Data /Business Analyst

Quarks Technosoft Pvt. Ltd.; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Top LinkedIn–rated employer

Exposure to challenging problems

Direct impact on decisions

Flat organization culture

Market-leading compensation and perks

Job summary

Quarks Technosoft Pvt. Ltd. seeks a data analytics professional in Bengaluru to work with large, complex data sets and apply advanced analytical methods to solve business problems.

You will monitor and forecast key metrics, design experiments, and build data-driven stories that inform strategic decisions. Ideal candidates have 1+ year analytics experience, knowledge of basic statistics and machine learning concepts, and strong communication skills.

Qualifications

• Minimum 1 yrs of core Analytics experience.
• Experience in analytics/data science or related field
• 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.

Responsibilities

• 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

Skills

Analytics

Statistics basics

Machine learning concepts

Education

Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field

Job description

• Excellent work environment - rated amongst LinkedIn’s - “Top Companies Where India wants to work now” list
• Exposure to challenging problems across multiple domains
• Ability to directly implement solutions and see them in action; critical partner for all decision-making in the organisation
• Interact with people from various backgrounds - a mix of Statisticians, Consultants, and Programmers
• Flat organization structure with open and direct culture 6. Merit-based fast-growth environment
• Market-leading compensation and benefits

What do you need to have?
Bachelor's 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
• 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