GOBankingRates · 8 hours ago
Associate Data Product Manager (100% Remote, Anywhere in the USA)
Maximize your interview chances
AdvertisingDigital Media
Insider Connection @GOBankingRates
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Collaborate with business stakeholders to gather and understand their data needs and objectives, ensuring alignment with overall business strategy.
Help define clear and detailed requirements for data products, ensuring they meet the needs of both the business and the data engineering team.
Work closely with data engineers to prioritize and manage the development of data products, including data marts, schemas, ETL processes, dashboards, and reporting tools.
Create and maintain comprehensive documentation for data product specifications, processes, data mapping, and workflows to facilitate clear communication and understanding across teams.
Participate in UAT to validate data products against business requirements, ensuring high quality and usability.
Identify opportunities for enhancing data product offerings and processes, and provide feedback to improve the overall data product lifecycle.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Bachelor’s degree in Business, Data Science, Information Technology, or a related field.
2+ years of experience in a data-related role or product management, preferably within a data-focused environment.
Familiarity with data concepts, databases, and data visualization tools.
Data profiling, attention to detail, and ad hoc analysis is a must have.
Strong analytical and problem-solving skills with the ability to translate complex data needs into clear requirements.
Excellent verbal and written communication skills, with the ability to engage effectively with both technical and non-technical stakeholders.
Ability to work collaboratively in a fast-paced environment and manage multiple priorities.
Preferred
Experience as a data analyst or data engineer is a plus.
Basic understanding of ETL processes and data modeling is a plus.
Ability to create SQL or Python scripts preferred.
Benefits
100% Remote
Awesome medical, dental and vision plans with heavy employer contribution
Paid maternity leave and paternity leave programs
Paid vacation, sick days and holidays
Company funding for outside classes and conferences to help you improve your skills
Contribution to student loan debt payments after the first year of employment
401(k) -- employees can start contributing immediately. After the first year, GOBankingRates matches your contribution up to 4% of your salary