DE033928-Analytics and Modeling Senior Analyst

---ONLY THOSE APPLICANTS WHO ALREADY HAVE THE RIGHT TO LIVE AND WORK IN THIS COUNTRY ARE ELIGIBLE TO APPLY FOR THIS ROLE--- POSITION TITLE: Analytics and Modeling Senior Analyst WORK SETUP: Hybrid OVERALL PURPOSE: The Data Engineer manages the entire data solution lifecycle, ensuring high data quality through profiling, monitoring rules, and data asset certification. This role requires expertise in data manipulation, big data, automation, database interaction, and programming languages (SQL, Python, etc.) RESPONSIBILITIES: Code Development and Deployment: • Develop and test code for data pipelines and applications. • Create and maintain comprehensive test documentation. • Provide support for user testing, troubleshoot issues, and implement necessary fixes. • Perform code deployment to production environments and provide post-deployment support. Data Quality Management: • Conduct thorough data profiling and generate detailed reports to understand data characteristics and identify potential issues. • Collaborate with stakeholders to define data quality monitoring rules and ensure alignment. • Design, implement, and maintain robust monitoring, alerting, and reporting solutions for data quality. • Provide ongoing support and maintenance for existing data quality rules and monitoring solutions. • Define the approach and rules for data and dashboard asset certification. • Conduct ongoing certification of critical data assets based on agreed-upon methodologies. Data Engineering and Automation: • Perform data manipulation and transformation tasks efficiently and accurately. • Develop and optimize solutions for big data processing. • Implement automation strategies for repetitive data engineering tasks to improve efficiency and reduce errors. • Interact with various database systems to extract, load, and transform data. OTHERS: Project Shift Schedule: Night Shift Project Rest Day: Weekends Off Project/Team Location: Taguig, Uptown Bonifacio Tower 3

SKILL AND QUALIFICATIONS: • At least 2 years worth of Analytics/Data Engineer experience • Strong Proficiency in SQL • Strong Proficiency in Python • Excellent Data wrangling skills • Optimization skills (to write optimal code to optimize resource usage)

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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.

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