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Senior Python Data Analysis Jobs Near Me

Data Governance Senior Position Summary The Data Governance Senior is responsible for designing ... Python Strong analytical, communication, and stakeholder management skills Tools & Platforms AWS ...

... Python, Data Robot, and SAS. * Experience using BI Tools; preferably Tableau * Experience using SQL; preferably Postgres SQL and T-SQL * 3 years leading agile project delivery for analytical topics ...

Qnity Electronics is accepting applications for a full-time position as a Senior Data Scientist ... Python with the ability to prepare data for analysis, build models, and create descriptive plots ...

Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques. * Knowledge of data warehousing concepts and ETL processes.

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As of Sep 10, 2026, the average yearly pay for senior python data analysis in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

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A map of the United States highlighting the number of Senior Python Data Analysis job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Senior Python Data Analysis job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Governance Consultant Sr

Delaware, OH โ€ข On-site

Softtek
IT Servicesย โ€ขย 1 - 10 employees

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Data Governance Senior Position Summary The Data Governance Senior is responsible for designing, implementing, and continuously improving the organization's Data Governance framework to ensure enterprise data is trusted, secure, compliant, and aligned with business objectives. This role establishes governance policies, standards, processes, roles, and controls that promote data quality, consistency, stewardship, and regulatory compliance across the enterprise. Working closely with business stakeholders, data owners, data stewards, solution architects, security teams, and data engineering teams, the Data Governance Expert drives the adoption of governance best practices, defines data ownership and accountability, and ensures enterprise data assets are managed as strategic business resources.

Key Responsibilities Design, implement, and maintain the enterprise Data Governance framework. Define and standardize data governance policies, processes, standards, and operating procedures. Establish data ownership, stewardship, and accountability models across business domains.

Develop and enforce data quality standards, validation rules, and monitoring processes to improve the accuracy, completeness, consistency, and reliability of enterprise data. Define and manage enterprise data access policies, security classifications, and governance controls in collaboration with Information Security teams. Ensure compliance with organizational policies, regulatory requirements, and industry standards related to data privacy and protection.

Collaborate with Data Architects, Data Engineers, Business Analysts, and business stakeholders to embed governance throughout the data lifecycle. Support metadata management, business glossary, data catalog, and data lineage initiatives. Monitor governance metrics, perform governance assessments, and recommend continuous improvements.

Promote data governance awareness, training, and adoption across the organization. Required Skills Enterprise Data Governance Data Quality Management Data Stewardship Data Ownership and Accountability Metadata Management Data Catalog and Business Glossary Data Lineage Data Access Management and Security Data Privacy and Regulatory Compliance SQL Python Strong analytical, communication, and stakeholder management skills Tools & Platforms AWS Cloud Databricks Snowflake Technologies SQL Python Data Governance Data Quality Metadata Management Data Catalog Data Lineage Preferred Qualifications Experience implementing enterprise Data Governance programs in cloud-based data environments. Strong understanding of data governance frameworks, data lifecycle management, and master data management (MDM) principles.

Experience with cloud data platforms such as AWS, Databricks, and Snowflake. Knowledge of enterprise data security, access controls, and regulatory compliance requirements. Experience collaborating with cross-functional business and technical teams to establish governance standards and drive organizational adoption.

Ability to influence stakeholders and champion a data-driven culture built on trusted, high-quality data assets.