Data Analytics Hub Manager

hace 2 semanas


San Francisco, Heredia, Costa Rica Experian A tiempo completo
Full-time

Employee Status:
Regular

Role Type:
Hybrid

Department:
Legal & Compliance

Schedule:
Full Time

Shift:
Day Shift

Company Description:

About us, but we'll be brief


Experian is the world's leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society.

We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for.

In addition, for the last five years we've been listed as one of the 100 "World's Most Innovative Companies" by Forbes Magazine.


Reporting directly to the GIA Global Senior Data Analytics Manager, the GIA Data Analytics Hub Manager, plays a key role in enabling GIA Data Analysts and Audit Teams to increase delivery efficiency of Data Analytics Audit testing through the provision of curated data sets and self-serve dashboards.

The GIA Data Analytics Hub Manager is accountable for all GIA Data Hub activities. This includes the planning and delivery of data integrations and dashboard products.

Will consult widely across key GIA stakeholders to identify and prioritize Data Analytics Hub deliveries that will provide greatest value and efficiency to GIA.


Will integrate data from key systems across the Experian estate into the GIA Data Analytics environment and develop scheduled data preparation routines to transform raw data inputs into curated, analytically ready, data sets.

The GIA Data Analytics Hub Manager will also plan and oversee delivery for parameter driven Tableau dashboards, to support a wide range of self-serve audit planning and fieldwork activities.

Provide day to day mentoring and guidance to GIA Senior Data Analysts supporting the Data Analytics Hub.

Responsibilities

  • Responsible for collaborating closely with colleagues from across Global Internal Audit to plan and deliver data integrations and parameter driven, selfserve dashboards.
  • Responsible for collaborating closely with Data Owners to optimize the integration method for each data source.
  • Responsible for integrating and operationalizing new data sources into the GIA Data Analytics environment from across the Experian estate.
  • Responsible for running data input quality checks that ensure completeness and accuracy; raising issues to improve source data quality, as required.
  • Responsible for developing scheduled data preparation routines to transform raw data inputs into integrated data into curated data files, ready for data analysis. Curation will typically require time stamping each row of data to ensure record values can be understood for any given point in time.
  • Responsible for planning and developing selfserve Tableau dashboards based on integrated data inputs, to deliver efficiency to a broad range of Audit planning and testing use cases.
  • Responsible for managing the GIA Tableau Server curation process, ensuring the quality and appropriateness of all dashboards and data published on the GIA Tableau Server.
  • Responsible for adhering to GIA data retention guidelines.
  • Responsible for clearly documenting data integration processes, and training others, to ensure no single point of failure.
  • Responsible for developing and maintaining an organized data analytics library for reference across GIA. Including field and value definitions, details of data limitations, etc. Source data systems will not always be well documented, and in these cases, information will need to be gained through consultation, walkthroughs, research, and testing.
  • Responsible for transferring knowledge to Data Analysts and wider Internal Audit team in relation to curated data and production dashboards.
  • Responsible for continuous improvement of data curation and dashboard functionality, through proactive approach to building deeper knowledge of data sources and relationships.
  • Responsible for the daytoday management, mentoring and development of GIA Data Hub Senior Data Analysts.

Qualifications:

  • 710 years of work experience in Data Analytics, BI or similar roles.
  • Proven experience with at least one BI / visualization tool (e.g. Tableau, Power BI)
  • Proven experience with at least one data analytics tool (e.g. Alteryx, SAS, Python)
  • Proven experience of leading analytical deliveries
  • Highly proficient with Microsoft Excel
  • Strong communication skills
  • Ability to work independently and proactively
  • Problem solver who proposes innovative solutions
  • Collaborative and consultative in approach with colleagues
  • Proven ability to manage and prioritise workloads of multiple stakeholders
  • Strong analytical skills with the ability to collect, organise, analyse, large data sets and disseminate significant amounts of information with high attention to detail and accuracy
  • Adept at queries, report writing, and presenting findings

Advantageous Abilities

  • Internal Audit or Risk Management experience
  • Cloud computing experience (e.g. AWS)

Additional Information:

Benefits:

O
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