Description

Job Description:

  • The Data Analyst will be a key part of the Enterprise Data Services team, which is responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders.
  • Specifically, this role will support a multi-year project to migrate legacy data jobs and reports owned by business areas across the company to cloud-based technology solutions and modern data tools.
  • You will collaborate with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business teams.
  • You will analyze, classify, migrate or redesign data jobs/reports into modern data tools, using Agile methodology, that empower users to make informed business decisions.
  • Progress will be documented and validated against current report outputs.
  • You are self-motivated, work independently, and have direct experience with data tools, data analysis, data engineering, data consulting, etc.
  • You have a deep understanding of the full life data lifecycle and the role that high-quality data plays across applications, business analytics, and reporting.
  • Strong candidates will exhibit solid critical thinking skills, the ability to resolve technical problems, and a talent for transforming data to create solutions that add value to business requirements.

Responsibilities:

  • Bachelor of Science degree in Computer Science or equivalent
  • At least 5+ years of post-degree professional experience
  •  Required experience in SQL and other querying languages to convert into modern data tools or jobs
  •  Strongly preferred experience in data analysis to create, publish, and/or manage reports and data visualizations in Tableau, PowerBI, AWS Quicksight, or AWS DataZone (i.e., our target solutions)
  •  Highly desirable experience implementing performance tuning in Tableau dashboards
  • Highly desirable experience working with TOAD data tool
  • Demonstrated experience building and preparing data for analytics
  • Strong Knowledge with database technologies and data development such as Python, PLSQL, etc. 
  • Understanding how to build and modify data queries/applications, including performance tuning, utilizing indexes, and materialized views to improve query performance
  •  Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g. data latency, frequency, etc.)
  • Basic understanding of performing test cases for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define a path to deployment
  • Comprehension of best practices for data ingestion and data design

Nice to Have:

  • Any cloud experience on AWS, Azure, and snowflake with any relevant certifications

About the practice/ Project:

  • · Agile - Product Owner


 

Education

Any Graduate