Data Engineering
Manila
JOB NO. 14009
Job Description
Gather, engineer and prepare data for stakeholders to enable smarter decision making. Use a broad set of data curation and analytical tools and techniques to enable development of quantitative and qualitative business insights.
Work with partners as necessary, integrate systems and data quickly and effectively, regardless of technical challenges or business environments.
Lead a team data engineers and data scientists that provide ongoing analytical support to the CS Office
Provide insights into CS and Value 360 performance and identify additional reporting and analytical needs / areas for improvement.
Support target setting for key advocacy objectives (i.e. improvements in NPS, Customer Effort, etc) at the account/MMU/CG/Practice and global levels.
Define, maintain and monitor account / MU / CG / Practice and global reporting, and day to day data on client experience
Educate account / MU / CG / Practice and global leadership on metric definitions and identify behaviors that correlate with metric improvements
Assist in quantifying economic value-at-stake for client experience and value improvements
Identify opportunities for additional listening posts based on data and experience gaps found
Audit the quality of data and metrics gathered and aggregated into reports; identify inconsistencies and where data cleansing is needed
Design and maintain CS knowledge database (i.e. CS Hub)
Interface with CS Office and cross functional teams (i.e. Value 360, PA, Q&R, HR, CIO) to validate insights and trends from multiple sources and integrate raw data across systems
Design data architecture and integration into IDRA1 & other Accenture systems
Coordinate with cross functional teams to: Define reporting and analytics enhance
Work with partners as necessary, integrate systems and data quickly and effectively, regardless of technical challenges or business environments.
Lead a team data engineers and data scientists that provide ongoing analytical support to the CS Office
Provide insights into CS and Value 360 performance and identify additional reporting and analytical needs / areas for improvement.
Support target setting for key advocacy objectives (i.e. improvements in NPS, Customer Effort, etc) at the account/MMU/CG/Practice and global levels.
Define, maintain and monitor account / MU / CG / Practice and global reporting, and day to day data on client experience
Educate account / MU / CG / Practice and global leadership on metric definitions and identify behaviors that correlate with metric improvements
Assist in quantifying economic value-at-stake for client experience and value improvements
Identify opportunities for additional listening posts based on data and experience gaps found
Audit the quality of data and metrics gathered and aggregated into reports; identify inconsistencies and where data cleansing is needed
Design and maintain CS knowledge database (i.e. CS Hub)
Interface with CS Office and cross functional teams (i.e. Value 360, PA, Q&R, HR, CIO) to validate insights and trends from multiple sources and integrate raw data across systems
Design data architecture and integration into IDRA1 & other Accenture systems
Coordinate with cross functional teams to: Define reporting and analytics enhance
Qualifications
Graduate of bachelor’s degree.
Expert in BI Strategy, Data Governance, Machine Learning, Artificial Intelligence and Statistical Programming
Solid organizational skills that enable prioritization, planning, execution, and supervision
Solid managerial skills to prioritize and manage work of Insights team
Strong people skills to build solid relationships with CS Office and leadership roles
Strong strategic thinking and design skills to identify reporting and analytics needs
Strong analytical skills to understand and validate data and information gathered from multiple sources
Ability to develop statistics based on data received and interpretation of insights to inform improvements
Ability to conduct correlation research and report correlations between NPS and operational metrics
Ability to run sensitivity analyses between NPS and operational metrics to inform predictive analytics engine
Demonstrate flexibility with the ability to adjust quickly to changing environments
Familiar with reporting and analytics applications
Familiar with data architecture (e.g., GMC, Board of Directors and Exec consumption)
Work Arrangement: Permanent WFH
Work Location: Boni, Mandaluyong City.
Work Schedule: Dayshift
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
COVID-19 update: The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually.
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