Data Analyst

Responsibilities:

• Partner with product managers, engineers, data scientists, and business stakeholders to understand each team’s data needs and help evangelize existing gold data assets that enable a data-driven culture.
• Collaborate with data scientists to perform deep dive ad-hoc analyses and set up A/B and multivariate experiments.
• Build aesthetically compelling and impactful presentations that drive actionable insights.
• Design and develop automated golden dashboards in Looker that drive strategic decision-making and monitoring across the organization
• Democratize and standardize both analytical methodologies and operational metrics to improve the data literacy and analytical prowess of the organization
• Empower stakeholders to become more self-service by leveraging Looker for most of their reporting needs
• Identify gaps in existing data, suggest data product specs as new features launch, and collaborate with internal teams to add and improve existing gold data offerings.
• Incorporate automation wherever possible to improve data pipelines and analyses.
• Create testing and monitoring systems to ensure data quality and observability.

Qualifications:

• Bachelor’s in Engineering, Business, Information Systems, or other quantitative discipline.
• 4+ years of professional experience as an analyst writing advanced SQL queries to answer business questions in addition to building and maintaining reporting in various enterprise Business Intelligence platforms.
• Excellent collaboration & communication skills to work with stakeholders to translate business needs and ideas into tractable work items.
• Excellent communication skills with an ability to effectively present to the senior leadership team, board of directors, and other key stakeholders.
• Top-notch organizational skills and ability to manage multiple projects and deadlines in a fast-paced environment
• Move fast, be a team player, always be learning, and give back.

Key Skills:

• Data cleaning and preparation.
• Data analysis and exploration.
• Statistical knowledge.
• Creating data visualizations.
• Creating dashboards and reports.
• Writing and communication.
• Domain knowledge.