• Lead initiatives to build intelligent insights and automated analysis workflows that improve efficiency and decision-making. • Identify high-impact Finance Operations use cases and translate them into scalable analytical and decision-support solutions. • Partner with Finance Operations, Data, and other cross-functional teams to design, scale, and automate financial data products and dashboards. • Lead the design of scalable datasets, analytical models, and dashboards that enable forecasting, performance tracking, and risk management. • Design robust datasets and perform complex SQL queries across multiple systems to ensure data accuracy, usability, and scalability. • Lead complex analyses (e.g., revenue, cash flow, bad debt) to uncover drivers of performance and turn insights into measurable outcomes. • Present insights to senior leadership and produce executive-level materials with clear, data-driven narratives. • Influence cross-functional teams (Finance, Finance Operations, Sales, Data Engineering) by bringing structure to ambiguity and driving alignment.

• Support analytic data needs for assigned business unit • Handle complex data requests and acts as a “go to” person for other Data Analysts • Identify and prioritize recurring and ad hoc data analysis needs • Enable management to control medical costs • Ensure delivery of quality healthcare to members • Coordinate analysis and development initiatives with cross health plan initiatives and capabilities • Perform analysis and reporting to support the Health Plan and Corporate • Manage development efforts with technical team liaisons • Including business requirements gathering and documentation • testing • delivery and user adoption • Effectively communicate deliverable expectations to the Health Plan • Analyze plan data including service and clinical and trend analysis • Develop reports through various data reporting tools • Manage • mentor • and train team of analysts • Use ServiceNow to intake • track • and resolve requests/issues; maintain clear documentation and stakeholder updates • Promote SQL querying standards and knowledge sharing across the team; support peer reviews and reusable query patterns

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.