Offer summary

Qualifications:

Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field., 1.5 - 2.5 years of experience in analytics/data science or a related field., Hands-on experience with data manipulation tools like SQL, R, Python, and Excel., Basic knowledge of machine learning techniques and exposure to BI platforms like Power BI and Tableau..

Key responsibilities:

Work with large, complex data sets to solve business problems using advanced analytical methods.

Monitor and forecast key business metrics regularly and conduct planning reviews of performance metrics.

Identify the right metrics to track progress against business goals and design experiments to test hypotheses.

Collaborate with Business, Product, and Data engineering teams to improve data accuracy and instrumentation quality.

Job description

Role :Business Analyst

Experince :3+years

Location :Bangalore (remote working )

Type :Contract

What do you need to have?

Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field
1.5 - 2.5 years of 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 organisation
Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness

Required profile