Data Scientist / Analyst

Data Scientist / Analyst

Oceans · Sri Lanka (Remote) · — · Posted 2026-11-10

Workplace: remote

Department: Market

Description

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 Scientist / Analyst, you will join an award-winning, full-service marketing agency delivering integrated print,digital, web, email, media, and analytics solutions across a diverse portfolio of clients. In this role, you will serve as a technical analytics specialist, bridging marketing investments with website behavior, data engineering pipelines, statistical modeling, and measurable business outcomes.

This is a hands-on, execution-focused position within an established, creative, and analytical environment. You will maintain reliable marketing data infrastructure, design actionable client-facing reporting, support sophisticated attribution and econometric modeling initiatives, and work with cutting-edge proprietary search and AI analytics engines.

Accountability

As a Data Scientist / Analyst, your success will be defined by your ability to build robust data infrastructure, ensure high-integrity cross-channel measurement, and deliver advanced statistical models and reporting that drive strategic marketing investment decisions.

Here’s how you’ll make an impact:

Data Engineering & Pipeline Management

• Build, maintain, and optimize robust marketing data pipelines utilizing Funnel and Google BigQuery.
• Integrate data feeds across diverse marketing, advertising, and analytics platforms into unified schemas.
• Standardize data structures and establish consistency across client reporting repositories and data warehouses.
• Identify, troubleshoot, and resolve data quality anomalies, pipeline errors, and discrepancies proactively.
• Support the planned platform migration from Funnel to Supermetrics.
  Maintain thorough technical documentation of data workflows, pipelines, and schema architectures.

Data Visualization & Business Reporting

• Design, build, and maintain interactive, high-impact Tableau dashboards for internal teams and client stakeholders.
• Produce recurring marketing performance reports that translate multi-channel data into clear business narratives.
• Identify and communicate performance trends, anomalies, and optimization opportunities to both technical and non-technical audiences.
• Ensure rigorous accuracy, QA verification, and consistency across all client reporting deliverables.

Website Analytics & Measurement Implementation

• Analyze site traffic, user engagement, and conversion funnels using Google Analytics 4 (GA4).
• Support tag implementation, trigger configurations, and tracking QA via Google Tag Manager (GTM).
• Conduct comprehensive audits of existing website tracking setups to identify and remediate measurement gaps.
• Ensure reliable event, parameter, and conversion tracking to tie on-site behaviors directly to upstream campaign performance.

Marketing Attribution & Statistical Modeling

• Develop, maintain, and support multi-touch marketing attribution models across accounts.
• Contribute to Marketing Mix Modeling (MMM) initiatives and econometric evaluations.
• Apply rigorous statistical analysis, predictive modeling, and causal inference to assess overall marketing effectiveness.
• Evaluate relationships between multi-channel marketing investments and downstream business outcomes,translating outputs into practical recommendations.

Media Data Integration & Proprietary Engine Analytics

• Incorporate media planning and campaign data from platforms such as Bionic and Skai into centralized data warehouses.
• Analyze the direct relationship between media spend, website performance, and business revenue outcomes.
• Support advanced analytics, data modeling, measurement, and reporting for the agency's proprietary AIO/SEO analytics engine (Kaleidoscope).
• Collaborate across media and account teams to drive data-informed marketing allocation decisions.

Colleagues

You will work directly with the client's Analytics Manager, while collaborating closely with the Chief Operating Officer,senior analytics team members, media planners, and account managers across multiple client engagements. 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 and 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 Scientist / Analyst, your vertical strength will be marketing data engineering, visualization, and statistical modeling, while your horizontal capabilities should span cross-functional communication, media analytics context, and independent problem-solving.

To excel in this role, you should have:

• Experience: Proven experience in marketing measurement, performance analytics, and statistical modeling, ideally within an agency or multi-client setting.
• Tools & Systems: Hands-on experience with marketing data pipeline platforms (Funnel or Supermetrics), Google BigQuery, Tableau, Google Analytics 4 (GA4), and Google Tag Manager (GTM). Familiarity with media data platforms such as Bionic and Skai is a strong advantage.
• Analytics & Process: Strong understanding of marketing attribution, Marketing Mix Modeling (MMM), predictive or causal modeling, conversion measurement, and data warehouse schema normalization.
• Mindset: Methodical, detail-oriented, and self-directed, with the ability to troubleshoot complex data pipelines and communicate technical findings to non-technical stakeholders with clarity.

During the interview process, you’ll have the opportunity to showcase your skills in the following areas:

• Marketing Data Pipelines & BigQuery: How you build, normalize, and maintain scalable data pipelines and data warehouse schemas across disparate advertising platforms.
• Tableau Dashboarding & Storytelling: How you translate complex, multi-platform datasets into intuitive dashboards and actionable commercial insights.
• GA4 & GTM Implementation: How you audit site tracking architectures, identify measurement gaps, and establish reliable event and conversion tracking.
• Statistical Modeling & Attribution: How you evaluate marketing mix effectiveness, design attribution frameworks,and apply statistical or causal inference to investment decisions.
• Independent Problem-Solving: How you diagnose and resolve data discrepancies and pipeline breakages in a multi-client 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.

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 3.5 weeks 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 Talent, we connect the world’s top talent with visionary companies building what’s next. Here, you’re not just stepping into another role — you’re joining a team that values individuality, ambition, and growth without limits. Unique, like you.

We’re always excited to share more about our journey, where we’re headed, and how you can grow with us throughout the interview process.

Want to learn more about our recruitment process, what to expect from interviews, and possible outcomes? Check out [The Dive].

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