Data Steward

Cognism is a market leader in international sales intelligence. Access to our premium data, has helped a wide variety of global revenue teams change their approach to prospecting, resulting in predictable and prosperous outcomes.

As we grow, one of our main objectives is to continue hiring individuals, who are both a professional and cultural fit for our Company. Our values are at the core of everything we do

**Our people;**
- Are Nice
- Are Collaborative. We're in this together
- Are Solution-Focused. For every problem, we've got a solution
- Are Understanding.
- Celebrate Individual Contributors.

We are committed to creating a diverse and inclusive global workplace, which encourages you to achieve any goals you may have, while having fun along the way

**The** Role**:
We are looking for a Technical Data Steward for Firmographics data to join the team

**Responsibilities**:

- Data governance
- Maintaining data quality.
- Creating and maintaining data standards.
- Creating / editing requirements, data dictionaries, process maps and data mapping
- Coordinate the work of Data Researchers, Data Scientists and Data Analysts and drive them to the same project goal.
- Ensure changes are documented and processed in a timely fashion.
- Work closely with data Product Managers by understanding and translating their requirements into project objectives and execution plans.
- Monitor and assess organizational data for value, potential and risk.
- Drive continuous improvement efforts, monitor ongoing results, define process areas for reviews, and conduct benchmarking activities to ensure best in class results for data management best practices
- Define, administer, document and educate standards and work processes
- Maintain service level agreements between teams
- Enhance work process designs and make recommendations for improvement

**Requirements**:

- 5+ years of experience in data management or data analysis
- 2+ years of experience in project management in data-oriented projects
- Technical skills in data analysis and data science are welcome but not necessary; what is necessary is being able to request and interpret analytical reports on big data and being able to commission and understand the value of data science work
- Hands-on experience with basic documentation and data tools such as Confluence, Excel, etc.
- Strong skills in project management, preferably in data-related projects.
- Excellent communication skills, with the ability to present technical information to non-technical stakeholders.
- Proactive and self-motivated, able to work independently and collaboratively in a team environment.
- Ability to delegate work to diverse teams of experts such as data researchers, data analysts and data scientists.
- Understanding of company-related data, company hierarchies, ownership structures, financial records, departments, industries, etc.
- Insights into how Sales and RevOps are using company-related data for segmenting markets, tracking prospects and leads, etc.

We look forward to hearing from you