Data Analyst II

SGS_JOB_3185

Engineering
 New York
SQL
Data Visualization
Tableau
Power BI
ETL
Artificial Intelligence (AI)

Contract - 6 Months

Location: New York, NY We are looking for a data analytics engineer who shares our passion for helping make our apps and products reliable and safe. The right candidate will be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization. Key projects: Product Analysis, Bug Detection, And Resolution Typical Day in the Role: Data analysis, Collaboration with various teams, Communication of results, Reporting and Process Improvement, ensuring data accuracy and integrity to drive business growth and improvement while ensuring the reliability and safety. Interview Process: 2-3 Rounds (Technical)

Job Responsibilities:

  • Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities.
  • Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding.
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks
  • Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g. thorough identification of data & tooling requirements enabling self-service / scalable solutions
  • Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards
  • Define metrics/KPIs for end-to-end product operations and building repeatable and reproducible analysis
  • Utilize AI tools to help automate routine analyses and scale solutions.

Skills:

  • Experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
  • Experience with ETL pipeline development.
  • Proficiency with intermediate to advanced SQL concepts for data extraction.
  • Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
  • Experience creating dashboards with Tableau, Power BI, Alteryx and other data visualization tools.
  • Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
  • Experience with communicating and presenting findings to non-technical stakeholders.
  • Experience using AI for data analysis and summarization
  • Experience measuring the performance of AI models
  • Experience working across time zones and with diverse audiences, including within operations teams and
  • across with key stakeholders and senior leadership
  • Experience with ETL pipeline development.
  • Proficiency with intermediate to advanced SQL concepts for data extraction.
  • Experience creating dashboards with Tableau, PowerBI, Alteryx and other data visualization tools.
  • Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
  • Experience with communicating and presenting findings to non-technical stakeholders
  • Experience using AI for data analysis and summarization.
  • Experience measuring the performance of AI models
  • Experience working across time zones and with diverse audiences, including within operations teams and across with key stakeholders and senior leadership

Education/Experience:

  • Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience.

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