The role of Data Analyst is an exciting opportunity to work with data and drive business decisions.
Job Responsibilities
* Data Collection and Preparation: Gathering data from various sources, cleaning, managing missing data, and normalizing.
* Exploratory Data Analysis: Identifying patterns, trends, and anomalies to understand data characteristics and guide further analysis.
* Statistical and Predictive Modeling: Developing statistical models and machine learning algorithms for forecasting and classification.
* Data Visualization: Creating visualizations and reports using tools like Tableau, Matplotlib, or Seaborn to communicate findings clearly.
* Results Interpretation: Analyzing and interpreting model outputs to provide insights and strategic recommendations.
* Cross-Functional Collaboration: Working closely with technical, marketing, sales, and other teams to align data-driven strategies with business goals.
* Data Pipeline Development and Maintenance: Building and maintaining efficient data pipelines for collection, processing, and analysis.
* Professional Development: Staying updated on emerging technologies, tools, and trends in data science.
* Insight Extraction: Translating analytical findings into practical recommendations to improve business decisions.
Requirements
* Technical and IT-related degree.
* Soft Skills: Good communication, problem-solving, and teamwork skills.
Additional Information
* Hybrid working model.
* Full-time position available.
Seniority Level
* Entry level.
This is an entry-level position that offers the opportunity to learn and grow with a dynamic team.