Data Analyst Job in Quinbay

About Quinbay

Quinbay is an upstart digital platforms and products company with a core focus on disrupting traditional markets and business models with the strength of our innovation driven digital value. We harness the power of our open innovation culture, our unique talent selection approach, the skills and expertise of our people across various industries, domains and technologies and a unique blend of analytics driven strategies for creating future digital platforms.

Experience

• Minimum 3 years of data analysis experience.
• Demonstrable evidence of analysing and documenting complex business processes.
• Strong quantitative abilities, distinctive problem-solving and excellent analysis skills.
• Strong organizational, communication, presentation and project management skills
• Understanding of ecommerce/retail business a plus

Technical Skillset

• Advanced Excel & Macros
• SQL
• Python / R
• Data visualisation tools Tableau / Cognos / Qlik / similar

Qualification

• A Bachelor's/Master sdegree in Computer Science/Engineering (or equivalent experience)

Role of the position:

• Face of analytics and work as a partner to senior development, product management, and business unit leaders, process owners to identify, develop and drive key analytics and reporting projects relevant to the business.
• Collaborate with stakeholders (senior leaders in business, product, process, development domains) to define, develop, and monitor criticalbusiness metrics.
• Analyse and share business trends with reasoning with management teams.
• Exhibit deep data insights, as well as business model understanding, to create reporting and dashboards for business that un-earth issues/trends not easily spotted by business teams.
• Execute quantitative analysis that translates data from multiple systems into actionable insights.
• Drive data driven decision making culture across business teams.
• Research, review, and analyse the effectiveness and efficiency of existing requirements gathering processes and develop strategies for enhancing or further leveraging the processes.
• Make data driven decisions for future changes/enhancements in the product based on analysis of metrics.
• Dashboard development and generation for daily, weekly, monthly and all reporting needs.
• Data modelling and creation of both logical and physical data models for effective and efficient reporting and TAT on frequent requests.
• Work with product managers to understand requirements and translate them into statistical models.
• Coordinate with Development, Product Management, and business unitheads to measure the impact and efficiency of new products and business processes.