
IndustryBuying
Key Responsibilities:
Data Analysis & Reporting: Analyze large datasets to identify trends, anomalies, and provide actionable insights.
Data Manipulation: Use Python, R, SQL, Pandas, and NumPy to clean and preprocess data.
Data Visualization: Create visual reports and dashboards using Tableau, Power BI, Matlab, and Seaborn.
Database Management: Query and manage data with SQL (PostgreSQL) and NoSQL (MongoDB).
Collaboration: Work with product, engineering, and business teams to support data-driven strategies.
Problem Solving: Translate business challenges into data-driven solutions and recommend insights.
Continuous Learning: Stay up to date with emerging tools, techniques, and trends in data analysis.
Required Skills:
Proficiency in Python, R, SQL, and data wrangling tools (Pandas, NumPy).
Strong understanding of statistics and data visualization tools (Tableau, Matlab, Seaborn).
Experience with PostgreSQL, MongoDB, and general database management.
Ability to solve complex problems using data analysis techniques.
Nice to Have:
Experience with AI/ML and statistical modeling.
Familiarity with big data tools like Hadoop and Spark.
Why Join Us?
Competitive salary and benefits.
Opportunities for growth and innovation in a collaborative team.
A supportive culture that values continuous improvement.