Data Insights Specialist

2 days ago

Nashik, Maharashtra, India beBeeDataAnalyst Full time ₹ 18,00,000 - ₹ 25,00,000
Job Title: Data Analyst

We are seeking a skilled professional to join our team as a Data Analyst. This role requires experience in analyzing large datasets, identifying patterns, and implementing predictive models.

This is an exciting opportunity for someone who enjoys working with data and is passionate about extracting insights from it.

Key Responsibilities:
  • Data Acquisition and Integration: Identify, acquire, and integrate structured & unstructured data from diverse sources.
  • Data Processing and Automation: Automate data collection, preprocessing, and cleaning processes for accuracy and consistency.
  • Analysis and Insights: Analyze large, complex datasets to uncover patterns, trends, and actionable business insights.
  • Predictive Modeling: Design and implement predictive models, machine learning algorithms, and statistical analyses.
  • Database Optimization: Develop and optimize databases, data pipelines, and analytics strategies for efficiency and scalability.
  • Visualization and Communication: Build dashboards, reports, and data visualizations to communicate insights to stakeholders.
  • Collaboration and Innovation: Collaborate with engineering, product, and business teams to implement data-driven solutions.
  • Process Improvement: Define new opportunities for process improvements and data-driven decision-making.
  • Model Deployment: Deploy and monitor analytical models in production, ensuring continuous optimization.
Requirements & Skills:
  • Experience: Proven experience as a Data Scientist, Data Analyst, or similar role (4–7+ years preferred).
  • Programming Skills: Strong expertise in SQL, Python, R (knowledge of Java/Scala/C++ is a plus).
  • Data Analysis: Proficiency in data mining, statistical analysis, and predictive modeling.
  • Tools: Hands-on experience with data visualization tools (Tableau, Power BI, Business Objects).
  • Big Data Frameworks: Familiarity with big data frameworks (Hadoop, Spark, Databricks, etc.) and ETL processes.
  • Mathematics and Statistics: Strong knowledge of statistics, mathematics, and operations research.
  • Segmentation Techniques: Skilled in data modeling, database design, and segmentation techniques.
  • Aptitude and Acumen: Analytical mindset with strong problem-solving aptitude and business acumen.
  • Communication: Excellent communication, presentation, and storytelling skills.
  • Educational Background: Educational background: Bachelor's

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