- Location
- Gurgaon, Haryana, India
- Job type
- Full-time
Required skills
- Python
- Power BI
- Business Intelligence
- clustering
- communication skills
- data science
- data visualization
- development life cycle
- DevOps
- machine learning
- regression
- SQL
- software development life cycle
About the role
Promaynov Advisory Services Pvt. Ltd
Website:
promaynov.com
Job details:
Please Find The Below Details
Role : Senior Associate : Business Intelligence Unit
Location : Gurgaon
Mode : Hybrid
Key Responsibilities
- Collect, clean, and transform data from multiple sources into meaningful insights using tools such as Power BI, Python, and SQL
- Develop and maintain dashboards, reports, and data visualization solutions
- Conduct data analysis to identify opportunities for efficiency improvement, cost reduction, revenue growth, and risk mitigation
- Apply statistical techniques (e.g., regression, clustering, hypothesis testing) to solve business problems
- Collaborate with business and IT teams to design and implement tools that enhance processes and enable data-driven decision-making
- Present findings and recommendations to stakeholders through clear, concise communication and visualizations
- Contribute to the development of management information systems (MIS) and reporting frameworks
- Stay updated on emerging trends in data science, machine learning, and AI, and apply them where relevant
Desired Skills
- Excellent problem-solving abilities with attention to detail.
- A strong knowledge of SQL and experience working with relational databases.
- Understanding of the Software Development Life Cycle and DevOps processes.
- Experience conducting User-Centred Design.
- A solid understanding of statistical concepts and techniques, such as regression, clustering, and hypothesis testing.
- Strong communication skills, both written and verbal, with the ability to effectively communicate technical concepts to non-technical stakeholders.
- An entrepreneurial spirit; not afraid to challenge the status-quo.
Necessary Skills And Qualifications
- Bachelor’s degree from an accredited university or equivalent work experience
- Experience in utilising data to solve business/financial problems
- Experience in SQL and/or another coding language (Python, R)
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