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Senior Data Analyst

2 weeks ago


Mohali, Punjab, India beBeeDataDriven Full time ₹ 20,000 - ₹ 30,000
Job Description:

We are seeking an experienced and analytical Senior Data Entry/Analyst to drive business growth through data analysis.

The ideal candidate will have a strong background in data analytics, excellent problem-solving skills, and the ability to work with large datasets.

Key Responsibilities:

  • Ensure data accuracy and integrity by adhering to regulatory compliance standards.
  • Design scalable data models, reports, and dashboards to support business functions.
  • Collaborate with cross-functional teams to understand their data needs and provide analytical support.
  • Identify opportunities for process improvement and data optimization.
  • Mentor junior data analysts and promote best practices in data analysis.
  • Develop and execute data-driven campaigns to boost sales and brand awareness.
  • Monitor metrics, derive insights, and refine strategies for success.

Requirements:

  • Expertise in keyword research, campaign optimization, and analytics.
  • Strong understanding of e-commerce best practices.
  • Exceptional problem-solving and interpersonal skills.
  • Proficiency in crafting persuasive content.
  • Strong proficiency in SQL for data extraction and manipulation.
  • Experience with statistical analysis and modeling techniques.
  • Familiarity with programming languages for data analysis.
  • Excellent communication and presentation skills.
Required Skills & Qualifications:

Data Analysis:

  • Expert-level knowledge of data analysis tools and techniques.
  • Ability to extract insights from large datasets.
  • Proficiency in data visualization tools.

eCommerce Best Practices:

  • Strong understanding of Amazon's marketplace policies.
  • Knowledge of e-commerce industry trends.

Communication & Collaboration:

  • Excellent written and verbal communication skills.
  • Able to effectively collaborate with cross-functional teams.
Benefits:

Professional Development:

  • Ongoing training and education opportunities.
  • Regular feedback and coaching.

Work Environment:

  • Dynamic and supportive work environment.
  • Flexible working hours.