A hybrid Data Analytics role at Coda.
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We are hiring a Senior Data Analyst / Analytics Engineer to own high-impact commercial analytics across Coda.
This role sits at the intersection of business analytics, dashboarding, metric governance, and analytical data modeling. You will support Commercial, Account Management, Marketing, Pay/Risk, and Finance by turning raw data into trusted metrics, decision-ready dashboards, and clear business recommendations.
This is not a reporting-only role. We are looking for someone who can sit with business leaders, understand the decision that needs to be made, go deep into the data, and come back with a clear point of view.
The ideal candidate is commercially sharp, technically strong, comfortable with ambiguity, and able to move quickly without compromising analytical quality.
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Own analytics for Commercial and Account Management use cases, including publisher performance, portfolio health, margin trends, pricing impact, product performance, and opportunity sizing.
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Support Commercial, Pay/Risk, Marketing, and Finance teams with fast, high-quality analysis that helps diagnose trends, quantify impact, and drive business action.
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Translate ambiguous business questions into structured analysis, clear recommendations, and decision-ready outputs.
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Build and maintain trusted analytical datasets in dbt, helping define shared business logic and improve the quality of Coda’s Gold layer.
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Help codify key metrics through semantic-layer tools such as LookML, the dbt semantic layer, or similar governed BI patterns.
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Build dashboards in Tableau, Looker, and QuickSight that business teams actually use to monitor performance, identify issues, and make decisions.
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Improve data quality and trust through dbt tests, freshness checks, anomaly detection, documentation, and root-cause analysis.
What you'll bring
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5+ years of experience as a Data Analyst, Analytics Engineer, BI Analyst, or similar role.
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Strong SQL skills and experience working with large, complex datasets.
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Strong business analytics experience, ideally in payments, fintech, eCommerce, gaming, digital commerce, marketplaces, or high-growth internet businesses.
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Experience translating ambiguous business questions into structured analysis and clear recommendations.
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Experience building dashboards in Tableau, Looker, QuickSight, Power BI, or similar tools.
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Production experience with dbt, including models, tests, documentation, and reusable transformation patterns.
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Familiarity with semantic-layer concepts such as LookML, dbt semantic layer, Cube, metrics layers, or governed BI models.
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Working knowledge of AWS data tools such as Athena, S3, Glue, EMR, Redshift, or similar cloud data platforms.
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Python skills for analytical work, especially pandas, numpy, and basic statistical analysis.
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Strong understanding of business metrics such as TPV, revenue, gross profit, margin, conversion, retention, campaign performance, fraud/risk metrics, and account performance.
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Strong written and verbal communication skills, especially with business and leadership stakeholders.
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Ability to work independently, prioritize well, and move quickly in a fast-changing business environment.
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Experience with Iceberg, Parquet, or modern lakehouse architectures.
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Experience migrating from legacy BI/reporting environments to governed semantic layers.
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Experience with marketing measurement, attribution, incrementality, A/B testing, geo tests, or matched-market tests.
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Experience working with payment, fraud, risk, or transaction data.
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Experience supporting Commercial, Account Management, Finance, or executive stakeholders.
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Exposure to ML workflows, SageMaker, or AI-assisted analytics workflows.
Coda
Data Analytics
23 open roles on Sydicom
Coda is an all-in-one platform that blends the flexibility of docs, structure of spreadsheets, power of applications, and intelligence of AI.
Source: company website
