Data analyst

Data analyst
Resume examples

Resume Examples Objectives and summaries
Data analyst
Data analyst
Resume examples
Resume Examples Objectives and summaries

Data engineer

Experienced

Wrote the most complex ETL (Extract / Transform / Load) processes, designs database systems, and developed tools for real-time and offline analytic processing. Troubleshoot software and processes for data consistency and integrity. Led the integration of highly complex and large-scale data from a variety of sources for business partners to generate insight and make decisions.

  • Translated business specifications into design specifications and code.
  • Established analytical rigor and methods for writing complex programs, ad hoc queries, and reports; ensured all code is structured and documented and is easy to maintain and reuse.
  • Partnered with internal clients and leaders to gain an expert understanding of highly strategic, high-risk business functions and informational needs.
  • Worked closely with technical and data analytics experts across the business to implement data solutions.
  • Acted as the highest point of escalation for data analysis and served as a technical consultant for the client.
  • Created an analytics-driven environment by gathering requirements, assessing gaps, and building roadmaps and architectures.
  • Educated and developed junior data engineers on the team while applying quality control to their work and increasing their knowledge in specialized Data Engineering techniques and processes.
  • Tested and implemented highly complex new software releases through regression testing. Identified issues and engaged with vendors to resolve and elevate software into production.
  • Turned raw data into usable data pipelines and built data tools and products for effort automation and easy data accessibility.
  • Diagnosed the existing architecture, data maturity, and identify gaps.
  • Built data assets that enhance the quality of overall data structures by implementing the data science program.
  • Identified gaps and implement solutions for data security, quality, and automation of processes.

Useful example? Yes 1
Copy to clipboard 1