Business Intelligence Engineer

– Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master’s degree is preferred.

Required experience: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Technical Proficiency:

– Advanced expertise in data visualization and statistical plotting using tools such as Power
– BI, Python, and Matlab.
– Strong command of SQL for querying, data modeling, and ETL development.
– Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
– Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
– Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

– Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
– Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
– Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Competencies:

– Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
– Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
– derive actionable insights that support strategic decision-making.
– Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
– queries for performance and scalability.
– Communication & Presentation: Excellent verbal and written communication skills, with the ability to present
complex data findings clearly and persuasively to both technical and non-technical stakeholders.
– Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
adaptable mindset in fast-paced environments.

Languages:

– English
– Arabic

Terms and conditions
Joining time frame: (15 – 30 days)

Email : nishanthini.suda@vinirma.com