The Senior Data Analyst is a fully-participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data & Analytics space
Job Responsibilities
Assist in the collection of data dictionaries and creation of business glossaries
Maintain core data repositories as data sources and interfaces change over time
Understand and maintain data models and data interfaces for the analytical environment to understand aviaalbility of data for the required business reports
Conduct simple data gap analysis and data profiling to analyze availability and quality of incoming data and advise on any data cleansing rules, or issue resolution options in case of incidents (including analysis of potential data quality issues)
Incorporate business transformation rules into solution designs or mapping documents to ensure solutions provide timely business value
Document proposed or modified data interfaces, including fit for data models, data flow timing, source-to-target mapping, uniqueness criteria and data transformation rules including data validations and controls
Job Requirements
Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering
Specialization or electives in a Data & Analytics field (e
g
Data Warehousing, Data Science, Business Intelligence) a nice-to-have 2+ yrs in Data Analysis experience (Fewer years? experience will be considered for Masters degree holders)Minimum 2+ years conducting data analysis tasks (e
g
source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping)Proven track record developing and maintaining data documentation artifacts in organizations of similar size and complexity within project deadlines