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DevSavant · 1 month ago

Senior Data Ops Analyst

LATAM

Full-time

Onsite

Senior Level

5+ years exp

DevSavant is a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. They are seeking a Senior Data Operations Analyst to ensure predictable, accurate, and timely delivery of data to stakeholders and customers, acting as a vital link between commercial strategy and technical execution.

AnalyticsDigital MarketingSaaSSoftware

Responsibilities

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 (internally) and data vendors (externally)

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

Qualification

SQLData quality managementData analysisBusiness intelligence toolsStakeholder managementCommunication skillsProject managementStrategic thinkingTeam mentoring

Required

Strategic thinker with 5+ years of hands-on experience in data-focused roles

Expert in SQL, Excel, DBT and business intelligence tools (e.g. Looker, Redash), comfortable navigating complex ETL systems and messy data

Proven ability to organize, analyze and vet large volumes of data with great attention to detail

Strong communication and stakeholder management skills; able to translate technical concepts and align Data Ops initiatives with customer-centric objectives

Passionate about solving customer problems

Self-starter with the ability to carry multiple initiatives, prioritize time and resources, and meet deadlines in a fast-moving environment

4-6 years of hands-on experience in data-focused roles

Proficient in performing advanced SQL queries for research and reporting, ensuring data quality and integrity

Track record of analyzing large datasets, mining for inconsistencies and recognizing patterns

Capable of rectifying data inconsistencies and developing scalable data quality test plans to uphold high standards of data quality

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, data feasibility assessments and limitations, and product vision into actionable strategies

Collaborate strategically with product and commercial teams to transform raw data into actionable product features and improvements, directly impacting customer satisfaction

Strong communication skills with experience in managing stakeholders and effectively communicating Data Ops initiatives to drive organizational objectives

Proficient decision-making skills, adept at prioritizing tasks and project managing cross-functional teams

Efficient management of data processes and documentation