DE033991-Analytics and Modeling Analyst

Accenture in the Philippines

Taguig

Hybrid

PHP 480,000 - 640,000

Full time

9 hours ago
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Job summary

Accenture in the Philippines is seeking an Analytics and Modeling Analyst to manage the data solution lifecycle, ensuring data quality through profiling, monitoring rules, and asset certification. Hybrid work setup in Taguig.

The role emphasizes data manipulation, big data processing, and automation using SQL, Python, and related tech. Fresh graduates or those with 1–2 years of experience are welcome to apply.

Qualifications

  • Open to fresh graduates with ComSci/IT/Math/Stat-related courses.
  • For candidates with 1-2 years of relevant experience should be open to all courses.
  • Strong SQL and Python skills required.
  • Excellent data wrangling abilities.
  • Optimization skills to write efficient code.

Responsibilities

  • Develop and test code for data pipelines and applications.
  • Create and maintain test documentation.
  • Support user testing, troubleshoot issues, and implement fixes.
  • Deploy code to production and provide post-deployment support.
  • Profile data and generate reports to understand data characteristics and identify potential issues.
  • Define data quality monitoring rules with stakeholders and ensure alignment.
  • Design, implement, and maintain 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 methodologies.
  • Interact with various database systems to extract, load, and transform data.

Skills

SQL
Python
Data wrangling
Code optimization

Education

ComSci/IT/Math/Stat-related courses

Job description

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 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
SKILLS AND QUALIFICATIONS
  • Open to fresh graduates with ComSci/IT/Math/Stat-related courses
  • For candidates with 1-2 years of relevant experience should be open to all courses
  • 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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