Business Insights Specialist

1 week ago

Bengaluru, Karnataka, India beBeeDataAnalysis Full time ₹ 8,00,000 - ₹ 12,00,000

Job Overview

  • Extraction of valuable insights from complex datasets enables businesses to make informed decisions.

Key Responsibilities:

  • Identification, acquisition, and integration of structured & unstructured data from diverse sources is crucial.
  • Data collection, preprocessing, and cleaning processes must be automated for accuracy and consistency.
  • Analyzing large, complex datasets uncovers patterns, trends, and actionable business insights.
  • Predictive models, machine learning algorithms, and statistical analyses are designed and implemented.
  • Databases, data pipelines, and analytics strategies are developed and optimized for efficiency and scalability.
  • Dashboards, reports, and data visualizations communicate insights to stakeholders.
  • Collaboration with engineering, product, and business teams implements data-driven solutions.
  • Defining opportunities for process improvements and data-driven decision-making drives success.
  • Analytical models are deployed and monitored in production for continuous optimization.

Requirements and Skills:

  • Proven experience as a Data Analyst or similar role (4–7+ years preferred).
  • Strong expertise in SQL, Python, R (knowledge of Java/Scala/C++ is a plus).
  • Proficiency in data mining, statistical analysis, and predictive modeling is required.
  • Familiarity with big data frameworks and ETL processes is necessary.
  • Strong knowledge of statistics, mathematics, and operations research is essential.
  • Skilled in data modeling, database design, and segmentation techniques.
  • Analytical mindset with strong problem-solving aptitude and business acumen.
  • Excellent communication, presentation, and storytelling skills are necessary.

Benefits and Opportunities:

  • Personal and professional growth opportunities drive employee engagement and satisfaction.
  • Open communication fosters collaboration and innovation among team members.

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