Top Data & Analytics Jobs in Seattle, WA

16 Days AgoSaved
In-Office
Seattle, WA, USA
87K-117K Annually
Mid level
87K-117K Annually
Mid level
Fintech • Financial Services
Perform marketing analytics for Redfin integration: ingest and validate Redfin data feeds, analyze campaign performance and attribution, build dashboards and reports, and collaborate with marketing and engineering to support data pipelines and measurement.
16 Days AgoSaved
In-Office
Seattle, WA, USA
80K-183K Annually
Senior level
80K-183K Annually
Senior level
Fintech • Financial Services
Senior Data Analyst embedded in Finance to deliver executive-grade forecasting, intra-quarter pacing, P&L modeling, and automated reporting. Build finance data infrastructure on Snowflake, create dashboards and pipelines (Power BI, SQL, Excel), partner with IR and engineering, and mentor analysts to drive decision-ready insights.
Top Skills: Ai-Assisted ToolingAzureExcelPower BIPythonRSnowflakeSQL
Reposted 14 Days AgoSaved
In-Office
Seattle, WA, USA
78K-135K Annually
Mid level
78K-135K Annually
Mid level
Fintech • Financial Services
As a Data Analyst II, you will analyze web and app traffic data to generate insights, develop metrics, evaluate experiments, and enhance user engagement and conversions.
Top Skills: ExcelPythonRSQLTableau
21 Days AgoSaved
In-Office
Seattle, WA, USA
120K-162K Annually
Mid level
120K-162K Annually
Mid level
Fintech • Financial Services
Design, build, and maintain complex batch and streaming data pipelines and integrations. Collaborate with engineering and analytics teams to model data, implement data exchange systems, automate and optimize processes, support dev/test/prod environments, ensure data quality, and participate in on-call rotation.
Top Skills: Apache AirflowSparkApi DevelopmentAWSAzureDockerGCPGitJavaJenkinsKubernetesMySQLPostgresPythonSnowflakeSQL
21 Days AgoSaved
In-Office
Seattle, WA, USA
154K-208K Annually
Senior level
154K-208K Annually
Senior level
Fintech • Financial Services
Own and evolve Redfin's analytics data warehouse and data lake. Design dimensional data models, build and tune ETL pipelines, write performant SQL, implement data ingestion and storage solutions, deliver end-to-end features, and collaborate with Analytics and Engineering to support production data needs.
Top Skills: Amazon S3Aws RedshiftData LakeData WarehouseDimensional ModelingDynamoDBEc2ETLJavaPythonScalaSQL
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