Associate Data Analyst

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