DE033928-Analytics and Modeling Senior Analyst

Accenture in the Philippines; Taguig; Híbrido; PHP 700 000 - 1 100 000; Tempo integral

Resumo da oferta

Accenture in the Philippines is seeking an Analytics and Modeling Senior Analyst to support data solution lifecycles in a hybrid setup in Taguig. The role focuses on data manipulation, big data processing, automation, and governance of data assets to ensure high data quality.

Night shift project and weekend off noted in the description. You will develop pipelines, profile data, and collaborate with stakeholders to implement monitoring and certification of data assets and dashboards.

Qualificações

• 2+ years of analytics or data engineering experience.
• Strong proficiency in SQL and Python.
• Excellent data wrangling and optimization skills.

Responsabilidades

• Develop and test code for data pipelines and applications.
• Create and maintain comprehensive test documentation.
• Provide support for user testing, troubleshoot issues, and implement fixes.
• Perform code deployment to production environments and post-deployment support.
• Conduct data profiling and generate detailed reports on data characteristics and issues.
• Define and monitor data quality rules with stakeholders.
• Design and maintain robust data quality monitoring and alerting systems.
• Maintain existing data quality rules and monitoring solutions.
• Certify data assets and dashboards according to methodologies.
• Perform data manipulation and transformation tasks efficiently.
• Develop and optimize big data processing solutions.
• Implement automation for repetitive data engineering tasks.
• Interact with various database systems to extract, load, and transform data.

Conhecimentos

SQL

Python

Data wrangling

Optimization

Analytics/Data Engineer experience

Descrição da oferta de emprego

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:

• 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.
• 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.
• 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)