Data/Business Analyst

">Data/Business Analyst

1-3 Years Bengaluru

• Data Analyst
• Business Analyst
• Python
• SQL
• PowerBI/Tableau

Role : Data/Business Analyst

Experience: 1-3 years

Work location: Bangalore

What do you need to have

• Bachelors degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field
• Minimum 1 yrs of core Analytics experience.
• Experience in analytics/data science or related field
• Hands-on experience on data manipulation tools like SQL, R, Python, Excel etc.
• Exposure to BI Platforms like Power BI, Tableau etc.
• Knowledge of basic statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing etc.)
• Basic knowledge of machine learning techniques like Regression, Classification etc.

What do we expect from you

• Creative and structured thinking to solve real-world problems
• Fail fast, learn faster approach
• Comfortable in a high-energy, fast-paced environment
• Proficient verbal and written communication skills
• Detail-oriented with the ability to self-direct work in an unstructured environment
• Excellent partnership and collaboration skills with the ability to work cross-functionally
• Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines

What will you work on

• Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed
• Monitor and forecast key business metrics regularly
• Conduct regular planning and reviews key performance metrics and aid in benefitting from change
• Identify the right metrics to track progress against a given business goal
• Design, run and measure experiments to test business hypotheses
• Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
• Develop compelling stories with business insights, focusing on the strategic goals of the organization
• Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness.

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