data analyst

  • Miami, FL
  • Posted 1 day ago | Updated 1 day ago

Overview

Remote
Hybrid
$60,000 - $60,000
Full Time
No Travel Required

Skills

Analytical Skill
Apache Spark
Data Manipulation
Microsoft Power BI
Tableau
Statistical Models
Statistics

Job Details

Data Analyst

Job Description:

Are you passionate about turning raw data into actionable insights? One of our staffing partners is hiring for a ecommerce client who is seeking a Data Analyst to collect, process, and analyze data to support business decision-making. If you're detail-oriented and thrive on uncovering trends, we d love to hear from you!

Additional responsibilities to develop and implement cutting-edge machine learning solutions. Should like working with algorithms, data-driven insights, and innovative technology

Salary offered $55-65k per year

Direct applicants only no c2c or company candidates due to low margins.

The staffing company or client will reach directly to the applicants.

Responsibilities:

Proficiency in SQL, Excel, and data visualization tools (Power BI, Tableau).

Strong analytical and problem-solving skills.

Prior experience in business intelligence or data-driven decision-making.

Knowledge of Python/R for data manipulation is a plus.

Experience with statistical analysis and reporting techniques.

Understanding of A/B testing and experimentation methodologies.

Experience working with large-scale data in cloud environments (AWS, Azure, Google Cloud Platform).

Analyze large, unstructured datasets to extract meaningful insights.

Design and develop machine learning models to solve business problems.

Strong programming skills in Python, R, or Scala.

Create predictive analytics and recommendation systems.

Ensure model accuracy through continuous improvement and testing.

Collaborate with engineers and analysts to deploy data-driven solutions.

Knowledge of statistical modeling, NLP, or deep learning

Prior experience working with AI, machine learning, and deep learning applications.

Expertise in big data technologies (Spark, Hadoop).

Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Impetus IT