Data Analysis Trainer

7 days ago


Delhi, Delhi, India Aspirevision tech education pvt. Ltd Full time

Key Responsibilities:

  • Perform data analysis on large and complex datasets to identify trends, patterns, and opportunities for process optimization and business growth.
  • Develop and maintain data models, dashboards, and reports using tools such as SQL, Excel, Tableau, Power BI, or other relevant data visualization tools.
  • Work closely with business stakeholders to understand their requirements and translate them into datadriven solutions.
  • Design and execute A/B tests and experiments to evaluate the effectiveness of business strategies and provide databacked recommendations.
  • Collaborate with data engineering teams to ensure data quality, integrity, and consistency across different data sources.
  • Provide insights and analytical support for strategic decisionmaking, resource allocation, and performance evaluation.
  • Monitor key performance indicators (KPIs) and generate periodic reports to track business performance and identify areas for improvement.
  • Conduct adhoc data analysis and create datadriven presentations for various business functions and executive leadership.
  • Mentor and guide junior data analysts in best practices for data analysis, visualization, and interpretation.

Qualifications and Experience:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
  • Minimum of 7 years of professional experience as a Data Analyst, Business Analyst, or a similar role, preferably in a dataintensive industry or technologydriven environment.
  • Proven expertise in data manipulation and querying using SQL, along with proficiency in data visualization tools such as Tableau, Power BI, or similar.
  • Strong analytical and problemsolving skills, with the ability to extract insights from complex and unstructured datasets.
  • Familiarity with statistical methods and data analysis techniques (e.g., regression analysis, hypothesis testing) is highly desirable.
  • Experience in working with big data technologies (e.g., Hadoop, Spark) and programming languages (Python, R) will be an advantage.
  • Excellent communication skills, with the ability to present technical information to nontechnical audiences effectively.
  • Strong business acumen and the ability to link data analysis to realworld business implications.

Job Types:
Full-time, Part-time

Part-time hours: 8 per week

Salary:
₹5, ₹8,000.00 per day

Schedule:

  • Day shift

Ability to commute/relocate:

  • Delhi, Delhi: Reliably commute or planning to relocate before starting work (preferred)

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