FedEx | Analytics Engineer

2 weeks ago

bangalore, India FedEx Full time

As an Analytics Engineer at FedEx, you will be a key contributor to our data team, focusing on transforming raw data into clean, accurate, and reusable datasets. This role requires a combination of technical expertise and business acumen to seamlessly integrate data into our analytics workflow, facilitating data-driven decision-making throughout the organization. At FedEx, Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.


Responsibilities:

  • Create and maintain high-quality datasets that meet the analytical needs of stakeholders and end-users.
  • closely with stakeholders to understand their needs and translate them into actionable requirements for data products.
  • Utilize data modeling techniques, including DBT, SQL, Parquet, and Delta, to structure data for efficient analysis.
  • Apply various transformations to ensure data accuracy, including removing inaccuracies or corrupted data and aggregating data items.
  • Maintain comprehensive data documentation to ensure a common understanding of data definitions and language across the team.
  • Apply DataOps methodologies, including version control, data unit testing, and continuous integration.
  • Effectively communicate complex technical concepts to non-technical stakeholders and collaborate closely to understand evolving business requirements.
  • Collaborate with stakeholders and cross-functional teams to identify business opportunities and enhance strategies with automated data solutions.
  • Partner closely with other engineers and analysts to improve foundational data models and accelerate the productization of data insights.


Qualifications:

  • Bachelor's degree with a strong analytical component, including programming, or equivalent experience and skills. (master's degree preferred)
  • 5 + of experience as a data analyst and/or data engineer.
  • 3 + years of relevant experience in building data products powered by big data.
  • Proven track record of designing and developing scalable analytic tools and systems.
  • High proficiency in the standard tech stack (e.g., Python, SQL, Spark) and common data visualization tools (e.g., Power BI, Tableau).
  • Very strong SQL and Dimension modelling experience
  • Experience with version control using git and working in a shared codebase.
  • Familiarity with the fundamentals of Machine Learning and Statistical Inference, as well as data engineering best practices.
  • Exceptional communication and collaboration skills coupled with strong business acumen.

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