Agero is looking to solve the problem of bridging the gap between raw data and strategic insights to inform critical business decisions and drive business growth.
Requirements
- Proficiency in querying, analyzing, and visualizing large datasets using SQL, Python, R, and data visualization tools (e.g., Sigma, Tableau, PowerBI)
- Experience with cloud data platforms such as GBQ, Snowflake, or Redshift
- Strong understanding of statistical techniques (e.g., Regression, A/B Testing, Causal Inference) and their application in business contexts
- Familiarity with machine learning algorithms, natural language processing (NLP), and advanced analytics techniques
- Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks
- Knowledge of data engineering processes, including ETL (Extract, Transform, Load)
Responsibilities
- Lead the development of robust analytics and data science solutions to 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
- Utilize advanced statistical and machine learning techniques to develop analytical models that deepen understanding of customer behavior patterns, enhance operational efficiencies, and uncover insights into market dynamics
Other
- Willingness to travel is required, as you may need to attend on-site team meetings from time to time
- 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
- Project management skills, attention to detail, and the ability to work independently, as well as part of a team
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related technical field
