Role Description This project is structured as a Level 1 (L1) engagement, which refers to the complexity and scope of tasks — not the candidate’s overall capability or career level. - L1 tasks are clearly defined and guideline-driven - Execution-focused rather than strategy-based - Designed for foundational quality review and data processing - Structured with step-by-step instructions This specific client initiative requires high-volume, standardized execution work, which is why it is classified as L1. We welcome applicants with advanced (L2 or L3) experience; however, please note that compensation and task scope for this role are aligned strictly to L1 responsibilities. Higher-level strategic or analytical functions are not part of this engagement. If you are comfortable performing structured, execution-based tasks and understand the defined scope, we encourage you to apply. Qualifications - Interest in AI, data, or language technology - Prior exposure to data entry, content review, QA, or similar work (preferred, not required) - Strong attention to detail - Willingness to learn and adapt Requirements - Must be able to read and write in English and Arabic - Must understand and accept that this is a task-based, freelance role - Must have a reliable computer or laptop - Must have stable, high-speed internet - Must be comfortable with flexible and intermittent work Benefits - Entry point into AI language and data operations - Flexible, remote, task-based work - Build real-world experience - Exposure to large-scale AI data projects Compensation Hourly compensation varies by country and region and is based on experience, language, and local market requirements. - Range for Morocco, Tunisia and Turkey: USD $3 – $4 per hour (DOE) Important Notes - This is a supplemental income opportunity - No guaranteed minimum hours - No guaranteed end date - No guarantee of conversion to higher-level roles - Tasks are offered first-come, first-served

• Assist in designing and structuring database architecture to support scalable data storage, efficient querying, and optimized performance. • Demonstrate understanding of relational databases, including tables, schemas, indexing, normalization, and relationships. • Help build and maintain data pipelines to move and transform data between systems while ensuring accuracy and reliability. • Create dashboards, reports, and visualizations using SQL, Excel, Tableau, Power BI, or Looker Studio to communicate findings clearly to stakeholders. • Analyze large datasets to identify trends, patterns, correlations, and actionable insights that support business decisions. • Collect, organize, and maintain data from multiple sources while ensuring data integrity and accuracy. • Write, maintain, and optimize SQL queries for reporting, analysis, and data extraction. • Clean, preprocess, and transform raw data using SQL and Python to prepare it for analysis and reporting. • Work with cross-functional teams to understand business requirements, define KPIs, and translate them into analytical solutions. • Identify inefficiencies in data processes and implement automation using SQL, Python, or ETL tools to improve workflow and data quality.

Emergent Method is seeking a qualified Data Conversion Business Analyst to support the design and testing of the data conversion activities for a state government agency. This is a full-time position that will support ongoing project operations. Remote candidates will be considered and are encouraged to apply. The ideal candidate is experienced, self-motivated, and adept in handling a wide range of business analysis and data-related tasks. This individual must be flexible, able to work in a fast-paced environment, and willing to embrace the challenges of supporting the continued development and success of a growing workforce. Key responsibilities include, but are not limited to, the following: Work with the end-user identifying and documenting business and technical requirements Minimum qualifications include: A bachelor’s degree in business, computer science, information systems, or a related field At least two years of experience serving as a data conversion business analyst (or directly involved in data conversion activities) At least five years working with relationship databases At least five years in implementing SQL queries At least five years of experience in translating business requirements into functional and technical designs At least five years working with end-users to identify and document requirements as well as to document detail designs At least three years of experience in data analysis using SQL queries At least three years of experience in testing/validating results Experience with using JIRA Excellent verbal, written, and interpersonal communication skills - ability to articulate complex concepts in a clear manner Strong analytical, problem-solving, and interpersonal skills High attention to detail and accuracy – strong quality of work and organizational skills Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Experience with applying new technologies to business needs in a technologically innovative, change-driven organization Advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skills Preferred Qualifications: Experienced with State Agency IT systems Experienced in designing batch programs/processes Experienced in database designs Experienced in documenting source-to-target field-level data mappings Experienced in working with end-users identifying and addressing data quality issues Background Emergent Method is a nationally recognized management consulting firm focused on developing and implementing plans, programs, and initiatives that result in transformative impact. We are focused on strengthening the skills, capacity, and resources of our clients to support them in creating unique and valuable experiences for their stakeholders. With an uncommonly high degree of ownership in the work we do, our team thrives on solving complex challenges, delivering solutions built to last, and driving transformational growth. We work from the inside out — fully engaged with our client teams and invested in their success. Their most pressing challenges and opportunities become our own. Our flexible, adaptable approach allows us to work seamlessly as trusted advisers, embedded team members, or both, to support client needs, using every engagement as an opportunity to deliver powerful results, together. Our expertise travels well to all markets and benefits all sectors, allowing us to work wherever there’s a good client fit. Our consultants have significant experience working across a wide range of industries and in the private, public, and nonprofit sectors. We successfully work within the bounds of both large-scale projects that may span years as well as short-term, time-sensitive efforts. Our integrated, interdisciplinary team of consultants brings an expansive range of skillsets and experience to power a broad scope of services and solutions. Whether you are looking to develop or implement a new strategy, brand, marketing or communication campaign, IT system, program, or a unique and innovative project, we stand ready to be your partner. For more information, visit emergentmethod.com. Emergent Method and associated entities are equal opportunity employers. We do not discriminate against employees or applicants for employment on any legally recognized basis or any protected class under federal, state, or local law.

• Develops, creates, transforms, and models data to support the training efforts for the Readiness & Employment System. • Provides support on system data and business rules to support creation of new or enhanced information for the RES Training team. • May support data modeling and ETL design and development to populate new data structures, including data warehouses, operational data stores and data marts. • Performs data validation to assure data quality within new and enhanced databases. • Analyzes and assesses existing source system data to design appropriate data-centric solutions. • May develop models for data marts and data stores. • Works closely with business stakeholders and source system owners to research data anomalies and provide recommendations for resolutions. • May support end users with specific ad hoc reporting and analytic needs to provide further insights on the data. • May support end users with additional training data access and needs.