BI / Data Lead
منذ 19 ساعات
source : tanqeeb

Role Objective

The incumbent will be charged with the overall responsibility to design, develop and deploy management reports, dashboards and business intelligence solutions to fulfill business needs / to enhance the decision making capabilities of the DB management cadre.

The incumbent will lead the gathering and analysis of information / data, through the design, development, and implementation of systems, database and data architecture, within the frame work of the policies and procedures set by the Bank / regulatory guidelines.

In addition, he / she will contribute towards and work closely with the relevant stakeholders in in bank-wide data quality management and data migration and integration projects.

Detailed Roles and Responsibilities


  • Work closely with the HOD in the development of the Business Intelligence plan / framework for the Bank-wide functions.
  • Contribute towards setting goals, objectives and performance metrics for the Business Intelligence function.
  • Contribute towards the implementation of BI function’s strategy in coordination with the HOD, in line with Bank’s overall vision.
  • Develop and maintain robust working relationships with internal / external stakeholders to facilitate and capitalize on functional / operational / strategic needs.
  • Operational

  • Manage the Business Intelligence unit.
  • Support the team in analyzing / interpreting business intelligence needs of the internal customer at both organisational and functional level, and determine optimum BI solutions.
  • Review and rationalize new data requirements raised by the internal customers to avoid data repetition.
  • Undertake detailed data analysis and modelling, in support of the business requirements, and prepare reports outlining relevant business information.
  • Work closely with the IT system in review of test plans and monitor testing process to ensure that business results are as per the requirements raised.
  • Ensure prompt maintenance of the quality of metadata depository through addition, removal, and / or revision of data, as applicable.
  • Ensure team members transform the business requirements into programs and processes to deliver high quality information deliverables, for example analysis, management information reporting, data extracts, and campaign files in both a regularly scheduled and ad hoc manner.
  • Formulate queries for the extraction of reports from Business Objects and provide daily dashboard comprising of daily, monthly and yearly movements of products.
  • Make recommendations and drive towards consensus regarding the appropriate data sources, business rules, and end product content or format and delivery mechanisms to meet requirements.
  • Manages databases from the download of raw data from the host systems to department systems. Analyze the utilization of downloaded data and reports to determine the feasibility of complete automation of reporting.
  • Construct explanatory Visualizations with the help of relevant BI tools
  • Work closely with the Information Technology and operating divisions, on implementation of long-range and short-range plans, including but not limited to testing upgrades, software maintenance, system compatibility etc.
  • Contribute towards defining measurements for promotions during promotional period, based on data availability.
  • Review and provide data on profitability of products, based on data availability.
  • Work cross functionally in collective business analysis activities to gather required analytics, and reporting requirements from the respective departments that cater to BI Unit.
  • Provide appropriate templates and suggestions for efficient data entry by the respective units that cater to BI Unit.
  • Oversee, and review the development of analysis reports / consolidation of data for various HO / external presentations, as directed by management team.
  • Research best practices, and review present systems to identify opportunities to improve delivery of BI insights to business stakeholders, and suggest appropriate changes to effect improvement to the BI unit.
  • Contribute towards the data migration and integration projects, including but not limited to project plan formulation, risk identification / mitigation, implementation, and in execution of post-project evaluation through relevant data metrics.
  • Work cross-functionally in constant improvement of data management systems, outlining an inclusive data migration / integration approach in terms of data clean up, quality control / management and preservation.
  • Maintain and utilize business intelligence and reporting tools necessary for supporting multiple business lines and their reporting needs.
  • Work with the respective units to comprehend and cater to the relevant external reporting requirements, in a timely manner.
  • Comply with governance requirements, and data protection regulations for analysis, reporting and Quality audits including but not limited to data integrity and accuracy.
  • Follow the audit, compliance and procedural control measures set by the management.
  • Maintain highest standards of confidentiality, professional conduct, ethics and integrity in the provision of services in the unit.
  • Educational Qualifications

  • University graduate with a degree in Mathematics or Statistics or Business or Banking or Finance or any other related discipline.
  • Master’s degree in Management any other related discipline will be an added advantage.
  • Experience / Skills

    08-12 years of total experience in financial services / banking industry, entailing responsibilities pertaining to the specific area of discipline.

    Significant experience in MIS / BIU role, on a supervisory level.

    Experience in MIS / BIU role.

    Experience in predictive analytics

    Experience in analyzing and designing BI applications.

    Experience with data quality, extraction / validation tools pertaining to data migration projects.

    Proficiency in SPSS / SAS and other statistical packages / tools

    Knowledge of Customer Relationship Management (CRM), business analysis and data analytics

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