• Structure and evolve the organization's Data Governance model; • Assess governance maturity, data quality, metadata, data lineage and compliance of data assets; • Define policies, standards, roles and a Data Ownership and Data Stewardship model; • Implement and strengthen data catalog practices, business glossary, classification and lineage using Databricks Unity Catalog; • Define data quality rules, monitoring metrics and remediation processes; • Ensure compliance with LGPD (Brazilian General Data Protection Law), privacy policies, retention and handling of sensitive data; • Support the incorporation of governance practices and documentation into squad deliveries.

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 - Research companies with outdated or inactive websites to locate current information.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 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.