Post : Business Intelligence Officer

Level : Junior Officer to Senior Officer

Required No. : 1

About The Role

This is a full-time position, working in the Financial Institution, responsible for designing, developing, and implementing business intelligence solutions that transform complex data into actionable insights to support data-driven decision-making across the organization. This role requires hands-on experience in data analysis, visualization, and machine learning, along with close collaboration with cross-functional teams to drive strategic business outcomes.

Minimum Eligibility Criteria and Experience

Education

• Minimum Bachelor’s Degree in Data Science, Statistics, Computer Science or a related discipline, or an equivalent degree from a recognized University.
• A Master’s Degree in a related field will be preferred.

Age

• Not exceeding 35 years as of the final date of application submission.

Experience

• Proven experience in data analysis, business intelligence, or related roles, with at least 3 years of experience in a senior or leadership position.
• Minimum 3 years of professional experience in data analytics, with a focus on business intelligence, developing and implementing enterprise-scale reports and highly visual, intuitive dashboards.

Technical Proficiency

• Candidates should have strong command of SQL and programming languages such as Python (including libraries such as Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow) and/or R.
• Expertise in data visualization tools such as Tableau and Power BI (or equivalent platforms).
• Certification in Data Analytics, Business Intelligence, Artificial Intelligence or Machine Learning is an added advantage.

Key Roles and Responsibilities

• Lead the analysis of large and complex datasets to extract valuable insights, trends and patterns that inform business strategy and decision-making.
• Design, develop and maintain dashboards, reports, and KPIs to effectively communicate key metrics and performance indicators to stakeholders.
• Build, train, and optimize machine learning and statistical models aligned with the Bank’s objectives.
• Develop AI-driven banking solutions for personalized banking including AI agents, recommendation systems, and digital advisory tools.
• Implement and deploy Natural Language Processing (NLP) models as per business requirements.
• Conduct predictive analytics and time-series forecasting to forecast business outcomes, identify opportunities, and mitigate risks.
• Apply anomaly detection techniques to identify irregularities in business and operational data.
• Design and manage ETL pipelines for structured and unstructured data, ensuring high data quality and integrity.
• Work with big data platforms (e.g. PySpark, Hadoop, Apache Spark, Databricks) for analyzing large-scale customer behavior, churn, and transaction data.
• Continuously monitor and validate model performance ensuring regulatory compliance.
• Collaborate with cross-functional teams to gather requirements, define analytical priorities, and translate business needs into technical solutions.
• Provide support and guidance to junior members of the data analytics and business intelligence team.

Required Skills and Competencies

• Strong proficiency in data wrangling, normalization, predictive analytics, and anomaly detection.
• Effective communication and presentation skills to collaborate with cross-functional teams, including business users and operational teams. Essential to convey complex technical concepts and insights to non-technical stakeholders effectively.
• Strong leadership and team management abilities with a willingness to lead, create ideas, and be assertive.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to work effectively in a fast-paced, dynamic environment with multiple priorities and deadlines.
• Prior experience of Banking, familiarity with banking processes, risk management, and regulatory compliance will be an added advantage.
• Knowledge of cloud-based data platforms and big data technologies will be considered a plus.

Additional Information are as under

• The Bank reserves the right to reject any / all applications without assigning any reason whatsoever. Depending upon the number of applications received, the Bank may revise the minimum criteria as stated above and call only shortlisted candidates for further selection process.
• Only candidates getting through the initial screening will be contacted for further selection process. Canvassing at any stage of the processes shall lead to disqualification of the candidate for this vacancy and any future recruitment process.
• No Telephone queries will be entertained. Application received from any other medium other than the Bank's website shall be disqualified.
• The online submission of Application Form will close at 5:00 PM on 3 Mangshir, 2082.

Source : Machhapuchchhre Bank