Sr. Technical Business Analyst - Data Management

Typical Day in Role:

•Experience working in data management and can provide hands-on support on the implementation according to Data Office playbooks, guidelines, standards, and policies (e.g., documenting initiatives, use cases, data tiering and classification, critical data elements and business data elements)

•Performs any necessary data mapping and data lineage activities and documents information flows to support specific business requirements

•Performs data profiling, analyzes and communicates results in support of data quality processes

•Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems

•Participates in knowledge transfer within the team, business units and provide recommendation opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team

•Monitors project progress by tracking activity, resolving problems, publishing progress reports and recommending actions.

•Work in an Agile mindset to accelerate the delivery of the project

•Prepares technical reports by collecting, analyzing, and summarizing information and trends

•Assesses, researches, analyzes, and documents project needs and outcomes by selecting the appropriate information gathering and/or modelling technique to elicit requirements

Candidate Requirements/Must Have Skills:

1) 7-10 years’ experience with data analysis (metadata, data lineage mapping, data quality, data modeling, data governance)

2) Experience in Business Requirements Gathering a

3) 10+ years’ experience of technical business analysis processes, frameworks with documenting processes and data flows, CDE identification and registration

4) Experience in agile project methodology and artifacts, on software/application development lifecycle in an agile fashion

Nice-To-Have Skills:

1) Knowledge of programming language such as Python

2) Project Management experience

3) Familiarity with Data management tools such as Collibra

4) Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services)