About World Business Lenders (www.wbl.com) World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing. Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands. We’re looking for someone with strong communication skills in both English, both spoken and written. - Please note that all resumes should be submitted in English. We are seeking two Data Analysts, one specializing in data engineering & migration, and another focused on data pipeline & automation. Candidates with strengths in either area are encouraged to apply. Key Responsibilities: - Improved data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors. - Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations.

• Collaborate across application and data teams to orchestrate data solutions that meet needs from transactional, analytics and data science needs • Ensure solutions adhere to policies outlined at Comcast level such as data privacy and security • Build prototypes, publish design patterns for use by the organization • Provide guidance on getting started in cloud and cloud migration techniques • Work with the data governance team to ensure critical data elements are identified and monitored • Facilitate in-depth architectural discussions and design exercises to create world-class cloud solutions • Conduct surveys, brainstorming sessions, and analysis to understand business need/fit • Identify technology and skills gaps in solution implementations • Mentor and lead teams of data engineers and architects, fostering a culture of continuous improvement, collaboration, and technical excellence

THE WORK: As a Data Engineer specializing in Informatica Administration, you will work independently, become a subject matter expert, and actively contribute to innovative solutions for complex data challenges. Your expertise in Informatica Administration will be key as you engage in projects that drive data quality and governance. We value your contributions and the fresh perspectives you bring to our collaborative environment. Key Responsibilities - Design and develop reusable workflows for data ingestion, quality, transformation, and optimization. - Build scalable data pipelines for extraction, transformation, and loading (ETL). - Deploy data solutions into production environments with efficiency and reliability. - Migrate data from legacy data warehouses following cloud architecture principles. - Automate data flow processes to improve accessibility and usability for stakeholders. Mandatory Skills - Informatica – Intermediate - Data Governance – Intermediate - Data Quality Management – Intermediate - Data Strategy Design – Intermediate Nice-to-Have Skills - Data Compliance Policies – Beginner - Sensitive Data Handling – Beginner - Data Optimization Techniques – Beginner - Documentation of Data Processes – Beginner Bonus Points - Intermediate proficiency in data governance. - Advanced proficiency in data quality management. - Expert proficiency in cloud architecture. - Intermediate proficiency in data pipeline optimization. - Master proficiency in data compliance policies. About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com Declaración de igualdad de oportunidades en el empleo Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.

• Own a clearly defined data engineering product space, accountable for measurable customer and business outcomes • Partner closely with engineering and design to discover, shape, and deliver high-impact solutions • Translate strategy into outcome-focused roadmaps aligned to company and product goals • Apply strong product, design, and systems thinking to evaluate trade-offs across value, feasibility, and impact • Use qualitative insights, quantitative data, and experimentation to define success metrics and adapt direction • Guide execution through prioritization and hands-on collaboration from build through launch • Communicate progress, risks, and decisions with clarity, turning complexity into actionable insight • Continuously improve product practices and ways of working across teams • Leverage AI-enabled tools to enhance discovery, decision-making, and product outcomes