Data Scientist ( {{city}}) Job at Insight Global, Seattle, WA

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  • Insight Global
  • Seattle, WA

Job Description

About Us: We are seeking a seasoned data operations professional to join our dynamic mobile business unit. Your role will be crucial in ensuring our data is efficient and accurate, driving our growth. If you are dedicated to data integrity, a systemic thinker, technically skilled, and excel in cross-functional communication and collaboration, we want you on our team. Your expertise in analytical skills, data visualization, and technical product management will accelerate our data-driven decisions.

Key Responsibilities:

  • Pipeline Management: Oversee the creation and updating of data pipelines from specification to deployment.
  • Data Quality: Act as the primary point of contact for data quality, defining telemetry and taxonomy standards, and ensuring data integrity.
  • Vendor Integration: Lead the integration of new vendors and services into our data warehouses to enhance business logic.
  • Collaboration: Partner with Data Engineering & Business Intelligence to ensure mobile priorities are met and analytical needs are integrated into clients.
  • Data Modeling: Design data models to optimize computational efficiency.
  • Monitoring: Develop dashboards to track anomalies, database usage, and more.
  • Workflow Optimization: Propose and implement solutions to streamline the analytics team’s workflows.

Qualifications:

  • Experience: 3+ years in analytics, data quality, or data operations.
  • SQL Expertise: Proficient in writing complex SQL queries to analyze large datasets, QA pipeline updates, and efficiently obtain data.
  • Schema Design & Data Modeling: Strong experience in schema design, data modeling, and defining taxonomy.
  • Technical Skills: Proficient with tools such as Snowflake, Databricks, Redshift, Airflow, Datadog, Postgres, and programming languages like Python or C#.
  • Technical Specifications: Experience in writing and reviewing technical specs with cross-functional teams.
  • Visualization Tools: Skilled in at least one visualization tool such as Tableau or Looker.
  • Collaboration: Ability to engage and align with engineers, analysts, and other stakeholders to deliver optimal solutions.
  • Attention to Detail: Excellent attention to detail, natural curiosity, and creative problem-solving skills

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