Data Analyst

4 hours ago

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Agero, Inc.

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Roadside Assistance • Claims Management • Award Winning Response Centers • Accident Management • Emergency Response

1001 - 5000

Description

• The Data Analyst plays a critical role in driving data-centric initiatives within the organization, transforming raw data into valuable insights that inform key business strategies. • This role involves analyzing complex datasets to uncover trends and patterns, providing actionable insights that help shape business decisions. • The Data Analyst works closely with cross-functional teams, including Product and Engineering, to ensure data insights are effectively translated into strategies that improve operational efficiency and foster business growth. • Optimize decision-making processes across product lifecycle stages. • Conduct rigorous A/B testing and experimentation to evaluate product features, user experiences, and pricing strategies. • Design and maintain real-time dashboards that monitor key performance indicators (KPIs), conducting in-depth performance analyses to identify trends, anomalies, and areas for improvement. • Leverage quantitative analysis and data storytelling to uncover actionable insights that drive business growth. • Partner effectively with teams across Product Management, Engineering, Marketing, Sales, and other departments to prioritize and execute data-driven projects.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related technical field. • 2-4 years of experience in data analytics, business analytics, consulting, or related roles. • Experience with cloud data platforms such as GBQ, Snowflake, or Redshift. • Previous experience in a technical role at a top-tier professional services or leading technology company is preferred. • Technical Skills: Proficiency in querying, analyzing, and visualizing large datasets using SQL, Python, R, and data visualization tools (e.g., Sigma, Tableau, PowerBI). • Strong understanding of statistical techniques (e.g., Regression, A/B Testing, Causal Inference) and their application in business contexts. • Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. • Strong analytical and problem-solving skills, capable of translating business requirements into actionable analytical solutions. • Demonstrated ability in project and task management, attention to detail, and the ability to work independently, as well as part of a team.