Data Analyst & Data Mining Specialist

Data Analyst & Data Mining Specialist MHMarkets

We are seeking a highly skilled Data Analyst & Data Mining Specialist to join our team. This role is responsible for analyzing large datasets, uncovering insights, and supporting data-driven decision-making. You will apply statistical models, data mining techniques, and visualization tools to extract meaningful patterns and trends that drive business growth.

Key Responsibilities:

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify patterns and correlations.
• Apply data mining techniques such as clustering, classification, regression, and anomaly detection.
• Develop dashboards and reports using visualization tools (e.g., Power BI, Tableau, Python).
• Collaborate with business stakeholders to translate data insights into actionable strategies.
• Ensure data quality, accuracy, and security in all analytical processes.
• Manage databases to ensure security, accessibility, and proper functionality.
• Stay updated on industry trends, best practices, and new analytical tools.

Desired Candidate Profile

Required Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience in data analysis, data mining, and statistical modeling.
• Proficiency in SQL and databases (e.g., MySQL, PostgreSQL, MongoDB).
• Enough skills in Python or R for data analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Knowledge of data pre-processing techniques and feature engineering.
• Strong problem-solving skills and the ability to interpret complex datasets.
• Excellent communication and presentation skills.
• Ability to work both independently and collaboratively in a team environment.

Preferred Qualifications:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with Forex trading related field is a plus.
• Experience working in a business intelligence or analytics team.