9 часов назад
Senior Data Analyst (SQL/Python)
114 000 - 196 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (SQL/Python): Building analytical frameworks, scalable data models, transformation pipelines, and executive dashboards for a high-scale commerce platform with an accent on platform usage, system performance, data quality, and metric governance. Focus on analyzing high-volume hybrid-cloud datasets, identifying infrastructure bottlenecks, defining product metrics, and translating complex findings into strategic recommendations.
Location: Seattle, USA
Salary: $114,000–$196,000 per year, plus potential annual bonus of 0–20% of base salary.
Company
is a large global public e-commerce company building high-scale commerce services and customer experiences.
What you will do
- Design and maintain analytical frameworks monitoring platform usage, user engagement, and system performance.
- Build scalable data models, SQL/dbt transformation pipelines, and reporting data pipelines.
- Create executive dashboards and operational reports with Tableau, Looker, or Power BI.
- Perform quantitative analyses of high-volume datasets to identify trends, platform bottlenecks, and resource-utilization opportunities.
- Partner with engineering and product teams to define, instrument, and validate metrics for features and infrastructure services.
- Establish metric definitions, data governance standards, analytical code reviews, and recommendations for technical and executive stakeholders while mentoring junior analysts.
Requirements
- Bachelor’s degree in data analytics, computer science, statistics, mathematics, or a related quantitative field.
- 5+ years of experience in data analytics, business intelligence, or quantitative analysis, preferably with technical or platform products.
- Advanced SQL skills for large, complex relational and non-relational databases, plus hands-on Python or R experience.
- Experience designing data models and dashboards with enterprise BI tools such as Tableau, Looker, or Power BI.
- Experience with cloud data platforms such as Snowflake, BigQuery, Redshift, or Databricks.
- Strong knowledge of statistical methods, data modeling, data warehouse architecture, communication, storytelling, and stakeholder management.
Nice to have
- Master’s degree in data science, statistics, business analytics, or a related quantitative field.
- Experience with dbt, Apache Airflow, distributed systems, API logs, streaming platforms, AI/ML product metrics, A/B testing, predictive modeling, Git, version control, or CI/CD.
- Ability to work independently in a fast-paced environment and manage multiple priorities.
Culture & Benefits
- Startup culture combined with the resources of a large global public company.
- Medical, dental, vision, life, AD&D, disability, FSA, and HSA benefits.
- 401(k) plan with company match.
- 18–21 days of paid time off based on tenure, 12 paid holidays, and paid parental leave.
- Annual bonus opportunity, pre-tax commuter benefits, and free electric-car charging.
Hiring process
- Application review, phone interview, onsite or virtual onsite interview, and offer.
- The process and interview schedule may vary by role and circumstance.
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