• Create and deploy data pipelines • Work in a collaborative environment • Tackle diverse challenges • Empower people through data

• Design, implement, and maintain complex data pipelines, ensuring scalability and reliability using Airflow, dbt, Rivery, Python, and SQL, enabling robust ingestion and transformation of structured and semi-structured data. • Serve as a strategic partner to business teams, working closely with stakeholders to translate high-level goals into data solutions that support forecasting, performance tracking, and optimization. • Develop and maintain clean, well-documented data models in Snowflake and BigQuery that support analytics, reporting, and operational workflows and contribute to architecture decisions. • Integrate data from a variety of internal and external sources, including Google Analytics and third-party APIs, to support full-funnel visibility across departments. • Enable self-service analytics by ensuring data assets are discoverable and usable via tools such as Tableau, including thoughtful semantic layer design and performance tuning. • Contribute to the development of robust monitoring and observability practices for data quality and pipeline health. • Collaborate on architecture and design decisions, including cloud infrastructure and containerization using AWS. Pulumi and Docker. • Maintain strong documentation and promote engineering standards that ensure transparency, maintainability, and reusability of data systems.

• Work across the full stack depending on where you can drive the highest impact: from ETL pipelines to data warehousing to visualisations, as well as testing and cloud infrastructure. • Work with your team to design and implement features and services for the data analytics solution, and keep the design choices well-documented and explained • Train/mentor other Data engineers on Data engineering best practice. • Use your experience to create/improve predictive data quality • Champion the DataOps culture, support data systems in production, including participation in our out-of-hours on-call rota • Communicate with customers to discuss new use cases or help them identify and fix data issues, as well as manage the end-to-end setup for them: from raw data analysis, to defining and implementing data ingestion/enrichment pipelines to creating data visualisations

Real opportunities. Real impact. Your career, redefined. (NOTE: A human reviews every application at Oceans, so please apply for only one position and only once a year—if you're a better fit for another role, we’ll route your application accordingly and if we’re not quite ready for you, we’ll reach back out later). At Oceans, we believe that talent knows no boundaries. That’s why we connect the best and brightest professionals with career-defining opportunities that challenge, inspire, and accelerate their career growth. Our community, whom we call Divers, don’t just work—they dive deep, solve complex challenges, and make a real impact with global industry leaders. And in doing so, they don’t just support bold ideas—they expand their skills, broaden their expertise, and grow their careers. As a Data Management & Operations Specialist, you will play a critical role in ensuring the accuracy, integrity, and usability of marketing data across multiple client accounts. You will support data pipelines, validate datasets, and maintain reporting systems that enable reliable, insight-driven decision-making. This role is ideal for someone who is highly execution-focused, detail-oriented, and technically strong, with the ability to proactively identify issues, improve processes, and operate effectively in a fast-paced agency environment. Accountability Your success as a Data Management & Operations Specialist will be defined by the reliability, accuracy, and scalability of the data systems you support, ensuring stakeholders can confidently rely on reporting outputs. Here’s how you’ll make an impact: Data Management & Integration - Aggregate and integrate data from multiple marketing platforms using tools such as Funnel.io and data warehouses. - Clean, normalize, and structure datasets for consistency and usability. - Perform ongoing QA checks to ensure data accuracy. - Troubleshoot and resolve discrepancies across systems. Dashboard Development & Maintenance - Build and maintain dashboards using Tableau and similar BI tools. - Ensure data sources are properly connected, structured, and scalable. - Monitor dashboards for anomalies and data flow issues. - Investigate and resolve inconsistencies proactively. Campaign Tracking & Implementation - Support campaign tracking setup, including UTMs and tagging structures. - Implement and validate tracking requirements across platforms. - Assist with pixel setup and troubleshooting. - Coordinate with internal teams and external partners to ensure accurate tracking. Performance Monitoring & Reporting Support - Prepare clean, structured datasets for reporting workflows. - Support recurring reporting cycles with accurate and timely data. - Identify anomalies and flag irregular performance trends. - Contribute to insights and optimization opportunities over time. Operations & Workflow Management - Manage multiple data and reporting requests across client accounts. - Track tasks and deliverables using project management tools. - Maintain clear communication across teams and stakeholders. - Anticipate upcoming reporting and campaign needs proactively. Colleagues You’ll work closely with analytics managers, media teams, and external partners, acting as a key execution partner in maintaining reliable data systems and reporting workflows. At Oceans, you’ll also receive guidance and support from your Operations Manager, who will help you succeed in the role and ensure that you’re continuously growing and developing in your career. Skills & Qualifications At Oceans, we believe in T-shaped individuals—those who bring deep expertise in one area, paired with broad curiosity and interests. As a Data Management & Operations Specialist, your vertical focus will be on maintaining accurate and reliable marketing data systems, while your horizontal focus will include marketing analytics understanding, data validation, and cross-functional collaboration. To excel in this role, you should have: - Experience: 3–5 years of experience in data analytics, marketing analytics, or analytics operations within an agency or performance marketing environment. - Data & BI Tools: Strong hands-on experience with tools such as Funnel.io and Tableau, with the ability to build, maintain, and troubleshoot dashboards. - Data Handling & Validation: Proven ability to clean, normalize, and validate data across multiple sources, ensuring high levels of accuracy and integrity. - Marketing Data Understanding: Familiarity with marketing platforms such as Google Ads, Meta, LinkedIn, and Google Analytics, including campaign tracking concepts. - Technical Skills: Working knowledge of SQL or data warehousing tools such as BigQuery is a strong advantage. - Execution & Ownership: Ability to manage multiple priorities, work independently, and deliver consistent, high-quality outputs in a fast-paced environment. Diversity of experience is core to Oceans. You are expected to work inclusively with individuals from a variety of backgrounds, ensuring that both personal and collective dignity are supported. During the interview process, you’ll have the opportunity to showcase your skills in the following areas: - Data Management & Accuracy: How you ensure clean, reliable, and trustworthy datasets across multiple sources. - Dashboarding & BI Tools: How you build and maintain scalable reporting systems that support business decisions. - Marketing Data & Tracking: How you understand and implement campaign tracking and attribution logic. - Problem-Solving & Troubleshooting: How you identify and resolve data discrepancies and system issues. - Execution & Prioritization: How you manage multiple workflows while maintaining accuracy and consistency. - Communication & Collaboration: How you coordinate effectively across teams to deliver reliable outcomes. Role Specifications This is a remote role, where you will be expected to work a split shift with some overlap with our client’s time zone. You will, however, be expected to be present for in-person training programs during your first 90 days with us. During the offer process, we’ll share more information about our benefits and compensation philosophy, considering both market trends and individual factors. About Oceans At Oceans, we build remote teams that connect the world’s top 1% of talent with visionary leaders. With us, you’re not just doing a job—you’re redefining your career with opportunities designed to unlock your potential. We welcome the chance to discuss the complementary parts of our business during your interview process and encourage questions about where we are and where we are going.