Data Specialist (Domo Platform)

Join our innovative team as a Data Specialist with expertise in the Domo Platform. In this role, you will be a crucial part of our data management strategy, responsible for leveraging the Domo analytics platform to transform raw data into valuable insights that drive business decisions. You will work closely with stakeholders across the organization to ensure data integrity and availability while delivering impactful visualizations and dashboards.

Responsibilities:

• Domo Management: Manage and optimize the Domo platform, ensuring best practices in data integration and visualization.
• Data Analytics: Analyze data from various sources, identifying trends and creating reports to support strategic initiatives.
• Dashboard Development: Design and implement user-friendly dashboards and visualizations in Domo that effectively communicate insights to stakeholders.
• Collaboration: Work with business teams to understand their data needs and translate them into actionable insights using the Domo platform.
• Data Integrity: Ensure accuracy and consistency of data across systems, validating data connections to uphold quality standards.
• Training and Support: Provide training and support to team members on data tools and best practices, fostering a culture of data-driven decision-making.
• Continuous Improvement: Stay updated on industry trends and innovations within Domo to enhance our analytic capabilities.

Requirements

• Education: Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.
• Experience: Proven experience working with Domo or similar business intelligence platforms.
• Technical Skills: Proficiency in data modeling, ETL processes, and input/output management within the Domo platform.
• Data Analysis Skills: Strong analytical and problem-solving abilities, with a focus on data accuracy and validation.
• Visualization Skills: Experience in building interactive dashboards and reports that effectively communicate findings to stakeholders.
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical audiences.
• Team Collaboration: Ability to work collaboratively across departments and influence stakeholders at various levels.
• Soft Skills: Strong time management and organizational skills, with the ability to manage multiple projects and deadlines effectively.

Preferred Qualifications:

• Experience with other data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of SQL and other programming languages pertinent to data analysis.
• Familiarity with machine learning and predictive analytics concepts.