Data Analyst-H

Data Analyst
Summary
The Data Analyst will help transform the client s data platform and analytics foundation through the implementation of new data architecture, process, and standards. We are Looking for a data platform governance analyst to play a significant role in the implementation and operations of the of the client s implementation of their data governance and compliance frameworks. The role will focus on data as an asset (with a focus on ownership and compliance) while helping to identify and prioritize use cases for data, which will contribute towards the longer-term governance roadmap for the data platform. Key areas of focus, responsibility, and contribution will be Compliance Framework design and implementation, Data Platform Onboarding & Portfolio Governance, and Assurance of Auditability & Observability with a compliance lens.

Identifying and implementing the compliance framework will be key to success. The Data Analyst will need to ensure engagement from privacy, technology risk, audit, and a variety of data and analytics partners throughout the enterprises and function. They will support a central governance committee and data community who will be key customers and contributors to establishing the proper governance guardrails for data and self-serve analytics. Coordinating with enterprise and function data analytics teams, the Data Community and the Data Platform Engineering Team to ensure the team operationalize policy and ensure process and standard adherence. The Data Analyst will monitor and support the adoption of the Compliance Framework by internal and external project teams, as well as data stewards and owners. They will drive the quality and visibility of the data in the platform through adoption and use of tools including a data discovery platform.

The ideal candidate is an organized analyst, a polished communicator, passionate about balanced governance. and experienced in working cross-functionally and globally to solve problems with product and process changes. They thrive in an ambiguous, fast-paced and dynamic environment, and are excited to help the client deliver trusted data as efficiently as possible.
Responsibilities

• Collaborate with key business and stakeholders to develop, document, and maintain enforcement of Data Governance & Compliance Policy, Framework, and Standards.
• Contribute to a fit-for-purpose data governance model based on industry best practices including policies, roles, structure of the Data Governance Team and responsibilities of the data stewards within the program.
• Help the client establish common stewardship practices, policies, and metrics to manage data and analytics consistently across the enterprise.
• Support and implement scalable frameworks, standards, and data best practices while upholding integrity and privacy across the data ecosystem and lifecycle.
• Document and implement current workflows, data policies, standards, and procedures for both legacy and new data environments.
• Support the design and maintenance of metadata models.
• Work with teams to ensure the complete data lineage is captured and managed for the data.
• Perform data quality audits; identify data collection issues, suggest improvements, and help implement fixes.
• Support Data Governance Program adoption and effectiveness across the enterprise; aiding with program metrics and monitoring, program scoping and resource requirements, communication, collaboration, and ideation on improving program efforts.
• Work with the Data Analytics Community to understand and elicit business requirements and capture business needs for data use, analysis, and quality.
• Provide user training, education, and documentation to support adoption of consistent governance best practices.
• Partner with business units to assist with the adoption of an enterprise data catalog and the client s data model.
• Adhere to and comply with applicable federal and state laws, regulations, and guidance including those related to privacy (i.e., CDPR, CPRA, PIPL, etc.).
• Identify and report suspicious activity.
• Develop and provide significant business insights to help business leaders make better decisions.
• Partner with internal stakeholders and help execute a business technology strategy that improves compliance, meets requirements, and drives efficiencies through standardization and innovation.
• Demonstrate familiarity with business technology concepts, data management, and decision support.
• Extract, collect, cleanse, and prepare data for consumption.
• Drive reporting using available technology (Tableau, Power BI, Alteryx, SAP) and develop technical solutions for an effective, efficient data analytics platform.
• Respond to ad hoc data requests.
• Ensure timely and accurate data models that provide management information and analyze performance (key performance indicators, metrics).
• Identify and communicate trade compliance risks and impacts through analysis, providing transparency, interpretations and solutions to leaders.
• Develop, with colleagues, a detailed understanding of the business and offer mentorship or technical solutions to business problems.
• Handle issues while escalating only the most complex issues to appropriate staff.
• Perform other duties as assigned.

Requirements

• Bachelor's degree from an accredited college or university with a major in Information Technology, Computer Science, Data & Analytics, Business Administration, or related study.
• 4+ years of experience working with data.
• Experience implementing and/or working within a data governance committee and/or framework.
• Experience with data cataloging solutions including Alation, Collibra, Informatica.
• Experience writing governance policies and user documentation.
• Experience with Agile/Dev Ops methodologies and tools including Jira and Azure DevOps.
• Good stakeholder presentation skills.
• Knowledge of master data, metadata, reference data, data warehousing, and database structure, as well as business intelligence principles and processes including technical architecture.
• Knowledge of enterprise information management processes and methodologies.
• Proficient understanding of modern data architectures and concepts including Cloud Services (AWS, Azure, Google Cloud Platform), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks).
• Working knowledge of and experience working with SQL.
• Strong project management and organizational skills; the ability to work independently in a fast-paced, quickly changing environment.
• Ability to keep up with several projects at once and understand the impact of projects within a larger system.
• Ability to facilitate conversations across diverse groups effectively.
• Strong written and oral communication skills.
• Strong customer service skills.

Preferred

• Prior experience in Data Risk Management.
• Prior experience in Data Classification.
• Prior experience in Data Security & Privacy Controls Design.
• Prior experience in Information Retention & Disposal and/or Records Management Policies & Processes.