Role Description We're seeking a detail-oriented Data Enrichment Specialist to help review, validate, and update business records, ensuring accurate and reliable data for the team. This is a 3-month contract role with the opportunity for additional hours and a project extension. Duties and Responsibilities - Review and validate account records for accuracy. - Confirm company websites are active and associated with the correct business. - Verify business phone numbers, mailing addresses, and contact information. - Research companies with outdated or inactive websites to locate current information. - Identify and document every modification or addition made to each record. - Maintain organized, accurate spreadsheets and deliver completed work in a clean CSV format. - Follow established workflows while maintaining a high level of quality and consistency. Project Scope - Approximately 5,000 company records to review (not every record will require updates). - Initial quality assurance batch of 200–500 records before scaling. - Three-month project with work assigned in phases. - Opportunity for additional hours based on project pace and quality. Qualifications - Exceptional attention to detail. - Experience conducting online research and validating business information. - Strong written English communication skills. - Comfortable working with spreadsheets, including filtering, sorting, and maintaining clean data. - Able to work independently once processes are established. - Highly organized with the ability to perform repetitive tasks accurately. Requirements - Previous experience with data enrichment, lead research, CRM cleanup, or data quality projects. - Familiarity with LinkedIn and business directory research. - Experience working with CSV files and large datasets. - Experience supporting B2B sales or operations teams. Benefits - Permanent remote work flexibility. - Paid Time Off. - Health Maintenance Organization (HMO) coverage. - Annual performance bonuses. - Dedicated coaches offer an extra channel of support and skill-building. - Opportunities for professional growth.

Role Description The Talent Acquisition Data Analyst serves as a strategic partner to the VP of Talent Acquisition, combining analytical expertise with operational support to drive data-informed talent acquisition strategy and results. This role is responsible for managing and interpreting recruitment and people data across key platforms, producing actionable insights for leadership, and supporting the day-to-day priorities of the VP. The ideal candidate is highly organized, detail-oriented, and comfortable translating complex data into clear narratives for executive audiences. What You'll Do - Design, maintain, and distribute regular recruitment dashboards and reports including source effectiveness, offer acceptance rates, and pipeline metrics. - Analyze applicant tracking and HRIS data to identify trends, bottlenecks, and opportunities for improvement in the hiring process. - Identify needs for custom queries and reports in Workday to support talent acquisition initiatives. - Monitor and audit data integrity across recruiting platforms, flagging discrepancies and recommending process corrections. - Prepare ad hoc analyses and data visualizations to support leadership presentations and board-level reporting. - Maintain confidentiality and exercise sound judgment when handling sensitive personnel and organizational data. Qualifications - Bachelor's degree in Human Resources, Business Administration, Data Analytics, or a related field, preferred. - 1–3 years of experience in HR analytics, talent acquisition operations, or a related analytical role. - Hands-on experience with Workday (recruiting, onboarding, or HCM modules). - Advanced proficiency in Microsoft Excel including pivot tables, lookups, and data analysis. - Demonstrated ability to extract, clean, and analyze data from HCM and ATS platforms. - Strong written and verbal communication skills; ability to present data clearly to non-technical audiences. - High attention to detail and commitment to data accuracy and confidentiality. Company Description Point Quest Group is a leading national provider of special education services, partnering with 350+ school districts to help students with unique needs thrive academically, socially, and emotionally. Everything we do starts with one unwavering commitment: students first. Guided by a growth mindset, courageous leadership, and a deep culture of collaboration, fun, and determination, our teams show up every day ready to do whatever it takes for the students we serve. Through in-district services, therapeutic day schools, and specialized staffing, we deliver the personalized support every student needs — and deserves — to succeed. Point Quest Group is an Equal Opportunity Employer.

Role Description Our client is building a brand-new analytics team within their Ambulatory division and is seeking a driven Data Analyst to help shape how referral and provider data is used to improve patient access, care continuity, and growth. This role partners closely with Physician Relationship Managers, operations leaders, and analytics teams to transform referral, claims, and EHR data into actionable insights that drive measurable impact. Key Responsibilities - Data Management & Governance - Manage and enhance referral and provider data feeds across multiple systems - Combine, cleanse, and validate data from sources such as Epic (EHR) and claims systems - Partner with IT and enterprise analytics teams to ensure data integrity and usability - Build consistent, governed datasets to support dashboards and reporting - Analytics & Insights - Analyze referral patterns, care continuity, and provider performance trends - Identify out-of-network leakage and gaps in care continuity - Develop provider segmentation and targeting strategies - Translate findings into clear, executive-level insights and recommendations - Identify breakdowns in referral-to-encounter workflows and escalate opportunities for improvement - Reporting & Visualization - Design, build, and maintain Power BI dashboards focused on referral performance - Deliver ongoing and ad hoc reports (e.g., referral conversion, share of care, in-network utilization) - Track and measure outcomes of interventions over time - CRM & Process Optimization - Maintain CRM data structure, reporting integrity, and documentation standards - Train internal users on CRM best practices and ensure consistent data entry - Support initiatives to improve referral workflows and provider engagement - Cross-Functional Collaboration - Partner with Ambulatory, Acute, Access, and Service Line leadership - Serve as a liaison between business teams and enterprise analytics - Assist in onboarding providers to electronic referral tools - Support development of standardized playbooks and growth strategies Qualifications - 3–5 years of data analysis experience in a healthcare environment - Strong experience working with Epic referral data and workflows - Hands-on expertise with Power BI dashboards (required) - Advanced proficiency in Excel - Deep understanding of the referral lifecycle (entry → processing → outcomes) - Experience integrating and analyzing data from multiple systems Preferred Qualifications - Experience with claims data and healthcare performance metrics - Familiarity with CRM tools and data governance best practices - Understanding of hospital billing or ambulatory operations - Strong project management and communication skills What We’re Looking For - Analytical, strategic thinker with a “go-getter” mindset - Strong communicator who can translate data into actionable insights - Ability to work cross-functionally and influence stakeholders - Comfortable in a fast-paced environment building processes from the ground up Work Environment - Fully remote - Must reside in one of the following states: AL, DE, FL, GA, IN, KS, LA, ME, MD, MN, NE, NH, NC, ND, OH, OK, PA, SC, SD, TN, TX, UT, VA, WA, WV, WI, WY Interview Process - 2 steps, both virtual Additional Details - Contract-to-hire opportunity - Must be able to pass additional drug, personal history, employment screenings upon hiring Job Type & Location - This is a Contract to Hire position based out of Norfolk, VA. Pay and Benefits - The pay range for this position is $45.00 - $55.00/hr. - Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. - Benefits are subject to change and may be subject to specific elections, plan, or program terms. - If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Application Deadline - This position is anticipated to close on Jul 11, 2026.

Role Description Client is looking for Senior Business Analyst to support Data Democratization initiatives, and this is a remote position working with US CST Hours. - Work with business stakeholders to elicit, analyze, and document data, reporting, and analytics requirements across multiple business domains. - Analyze existing reports, dashboards, and datasets to identify gaps, redundancies, data quality issues, and opportunities for standardization or decommissioning. - Translate business requirements into well-defined user stories and acceptance criteria in Azure DevOps. - Partner closely with Data Engineers and Data Analysts to ensure business requirements are correctly implemented in data pipelines, semantic models, and reporting layers. - Support data validation and reconciliation activities by reviewing source-to-target mappings and business rules. - Coordinate and support User Acceptance Testing (UAT), ensuring stakeholder validation and approval prior to production deployment. - Document business definitions, KPIs, and data logic used in downstream reporting and analytics solutions. - Participate in Agile ceremonies including backlog refinement, sprint planning, reviews, and retrospectives. - As part of the Data Products team, help deliver accurate, complete, and timely data products that meet business needs. - Support initiatives related to Data Democratization, including self-service analytics enablement and data literacy efforts. - Deliver on predefined individual and team goals with a focus on quality and stakeholder satisfaction. Qualifications - 5+ years' experience working in enterprise data, reporting, analytics, or business analyst roles. - Experience in Data Analysis for Data & Reporting products. - Strong hands-on data analysis skills using Python, SQL, Databricks, and Power BI. - Strong quantitative, analytical, and interpretive skills. - Experience with Oracle, Salesforce data schemas; ability to map data flows from source systems to Databricks. - Practical experience working in Agile/Scrum environments. - Ability to multi-task and work in a team environment, while following a flexible schedule to meet deadlines. - Able to present clearly and persuasively, listen and solicit clarification, and respond articulately to questions. - Follows policies and procedures and supports the organization's goals and values. - Can coordinate multiple parallel initiatives, communicate changes and progress, and complete deliverables on time and within budget. - Ability to interpret a variety of instructions furnished in mathematical, written, oral, diagram, or schedule form. - Working knowledge of Databricks/Snowflake administration/architecture and capabilities. - Ability to query and display large datasets while maximizing the performance of the workbook. - Ability to interpret technical or dashboard structure and translate complex business requirements to technical specifications. - Work with business stakeholders to create valuable reports and dashboards that provide insight, improve/automate processes, or add value to the team. - High-level competency in Excel (Vlookup, pivot tables, etc.). - Understanding of advanced calculations and statistical functions. - A solid understanding of SQL, relational database management systems, data modeling, and normalization. - Strong communication skills and attention to detail and accuracy. - Prior experience in Data Engineering and/or Data Science. - Familiarity or experience with Atlan and/or Sigma Computing tools is a plus.