Senior Data Engineer – FinLab – Ho Chi Minh City Based – McKinsey & Company

Website McKinsey & Company

Qualifications

  • University degree with an excellent academic record; advanced degree preferred
  • Proficiency with BI tools such as Power BI or Tableau
  • Conceptual knowledge of data and analytics such as dimensional modeling, ETL, data governance, data warehousing, structured and unstructured data
  • Proficiency with SQL and Python
  • Ability to communicate effectively – both verbally and in writing

What You’ll Do
You will work with client teams to build industry-specific data models and dashboards that provide insights and tell stories for clients to make better decisions with data.
In this role, you will work with a team of McKinsey and client software engineers to deliver the analytics-driven insights through a user-friendly interface such as a web-based application or a business intelligence tool (Power BI). You will work with the client IT team as they set up the necessary infrastructure and processes to support predictive analytics (ETL from the ERP system to the data warehouse/lake). You will work with McKinsey client teams on analytics methodologies and approaches to address client-specific needs including discussing data collection, architecture, associated costs and trade-offs, and recommendations.
You’ll also own a descriptive analytics workstream, and manage respective tasks and client project team members/experts while building client relationships. Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges daily while continuously building your methodological knowledge and skills. You will also keep abreast on the latest technologies and analytics approaches, attending conferences or other events as needed.
Who You’ll Work With
You will be based in our Ho Chi Minh City office and work remotely with our team in Waltham, Atlanta or Chicago office as part of our FinLab team.
FinLab’s work encompasses overall strategies for forward-thinking clients across financial services, real estate, private equity-owned businesses, and other client segments. The data models and dashboards you will build will power organizational change, improve, business performance and efficiency and develop client tech capabilities.

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