Data Professional

5 days ago


Tiruppur, Tamil Nadu, India beBeeData Full time ₹ 12,31,940 - ₹ 25,13,881

Key Role: Data Analyst

We seek a skilled professional with expertise in data analysis and interpretation to drive business growth. The ideal candidate will possess strong analytical skills, effective communication abilities, and experience working with large datasets.

Responsibilities:

  • Data Collection & Analysis: Identify, acquire, and integrate structured and unstructured data from various sources, applying statistical techniques to uncover trends and insights.
  • Data Modeling & Visualization: Design predictive models, machine learning algorithms, and statistical analyses to optimize business outcomes, and develop data visualizations to communicate findings to stakeholders.
  • Data Management: Automate data collection, preprocessing, and cleaning processes to ensure accuracy and consistency, and implement databases, data pipelines, and analytics strategies for efficiency and scalability.
  • Collaboration & Decision-Making: Collaborate with cross-functional teams to develop and implement data-driven solutions, and provide insights to inform strategic decision-making.

Required Skills & Qualifications:

  • Proven Experience: 4–7+ years of experience as a Data Scientist, Data Analyst, or similar role, with a strong background in SQL, Python, R (Java/Scala/C++ knowledge a plus).
  • Data Mining & Statistical Analysis: Proficiency in data mining, statistical analysis, and predictive modeling, with hands-on experience with data visualization tools (Tableau, Power BI, Business Objects).
  • Big Data Frameworks & ETL: Familiarity with big data frameworks (Hadoop, Spark, Databricks) and ETL processes, with a strong understanding of database design and segmentation techniques.
  • Analytical Mindset & Communication Skills: Analytical mindset with strong problem-solving aptitude and business acumen, excellent communication, presentation, and storytelling skills.
  • Educational Background: Bachelor's degree in a relevant field (Statistics, Mathematics, Computer Science).

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