Typical Day in Role:
Job Responsibilities:
• 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:
• 8+ years of experience working on business analysis processes, frameworks with documenting processes and data flows
• 5+ Years of experience working with SQL.
• 3+ years of experience working with data concepts (metadata, data mapping, data quality, data modeling, data governance)
• 3+ years of experience working with agile project methodology
• 2+ years of experience working with data models, data relationships, mapping lineage and business rules.
• Familiar with Data Management Tool such as Colibra or Talend or any other.
Nice-To-Have Skills:
• Knowledge on Python
• Working knowledge of data flows within a large enterprise.
• Understanding of Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services)
Soft Skills Required:
• Demonstrated ability to be flexible/adaptable in exercising judgment in a changing environment and to manage competing priorities.
• Proven ability to learn business processes quickly and work well with business partners at different organizational levels.
• Exceptional leadership skills to review processes and procedures to create efficiencies, eliminate duplication and provide organizational support to achieve business objectives.
• Strong relationship management with an ability to establish productive relationships between various leaders, departments, and partners across the organization.
• Solutions-oriented and ability to develop and create innovative solutions to critical business or organizational data issues
• Strong analytical skills with amplitude for generating insights through an evidence-based thought process
• Sound judgment, learning agility, and a high level of professional and personal integrity
• Excellent communication (written and verbal) and interpersonal skills
Education:
Strong technical education background, majoring in fields that require a high degree of analytical skills, such as Engineering, Computer Science, Physics, Math, Statistics or related field