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At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment. We're looking for a Mid Data Operations Analyst to join our client's Data Operations team to ensure predictable, accurate and timely delivery of data to internal stakeholders and our customers. In this role, you’ll become a vital link between our Commercial strategy and technical execution, translating complex customer needs into actionable data solutions. You will have the opportunity to collaborate with Data Science, Engineering, Insight Analysts, and clients directly. Antenna, our client, is a remote-first company, and we are looking for candidates who can work during US business hours. You will report to our VP Data Operations.
Job Responsibility:
Investigate anomalous data to make a judgment call on whether trends represent data quality errors or real-world events
Act as the first responder for data issues and inquiries
Educate commercial stakeholders about data definitions and nuances
Manage updates to QA tests and dashboards to streamline ongoing QA checks
Investigate data restatements and data science models
Coordinate data fixes in partnership with Engineering and Data Science teams and data vendors
Perform data quality investigations to understand why Antenna data does not align to customer’s first party data
Present findings to customers directly
Run new coverage feasibility, and propose solutions to update methodology and pipeline capabilities
Coordinate monthly data releases in Looker, and weekly data releases via ad hoc reports
Requirements:
4+ years of hands-on experience in data-focused roles
Expert in SQL, Excel, DBT and business intelligence tools (e.g. Looker, Redash)
Proven ability to organize, analyze and vet large volumes of data
Strong communication and stakeholder management skills
Self-starter with the ability to carry multiple initiatives, prioritize time and resources, and meet deadlines
4-6 years of hands-on experience in data-focused roles
Proficient in performing advanced SQL queries
Track record of analyzing large datasets
Capable of rectifying data inconsistencies and developing scalable data quality test plans
Proficient in managing product lifecycles and communicating action plans and timelines to clients
Experience collaborating with Engineering and Data Science teams
Ability to think strategically and translate client requirements
Strong communication skills with experience in managing stakeholders
Proficient decision-making skills, adept at prioritizing tasks and project managing cross-functional teams
Efficient management of data processes and documentation
Nice to have:
Prior experience in managing data vendors, including selection, negotiation, and issue resolution
Ability to mentor and supervise team members, ensuring adherence to best practices in data operations
Experience using automation tools and AI-driven solutions to streamline data workflows and elevate data product reliability