Data Science Senior Consultant (Night shift)
Makati, Philippines
Applications have closed
dentsu international
At dentsu, innovation is our strength, and your growth is our mission. We help you keep up with technological changes in the digital economy.Company Description
We Dream. We Do. We Deliver.
We are a leading data-driven & technology-enabled full-service agency that specializes in the delivery of unique, personalized customer experiences across various platforms and devices. We partner with the Top 500 companies in the DACH region as well as in Eastern Europe and focus on customer experience transformation & CXM.
Our 1800 digital enthusiasts are innovating the way brands are built, through providing expertise in Digital Transformation strategy, MarTech platforms, Creativity, UX, CRM, Data, Commerce, Mobile, Social Media, Intranet and CMS. We are part of the global Merkle brand, the largest brand within the dentsu group, who shares with us a network of over 66,000 passionate individuals in 147 countries.
Job Description
The resource will be responsible for developing solutions for our clients to further position Merkle | Cardinal Path as a leading data, analytics, and insight service provider. We are searching for candidates that have experience building business intelligence dashboards, working with cloud hosted analytic databases, and conducting data analysis using SQL or Python.
An ideal candidate will have proven expertise in SQL alongside experience in databases such as BigQuery or Redshift. Experience with BI platforms such as Tableau, Power BI, Datorama, or DOMO is essential. Knowledge in Python is also required, as well as experience in data ETL and working with product APIs. Experience in DBT or Alation is not required but is a bonus, as the immediate project work will include supporting adoption of Google Cloud Dataform and Google Cloud Data Catalog which are similar.
The work will require familiarity with media analytics data sources such as Campaign Manager 360, Display & Video 360, Google Analytics, Adobe Analytics, Google Ads, Adobe Audience Manager, Facebook Ads, and more. An existing background in these types of tools is extremely beneficial but not strictly required depending on other experiences.
Responsibilities Include:
- Provide project level of effort estimates involving data integration, data architecture, business analysis or application development
- Produce solution architecture and design documentation oriented towards meeting client needs
- Translate stakeholder business needs into detailed business/functional requirements documentation
- Support and improve upon ongoing standards and process for overall data architecture team, including developing governance, support and testing models
- Create datasets, extracts, or views of data that will be consumed by teams of analysts and data scientists to support data mining, analytics, reporting, and dashboards
- Perform exploratory data validation with analysts to ensure quality data standards are in place and ensure data integrity during all transformation steps
Qualifications
- Experience with cloud hosted analytic warehouses such as BigQuery, Azure SQL DB, Amazon Redshift
- Knowledge of ETL tools and processes and how they can be applied to a cloud environment such as GCP, AWS, Azure
- Advanced skills in SQL and Python
- Familiarity with analyzing digital marketing, advertising and ecommerce data
- Experience with building visualizations in BI tools such as Tableau or Power BI
- Self-motivated and ability to work independently in meeting deadlines
- Exceptional written and verbal communication skills and is comfortable working with remote teams
#LI-hybrid
Additional Information
All your information will be kept confidential according to EEO guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure BigQuery Business Intelligence CX Data analysis Data Mining dbt E-commerce ETL GCP Google Cloud Power BI Python Redshift SQL Tableau Testing UX
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