Lead Data Governance Analyst
Posted on 4/2/2024
Dow Jones

5,001-10,000 employees

Global news and data intelligence provider.
Company Overview
Dow Jones distinguishes itself through its comprehensive collection of global news and data, which is made readily accessible to its users via a robust research platform, mobile solutions, and seamless integration with advanced feeds and APIs. Their commitment to technology is evident in their provision of industry-leading data intelligence tools for critical areas such as anti-money laundering, anti-corruption, and economic sanctions, which are essential for risk and compliance solutions. The company's offerings, including Factiva & Curation Services and Dow Jones Newswires, demonstrate a focus on delivering timely, accurate information, positioning Dow Jones as a key resource for professionals who require reliable financial and business insights.
Data & Analytics

Company Stage

N/A

Total Funding

N/A

Founded

1881

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

2%

1 year growth

4%

2 year growth

21%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Management
SQL
CategoriesNew
Operations & Logistics
Inventory Management
Quality Control & Compliance
Supply Chain Management
Requirements
  • At least 4 years’ data management and/or data governance experience
  • Experience identifying and prioritizing governance needs to better serve customers
  • Formulated complex workflow processes and relationship mapping across diverse datasets
  • Business intelligence reporting and dashboard development experience
  • Advanced SQL proficiency and conceptual knowledge of relational databases
  • Google Suite, Power BI, and Excel Proficiency
  • Familiarity with Data Management International (www.DAMA.org) body of knowledge
  • Experience developing and coaching junior colleagues
  • Experience with Semarchy and Collibra Data Intelligence Cloud platforms (preferred)
  • Bachelor’s degree in Computer Science, Information Systems or related discipline (preferred)
Responsibilities
  • Discover, create and innovate new opportunities for data governance within the organization
  • Leverage & develop existing taxonomies to improve data interoperability between lines of business
  • Perform Semarchy frontend work and lead Reference & Master Data efforts to support our lines of business
  • Perform internal assessments to ensure compliance to policies & standards for security, privacy, encryption, and others
  • Apply proven analytical and problem-solving skills to research technical lineage (ETL code) within applications to create a cohesive view of data transformations from source-to-target
  • Recommend and create policies, processes, and best practices at the divisional level to ensure data quality, data governance, data lineage, data architecture, reference data, metadata and master data management program success
  • Lead integration efforts to improve process and technology supporting data quality teams