Data Analyst

Cloth software company

Data Analyst

Jobdost

Company

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Data Analyst

at Cloth software company

Agency job

via Jobdost

1 - 3 yrs

₹1L - ₹6L / yr

Delhi

Skills

SQL

Data Analytics

What you will do:

Understand the process of CaaStle business teams, KPIs, and pain points
Build scalable data products, self-service tools, data cubes to analyze and present data associated with acquisition, retention, product performance, operations, client services, etc.
Closely partner with data engineering, product, and business teams and participate in requirements capture, research design, data collection, dashboard generation, and translation of results into actionable insights that can add value for business stakeholders
Leverage advanced analytics to drive key success metrics for business and revenue generation
Operationalize, implement, and automate changes to drive data-driven decisions
Attend and play an active role in answering questions from the executive and/or business teams through data mining and analysis

We would love for you to have:

Education: Advanced degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics or related field is required
Experience: 2-4 years of professional experience
Proficiency in data visualization/reporting tools (i.e. Tableau, Qlikview, etc.)
Experience in A/B testing and measure performance of experiments
Strong proficiency with SQL-based languages. Experience with large scale data analytics technologies (i.e., Hadoop and Spark)
Strong analytical skills and business mindset with the ability to translate complex concepts and analysis into clear and concise takeaways to drive insights and strategies
Excellent communication, social, and presentation skills with meticulous attention to detail
Programming experience in Python, R, or other languages
Knowledge of Data mining, statistical modeling approaches, and techniques

CaaStle is committed to equality of opportunity in employment. It has been and will continue to be the policy of CaaStle to provide full and equal employment opportunities to all employees and candidates for employment without regard to race, color, religion, national or ethnic origin, veteran status, age, sexual orientation, gender identity, or physical or mental disability. This policy applies to all terms, conditions and privileges of employment, such as those pertaining to training, transfer, promotion, compensation and recreational programs.

What you will do:

Understand the process of CaaStle business teams, KPIs, and pain points
Build scalable data products, self-service tools, data cubes to analyze and present data associated with acquisition, retention, product performance, operations, client services, etc.
Closely partner with data engineering, product, and business teams and participate in requirements capture, research design, data collection, dashboard generation, and translation of results into actionable insights that can add value for business stakeholders
Leverage advanced analytics to drive key success metrics for business and revenue generation
Operationalize, implement, and automate changes to drive data-driven decisions
Attend and play an active role in answering questions from the executive and/or business teams through data mining and analysis

We would love for you to have:

Education: Advanced degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics or related field is required
Experience: 2-4 years of professional experience
Proficiency in data visualization/reporting tools (i.e. Tableau, Qlikview, etc.)
Experience in A/B testing and measure performance of experiments
Strong proficiency with SQL-based languages. Experience with large scale data analytics technologies (i.e., Hadoop and Spark)
Strong analytical skills and business mindset with the ability to translate complex concepts and analysis into clear and concise takeaways to drive insights and strategies
Excellent communication, social, and presentation skills with meticulous attention to detail
Programming experience in Python, R, or other languages
Knowledge of Data mining, statistical modeling approaches, and techniques

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