Data Analyst
On-site
Full Time
#Engineering
#Data Collection
#Analytics
#Python
#SQL
#Big Data
#Hadoop
#Spark
#Tableau
#Data Modeling
We are looking for a curious and driven individual to join our engineering team. We pride ourselves on building solutions at scale, and we believe that the best results come from a culture of agility and continuous learning. If you are passionate about digging into complex information to find meaningful answers, you will fit right in with our collaborative group.
About the Role
We are hiring for a Full Time Data Analyst. This role is designed for a junior professional who is eager to apply their analytical skills to real world challenges. You will work closely with our engineers to transform raw information into clear, actionable insights that help drive our business forward.
Key Responsibilities
- Prepare raw data for analysis by assessing quality, cleaning records, and structuring information for future processing.
- Develop and refine accurate, scalable prediction algorithms to support our technical objectives.
- Work alongside our engineering team to transition analytical prototypes into live production environments.
Requirements
To be successful in this position, you should have a strong foundation in quantitative analysis and a desire to grow. We are looking for the following qualifications:
- A Bachelor's degree or equivalent practical experience in a quantitative field, such as Statistics, Mathematics, Computer Science, or Engineering.
- At least 1 to 2 years of professional experience in data modeling or quantitative analytics.
- Strong proficiency in Python and SQL.
- Familiarity with Big Data frameworks and visualization tools, specifically Hadoop, Spark, Cassandra, and Tableau.
Location
This position is based in the United States and requires an on-site presence.
Compensation and Benefits
We offer a collaborative work environment where you will have the opportunity to work with a highly talented team of engineers. We value professional growth and provide a space where your contributions to our data strategy will have a direct impact on our success.
