leadership. - Strong communication and storytelling skills NICE-TO-HAVE: - Experience with Tableau or MicroStrategy. - Experience working with large datasets (e.g., Redshift, data warehouses). - Telecom, operations, or customer behavior analytics experience. - Experience leading or mentoring analysts. - We are specifically looking for candidates who can interpret data and influence decisions. What Success Looks Like: - You identify the true drivers behind business trends. - Your insights lead to clear, actionable decisions. - Your work stands up to scrutiny and is data-validated. - Your team delivers accurate, high-quality analysis at scale.

• 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.