Use statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights to drive product requirements.
Interpret results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis and create accurate/timely impact analysis.
Identify KPIs and develop metrics to track and measure product performance.
Identify, communicate, and assist with the efforts to resolve data gaps that impact the delivery of data products.
Evaluate proposed technical solutions to ensure alignment with business needs and functional requirements.
Collaborate across business and technical teams to create Technical Requirements, Functional Requirements, User Stories and User Acceptance Tests.
Collaborate with QA teams in test plan creation and user acceptance testing validate delivered solution meets business expectations.
Gain domain knowledge in relevant business areas, technical options/limitations and data sources/processes.
Ensure quality through adherence to and supporting processes and procedures, including the maintenance of documentation on shared file systems.
Provide support to other data analysts, product owners and project managers to help drive business initiatives.
Requirements
Bachelor’s degree in Computer Science, Engineering, or another quantitative field.
5-7 years of experience as a Data Analyst in an analytics-driven environment.
Advanced proficiency in SQL; understanding of data analysis tools and techniques; Python skills a plus.
Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights.
Self-starter with the ability to work independently in a fast-paced, complex environment; demonstrates initiative and ownership without the need for close supervision.
Excellent communication skills and ability to convey complex data findings to stakeholders.
Experience with Agile methodologies.
Well versed in utilizing tools such MS Excel, MS PowerPoint, MS Visio/Lucid Chart, JIRA, Confluence.
Tech Stack
Python
SQL
Benefits
Competitive compensation.
Limitless growth and learning opportunities.
A collaborative and positive culture.
A chance to make an impact.
Enjoy the flexibility of working from home.
20+ PTO days plus holidays and floating holidays in first year.
Extensive medical, dental insurance and vision plan.