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Title
Text copied to clipboard!Senior Data Advisor
Description
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We are looking for a Senior Data Advisor to join our team and lead our data strategy and analytics efforts. In this role, you will be responsible for guiding our data initiatives, ensuring data integrity, and leveraging data to drive business decisions. You will work closely with cross-functional teams to understand their data needs and provide insights that will help shape our business strategies. The ideal candidate will have a strong background in data analysis, data management, and data governance, with a proven track record of using data to drive business outcomes. You will be expected to stay current with industry trends and best practices, and to continuously seek out new ways to improve our data capabilities. This is a senior-level position that requires excellent communication skills, a strategic mindset, and the ability to influence and lead others. If you are passionate about data and have a desire to make a significant impact on our business, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Develop and implement data strategies that align with business goals.
- Ensure data integrity and accuracy across all data sources.
- Lead data governance initiatives to ensure compliance with regulations.
- Collaborate with cross-functional teams to understand their data needs.
- Provide data-driven insights to support business decision-making.
- Stay current with industry trends and best practices in data management.
- Identify opportunities to improve data processes and systems.
- Mentor and guide junior data team members.
- Develop and maintain data documentation and standards.
- Manage data projects from inception to completion.
- Communicate data findings and recommendations to senior leadership.
- Ensure data security and privacy protocols are in place.
- Analyze large datasets to identify trends and patterns.
- Work with IT to ensure data infrastructure supports business needs.
- Develop and maintain data dashboards and reporting tools.
- Conduct data quality assessments and audits.
- Support the development of data literacy across the organization.
- Evaluate and implement new data tools and technologies.
- Collaborate with external partners on data initiatives.
- Provide training and support to end-users on data tools and processes.
Requirements
Text copied to clipboard!- Bachelor's degree in Data Science, Computer Science, or related field.
- 10+ years of experience in data analysis, data management, or related roles.
- Strong understanding of data governance and data quality principles.
- Proven track record of using data to drive business decisions.
- Experience with data visualization tools such as Tableau or Power BI.
- Proficiency in SQL and other data querying languages.
- Excellent communication and presentation skills.
- Ability to work collaboratively with cross-functional teams.
- Strong problem-solving and analytical skills.
- Experience with data warehousing and ETL processes.
- Knowledge of data privacy regulations such as GDPR and CCPA.
- Ability to manage multiple projects and priorities simultaneously.
- Experience with cloud-based data platforms such as AWS or Azure.
- Strong leadership and mentoring skills.
- Ability to stay current with industry trends and best practices.
- Experience with statistical analysis and predictive modeling.
- Strong attention to detail and accuracy.
- Ability to influence and lead others.
- Experience with big data technologies such as Hadoop or Spark.
- Strong project management skills.
Potential interview questions
Text copied to clipboard!- Can you describe a time when you used data to drive a significant business decision?
- How do you ensure data integrity and accuracy in your work?
- What is your experience with data governance and compliance?
- How do you stay current with industry trends and best practices in data management?
- Can you provide an example of a data project you managed from start to finish?
- How do you approach mentoring and guiding junior team members?
- What tools and technologies do you prefer for data visualization and why?
- How do you handle conflicting data needs from different departments?
- Can you describe a time when you identified and implemented a data process improvement?
- How do you ensure data security and privacy in your work?
- What is your experience with cloud-based data platforms?
- How do you communicate complex data findings to non-technical stakeholders?
- Can you provide an example of a successful data-driven strategy you developed?
- How do you approach data quality assessments and audits?
- What is your experience with big data technologies?
- How do you manage multiple data projects and priorities simultaneously?
- Can you describe a time when you collaborated with external partners on a data initiative?
- What is your experience with statistical analysis and predictive modeling?
- How do you support the development of data literacy across an organization?
- What is your approach to evaluating and implementing new data tools and technologies?
