Role Description This role is structured as an Entry-Level (L1 – Foundational Scope) position, which refers to the type of tasks and level of complexity, not the candidate’s overall experience or capability. - Tasks are clearly defined, guideline-driven, and execution-focused, designed for high-volume, standardized work. - While the task complexity is entry-level, we maintain high language quality standards. - Candidates should have advanced proficiency (C1/C2 or equivalent) in the required language(s) to ensure accuracy and consistency. - We welcome applicants with more advanced experience (L2/L3); however, task scope and compensation for this role are aligned strictly to entry-level L1 responsibilities. Join a global AI language project supporting leading technology platforms. This is a flexible, entry-level opportunity to gain hands-on experience in AI data and language quality operations. - This role is part of an early-stage pilot program, where we are building a foundational team to support ongoing and future client initiatives. - We are actively building our initial team, and early contributors will be prioritized for ongoing work as the program expands. - All available work and budget are aligned with entry-level (L1) tasks, which are structured, execution-based, and designed for high-volume delivery. - This role is a starting point within a growing program, with potential for expanded opportunities based on project needs, performance, and budget. - Contributors who are active, reliable, and consistent will remain engaged within the project ecosystem as work continues to evolve. Qualifications - Advanced proficiency (C1/C2 or equivalent) in the required language(s). - Detail-oriented and able to follow instructions closely. - Interest in gaining experience in AI, data, and language operations. - Flexible and able to work with intermittent task availability. Requirements - Perform structured data and content reviews. - Execute quality checks (grammar, spelling, formatting). - Apply data labeling and tagging. - Follow client workflows and instructions. - Maintain accuracy and quality standards. - Incorporate feedback to improve performance. Benefits - Gain hands-on experience working on real AI and language data projects. - Build practical skills in data quality, annotation, and content review. - Flexible, remote work that fits around your schedule. - Opportunity to stay engaged in ongoing and future AI programs. - Visibility into higher-scope opportunities as projects expand. Engagement Type & Classification - This is a freelance, task-based engagement. - U.S. candidates: 1099 Contractor (project-based). - Non-U.S. candidates: Independent contractor via Deel. - Classification is determined by location and local compliance requirements. Onboarding & Compliance - Global contractors are onboarded through Deel. - U.S.-based workers are onboarded through Volga Partners’ payroll system. - Required documentation must be completed prior to starting. Compensation - Hourly compensation varies by country, language, and experience level. - Peru, Portugal, Spain: $3 – $5 USD per hour (DOE). - Compensation aligns with entry-level (L1) task scope and local market conditions. Important Notes - This role is designed for supplemental, flexible engagement. - No guaranteed minimum hours. - No guaranteed end date. - Tasks are offered first-come, first-served. - While advancement is not guaranteed, future opportunities may evolve based on project needs, performance, and budget. Who You Are - You have advanced proficiency (C1/C2 or equivalent) in the required language(s). - You are comfortable working on structured, guideline-based tasks.

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 seeking a Lead Data Analyst to lead a high-impact analytics team focused on network reliability and subscriber experience across approximately 30 million customers. This role is ideal for a senior analyst who operates at a near–Data Scientist level, combining deep analytical rigor, causal reasoning, and hypothesis-driven problem solving with strong communication and team leadership. This position goes well beyond standard reporting. The person in this role will be expected to answer complex business and operational questions such as: - What happened? - Why did it happen? - What should we do about it? The ideal candidate will serve as both a hands-on technical lead and a team lead, guiding analysis, delegating work, and partnering closely with business and technical stakeholders. This is a highly visible, customer-facing role that may require travel and on-site presence as needed. This position is fully remote within the U.S. and will be a W-2 hourly engagement for 6 to 9 months. 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 complex analytical investigations into service reliability, subscriber support-seeking behavior, and network performance trends. - Perform deep-dive analysis across large-scale datasets, including subscriber-level data with daily granularity and very large aggregate tables. - Apply causal inference and hypothesis-driven analysis to observational data in order to identify likely drivers of trends, degradations, and performance changes. - Use segmentation, drill-through analysis, before/after comparisons, and control-group logic to isolate likely causes and recommend next actions. - Write and execute advanced SQL queries in Amazon Redshift, including complex joins, aggregations, and large-scale data manipulation. - Use Excel as a primary analytical tool, including pivot tables, advanced formulas, aggregations, reconciliation techniques, and structured analytical modeling. - Build and interpret visualizations and dashboards using Tableau and MicroStrategy, and demonstrate familiarity with other major visualization tools as needed. - Read and debug Python code used in analytical workflows, validations, or lightweight automation. Ability to write scripts from scratch is preferred but not required. - Demonstrate an AI-enabled analytical mindset by identifying opportunities to use AI tools to accelerate analysis, improve insight generation, and strengthen communication of findings. - Prepare polished, executive-ready deliverables in PowerPoint, email summaries, and supporting documentation, with strong attention to clarity, logic, and audience-appropriate messaging. - Lead and supervise a small team of analysts, including mid-level and junior resources responsible for structured analysis, validation, and reconciliation activities. - Delegate work effectively, establish quality checks, and ensure consistent, accurate, and timely delivery across the team. - Partner with technical leadership, operations teams, and subject matter experts to rapidly understand domain context and translate data into actionable recommendations. - Develop a working knowledge of network architecture, DOCSIS, cable/video/internet service concepts, and related operational processes in order to interpret results more effectively. - Ensure that all metrics and outputs are analytically sound, including proper use of averages, weighted averages, rates, ratios, and other aggregation methods. 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. - Expert-level proficiency in SQL, including the ability to write queries on the fly, work with large datasets, and structure efficient, analytically sound logic. - Expert-level proficiency in Excel, including advanced formulas, pivot tables, data modeling, reconciliations, and large dataset analysis. - Strong working proficiency in Tableau and MicroStrategy. - Python is required at a minimum for the ability to read, understand, and debug existing code. Ability to write Python scripts independently is preferred. - Strong understanding of analytical fundamentals, including aggregation logic, metric design, weighted averages, ratios, frequencies, and rates. - Demonstrated strength in causal reasoning and observational data analysis, including the ability to distinguish correlation from likely causation and to structure defensible analytical conclusions. - Experience working with extremely large datasets and translating complex data into clear business insights. - Strong written and verbal communication skills, including the ability to present complex findings clearly to both technical and non-technical audiences. - Demonstrated leadership experience, including delegating work, reviewing output, guiding analysts, and managing delivery expectations. - Strong organizational skills and the ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications - Experience working in telecom, cable, broadband, video, DOCSIS, or network operations environments. - Experience with AWS / Amazon Redshift and cloud-based analytical workflows. - Experience with machine learning modeling is a plus. - Familiarity with other business intelligence and visualization tools such as Power BI, Looker, or similar platforms. - Experience supporting operational, technical, or reliability-focused analytics teams. Additional Information pureIntegration is an Equal Opportunity Employer (EOE), qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. All your information will be kept confidential according to EEO guidelines. Additionally, the Wage Transparency Omnibus Amendment Act of 2023 grants you rights regarding transparency in wage information. To learn more, please refer to this link. Disability Accommodation for Applicants to pureIntegration pureIntegration provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at [email protected] or by mail to: pureIntegration, Human Resources Department, 1801 Robert Fulton Dr, Suite 450, Reston, VA 20191. Please indicate the position you are applying for. - Know Your Rights: Workplace Discrimination is Illegal (dol.gov) - Right to Work (English and Spanish).pdf - E-Verify Participation Notice (English and Spanish).pdf pureIntegration would love to hear from you - your career journey starts here!

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 seeking a Junior Data Analyst to support data analysis, validation, and quality assurance activities within a network reliability analytics team. This role is designed for an early-career analyst who has strong attention to detail, solid Excel skills, and a desire to grow into more advanced analytical work. The position will support senior and mid-level analysts by executing repeatable analyses, validating outputs, running standard SQL queries, and helping ensure that deliverables are accurate, complete, and well documented. This is an excellent opportunity for someone who wants to build a strong foundation in large-scale analytics, business intelligence tools, and data-driven problem solving. The ideal candidate will be organized, intellectually curious, comfortable working with structured processes, and interested in learning how analytics can drive operational and technical improvements. This position is fully remote within the U.S. and will be a W-2 hourly engagement for 6 to 9 months. The hourly range is $30/hr - $40/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: - Perform data collection, validation, and reconciliation activities to support the accuracy and quality of analytical outputs. - Execute structured analysis in Excel, including pivot tables, filters, formulas, and basic aggregations. - Run predefined and moderately customized SQL queries to support data extraction and analysis. - Assist with the development and maintenance of reports, dashboards, and visual outputs in Tableau and MicroStrategy. - Follow established checklists, workflows, and validation procedures to confirm that data and results are complete and consistent. - Identify anomalies, inconsistencies, and data quality issues, and escalate findings appropriately. - Document processes, definitions, and validation steps so that work can be repeated confidently and consistently. - Support senior and mid-level analysts in preparing data for deeper analysis and troubleshooting investigations. - Build familiarity with Python through reading, troubleshooting, and gradually supporting lightweight analytical tasks where appropriate. - Demonstrate an AI-aware mindset by using approved tools to improve efficiency, organization, and first-pass analysis. - Collaborate with team members to deliver accurate, timely work and maintain strong quality standards. Qualifications - 1–2 years of experience in data analysis, reporting, quality assurance, business intelligence support, or a related role. - Bachelor’s degree in a relevant field, or equivalent professional experience. - Strong proficiency in Excel, including pivot tables, formulas, filtering, and general data manipulation. - Basic proficiency in SQL and comfort running and adapting standard queries. - Familiarity with Tableau, MicroStrategy, or similar business intelligence and reporting tools. - Exposure to Python is preferred, with willingness to learn how to read and debug simple code or scripts. - Strong attention to detail, accuracy, and follow-through. - Strong organizational, analytical, and communication skills. - Ability to work within structured processes while continuing to learn and expand analytical capability. - Ability to collaborate effectively with analysts, engineers, and business stakeholders. Preferred Qualifications: - Experience working with large or complex datasets. - Exposure to data validation, reconciliation, QA workflows, or reporting support. - Interest in growing into more advanced analytics, SQL, Python, and business intelligence work. - Exposure to telecom, network operations, or technical support data is a plus. Additional Information pureIntegration is an Equal Opportunity Employer (EOE), qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. All your information will be kept confidential according to EEO guidelines. Additionally, the Wage Transparency Omnibus Amendment Act of 2023 grants you rights regarding transparency in wage information. To learn more, please refer to this link. Disability Accommodation for Applicants to pureIntegration pureIntegration provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at [email protected] or by mail to: pureIntegration, Human Resources Department, 1801 Robert Fulton Dr, Suite 450, Reston, VA 20191. Please indicate the position you are applying for. - Know Your Rights: Workplace Discrimination is Illegal (dol.gov) - Right to Work (English and Spanish).pdf - E-Verify Participation Notice (English and Spanish).pdf pureIntegration would love to hear from you - your career journey starts here!

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 seeking a Mid-Level Data Analyst to support data-driven decision-making across network reliability and subscriber experience initiatives. This role is responsible for performing structured analysis on large, complex datasets; identifying trends and contributing factors; and delivering clear, actionable insights to technical and operational stakeholders. This position is ideal for an analyst who can work independently on well-defined problems while also partnering closely with a senior lead on more complex investigations. The role emphasizes strong fundamentals in SQL, Excel, data visualization, and analytical reasoning, with a focus on answering both what happened and why it happened. The ideal candidate will be comfortable working with large-scale datasets, building repeatable analyses, and using data to support troubleshooting, operational improvement, and measurement of network changes. This position is fully remote within the U.S. and will be a W-2 hourly engagement for 6 to 9 months. The hourly range is $40/hr - $50/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: - Perform structured analysis on large-scale datasets to identify trends, patterns, anomalies, and potential drivers of service performance outcomes. - Write and execute SQL queries in Amazon Redshift to extract, join, and analyze data from established sources. - Use Excel as a primary analytical tool, including pivot tables, formulas, reconciliations, and purpose-built aggregations. - Develop, modify, and interpret dashboards and visualizations in Tableau and MicroStrategy to support exploratory and explanatory analysis. - Support hypothesis-driven investigations by segmenting data across dimensions such as geography, equipment, network configuration, and operational history. - Assist with before-and-after analyses and comparative studies to help determine whether changes improved or degraded outcomes. - Read and debug Python code used in analytical workflows, data validation, or lightweight automation; ability to write scripts is preferred but not required. - Apply an AI-aware analytical mindset by identifying opportunities to use AI tools to accelerate analysis, improve first-pass exploration, or strengthen communication of findings. - Prepare clear, well-structured summaries of findings for technical and non-technical stakeholders through email, PowerPoint, and supporting documentation. - Partner with senior analysts, subject matter experts, and cross-functional stakeholders to refine problem statements, validate findings, and support business decisions. - Ensure analytical accuracy by validating outputs, checking aggregation logic, and reconciling results where needed. - Manage multiple assignments and deliver timely, high-quality work in a fast-paced environment. Qualifications - 3–5 years of experience in data analysis, business intelligence, advanced reporting, 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 working with large datasets and performing structured analysis to identify trends, correlations, inconsistencies, and contributing factors. - Strong proficiency in Excel, including pivot tables, formulas, data manipulation, and reconciliation techniques. - Proficiency in SQL, including joins, aggregations, filtering, and the ability to write and refine queries independently. - Strong working proficiency in Tableau and MicroStrategy. - Python exposure required at a minimum for the ability to read and debug existing code; ability to write scripts is preferred. - Strong understanding of analytical fundamentals, including proper use of averages, weighted averages, rates, ratios, and other aggregation methods. - Demonstrated ability to translate data into clear findings and business-relevant insights. - Strong analytical, problem-solving, organizational, and communication skills. - Ability to manage multiple priorities and work effectively with both technical and business stakeholders. Preferred Qualifications: - Experience working with telecom, cable, broadband, video, DOCSIS, or network operations data. - Experience with AWS and Amazon Redshift environments. - Exposure to statistical analysis, causal inference, or experimental/non-experimental analytical methods. - Familiarity with additional business intelligence or visualization tools such as Power BI or Looker. Additional Information pureIntegration is an Equal Opportunity Employer (EOE), qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. All your information will be kept confidential according to EEO guidelines. Additionally, the Wage Transparency Omnibus Amendment Act of 2023 grants you rights regarding transparency in wage information. To learn more, please refer to this link. Disability Accommodation for Applicants to pureIntegration pureIntegration provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at [email protected] or by mail to: pureIntegration, Human Resources Department, 1801 Robert Fulton Dr, Suite 450, Reston, VA 20191. Please indicate the position you are applying for. - Know Your Rights: Workplace Discrimination is Illegal (dol.gov) - Right to Work (English and Spanish).pdf - E-Verify Participation Notice (English and Spanish).pdf pureIntegration would love to hear from you - your career journey starts here!