Data Analyst Lv-3

TechDigital Group; Wayzata (MN); Hybrid; USD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a Data Platform Governance Analyst to enhance their data governance and compliance frameworks. In this dynamic role, you will collaborate with diverse teams to implement compliance policies, ensure data quality, and drive the adoption of best practices across the organization. Your expertise in data governance will be pivotal in shaping the data landscape, allowing the company to leverage data as a valuable asset. If you thrive in fast-paced environments and are passionate about data integrity and governance, this opportunity is perfect for you. Join a forward-thinking organization that values innovation and collaboration, and make a significant impact on their data initiatives.

Qualifications

• 4+ years of experience in data governance and compliance.
• Bachelor's degree in IT, Computer Science, or related field required.

Responsibilities

• Develop and enforce data governance and compliance policies.
• Collaborate with teams to ensure adherence to data standards.
• Monitor data quality and support compliance framework adoption.

Skills

Data Governance

Compliance Frameworks

Data Quality Audits

Stakeholder Presentation Skills

Project Management

SQL

Data Management

Communication Skills

Education

Bachelor's degree in Information Technology

Tools

Alation

Collibra

Informatica

Jira

Azure Dev Ops

Tableau

Power BI

Alteryx

SAP

Job description

Monday through Friday - 8:00-5:00 PM CST - Hybrid Schedule 2-3 days in the office.

Cargill's Data Function is transforming their 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 Cargill's 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 & 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 and Portfolio Governance, and Assurance of Auditability and Observability with a compliance lens.

Governance Implementation

Identifying and implementing the compliance framework will be key to your success. You will need to ensure engagement from privacy, technology risk, audit and a variety of data and analytics partners throughout the enterprises and function. You will support a central governance committee and data community who will be key customers and contributors toward establishing the proper governance guardrails for data and self-serve analytics.

Ongoing Operations

Coordinating with enterprise and function data analytics teams, the data community, and the data platform engineering team to ensure operationalizing policy and ensuring process and standard adherence. You will monitor and support the adoption of the compliance framework by internal and external project teams, as well as data stewards and owners. You will drive the quality and visibility of the data in the platform through adoption and use of tools such as 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 Cargill deliver trusted data as efficiently as possible.

Duties & Responsibilities:

1. Collaborate with key business and DT&D stakeholders to develop, document, maintain enforcement of data governance and compliance policy, framework, and standards.
2. Contribute to a fit for purpose data governance model based on industry best practices to include policies, roles, structure of the Data Governance team and responsibilities of Data Stewards within the program.
3. Help Cargill establish common stewardship practices, policies, and metrics to manage data and analytics consistently across the enterprise.
4. Support and implement scalable frameworks, standards and data best practices while upholding integrity and privacy across our data ecosystem and lifecycle.
5. Document and implement current workflows, data policies, standards, and procedures for both legacy and new data environments.
6. Support the design and maintenance of metadata models.
7. Work with teams to ensure complete data lineage is captured and managed for our data.
8. Perform data quality audits, identify data collection issues, suggest improvements, and help implement fixes.
9. 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.
10. Work with Data Analytics community to understand and elicit business requirements and capture business needs for data use, analysis, and quality.
11. Provide user training, education, and documentation to support adoption of consistent governance best practices.
12. Partner with business units to assist with the adoption of an enterprise data catalog and Cargill Data Model.
13. Adhere to and comply with applicable, federal and state laws, regulations and guidance, including those related to privacy (i.e. CDPR, CPRA, PIPL, etc).
14. Adhere to Cargill policies and procedures and complete required training.
15. Identify and report suspicious activity.
16. Other duties as assigned.

Education:

Bachelor's degree from an accredited college or university with a major in information technology, computer science, data and analytics, business administration or related study.

Experience:

1. 4+ years of experience in data.
2. Experience in implementing and/or working within a Data Governance committee and/or framework.
3. Experience with data cataloging solutions such as Alation, Collibra, Informatica, etc.
4. Experience in writing governance policies and user documentation.
5. Prior experience in Data Risk Management is a plus.
6. Prior experience in Data Classification is a plus.
7. Prior experience in Data Security and Privacy controls design is a plus.
8. Prior experience in Information Retention and Disposal and/or Records Management policies and processes is a plus.
9. Experience with Agile/Dev Ops methodologies and tools such as Jira and Azure Dev Ops.

Knowledge, Skills And Abilities:

1. Good stakeholder presentation skills.
2. Knowledge of master data, metadata, reference data, data warehousing, database structure, and business intelligence principles and processes, including technical architecture.
3. Knowledge of enterprise information management processes and methodologies.
4. Proficiency in understanding modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks).
5. Working SQL knowledge and experience.
6. Strong project management and organizational skills and 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.
7. Ability to effectively facilitate conversations across diverse groups.
8. Strong written and oral communication skills.
9. Strong customer service skills.

The Data Analyst 3 will develop and provide significant business insights to help business leaders make better decisions. You will partner with internal stakeholders and help execute a business technology strategy that improves compliance, meets requirements and drives efficiencies through standardization and innovation. In this position, you'll demonstrate familiarity with business technology concepts, data management and decision support. Data extraction, collection, cleansing and preparation for consumption. Drive reporting through the use of 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, detailed understanding of the business, and offer mentorship or technical solutions to seek business problems. Handle issues, while escalating only the most complex issues to appropriate staff.

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