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Data Analysis Trainer
7 days ago
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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