Data Analyst

YKB Logo
Computers/IT
Posted on 19 Sep, 2022
Closing on 03 Oct, 2022

Job Description

Job Title: Data Analyst
Job Location: Yemen Kuwait Bank, Sana’a, Yemen
Application Deadline: 03 October 2022

Job Summary

Yemen Kuwait Bank (YKB) is a leading financial services firm, helping Yemeni's individuals and businesses achieve their financial goals through a broad range of financial products. YKB is reliant upon the confidentiality, integrity, and availability of its data and information to successfully conduct its operations, meet customers and staff expectations, and provide services. This is why at the heart of our digital transformation is data as well as assembling the right team of people in Data & Analytics domain.
As part of the transformation, we are looking for talented Data Analyst (but not only, see other job postings) to join our newly formed Data & Analytics unit. Data is more than stats to our Data & Analytics team—it’s a story waiting to be told. You will be a key Member of the team that translate raw data into relevant and meaningful insights by using visualization and reporting tools such as Microsoft Power BI. You’re also a subject matter expert who enables bank business and support units to monitor business drivers and key performance indicators. Your responsibilities include designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value. 

Responsibilities

  • Work with business team to document the business requirements, anticipated benefits, success criteria for analytics initiatives.
  • Eagerness to learn about both the science and the business and identify opportunities to solve problems with data
  • Work with data engineer and IT team to determine and locate appropriate data sources that meet stakeholder requirements
  • Ingest, profile, clean and transform data from various data sources (structured and unstructured data)
  • Design and build scalable and effective data models to monitor business drivers and key performance indicators for different subject areas (cards, loans, deposits, investments, FX, etc.) and segments.
  • Bring data to life by designing and creating powerful reports that tell a compelling story, to enable business decision makers to quickly gain needed insights
  • Use advanced analytics capabilities to find insights, identify patterns and trends, predict outcomes, and then communicate those insights in a way that everyone can understand.
  • Management of Business Intelligence assets, including reports, dashboards, and the underlying datasets that are used in the reports
  • Work with the data engineer to identify new processes or improve existing processes for collecting data for analysis, data quality assessment, data cleansing and data analytics.
  • Preparation of technical documentation (vision of data product, data sources schema, data model and metric definitions); to ensure adequate data lineage, governance and compliance with information, security and other relevant policies.
  • Educate and empower business users at the bank to be more self-reliant for their data needs by creating reusable assets, including reports templates, and shared datasets and developing training content to enhance the Date Culture and Data Literacy. 

Knowledge Areas

  • Well-rounded experience in the whole data analysis process: requirements gathering, identify KPIs, data preparation, data modeling, developing visual reports, KPI scorecards, and dashboards; in financial services, customer analytics, or similar domains.
  • Fluency and practical experience with data visualization techniques, storytelling, and best practices, with deep skill in at least one visualization tool, ideally Power BI
  • Experience developing mobile dashboards and embedding dashboards in web applications
  • Experience querying databases of different vendors like, oracle, Microsoft, IBM DB2 etc. 
  • Sound knowledge of statistics, data profiling, data quality measurement and cleaning.
  • In-depth understanding of data warehouse design, online analytical processing (OLAP) and ETL framework
  • Python experience including familiarity with pandas, and visualization libraries such as Altair, seaborn or matplotlib is a plus
  • Experience with statistical methods like exploratory data analysis, hypothesis testing, is a plus
  • Some exposure to Power Apps and Power Automate development is advantageous
  • Experience of using code repository and version control software (e.g. Github, BitBucket, TFS, etc.)
  • Awareness of DevOps and CI/CD principles.
  • Good awareness of Big Data systems and cloud technologies, particularly Azure.

Experience

  • 4+ years of experience in a data-driven role
  • Minimum of 3 years of hands-on experience on Power BI.
  • Experience working with banking data is a plus

Education

  • Bachelor’s in Computer Science, Finance, Statistics or other relevant disciplines

Certification

  • Data Analyst Certifications will be added advantage (e.g. Power BI Data Analyst Associate, Associate Certified Analytics Professional (aCAP), Certified Analytics Professional (CAP) … etc.) 
  • Data related certifications on Azure or AWS will be good

Competencies

  • Complex Problem-Solving (Level 5): Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions. Using scientific rules and methods to solve problems.
  • Service Orientation (Level 4): Actively looking for ways to help others as well as to make them feel attended to and welcome. The ideal candidate will have a passionate commitment to improving the lives of people, an insane focus on excellence and customer service, and a strong alignment with our core values.
  • Critical Thinking and Analysis (Level 4): Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems as well as assessing performance of yourself, other individuals or organizations to make improvements or take corrective action.
  • Communication (Level 4): Communication is the ability to convey information in a way that others can understand. This includes conveying technical information in a way that non-technical employees can understand and vice versa. It also means communicating clearly about the positive effect their work has on business outcomes and help non-technical managers and executives understand what they do.
  • Coding (code quality) (Level 4): Optimises, challenges and follows the coding and documentation standards and takes ownership of features by specifying, designing and writing code and documentation. Continues to partner with and performs code reviews for peers and others.
  • Data APIs (Level 4): Interacting with data APIs is an essential skill for any data analyst. These days, the majority of tools and platforms have restful APIs—and you'll need to be able to interact with these services to build solutions.
  • Business/Domain Expertise (Level 3): Is able to fully understand the bank's business process in the various domains and to design related products. As a Data analyst you should be familiar with Financial Services data to deliver relevant and meaningful insights.
  • Analytical thinking and innovation (Level 3): Capacity to analyze information and use logic to address issues and problems, apply alternative thinking to develop new, original ideas and answers. 
  • Attention to detail, trustworthiness (Level 4): Dependability, commitment to doing the job correctly and carefully, being trustworthy, accountable and paying attentive to details.
  • Self-Development (Level 5): Actively seeks new ways to grow and be challenged using both formal and informal development channels. For example, shows commitment to own leadership development and encourages others to expand their expertise and skills; uses stretch opportunities to broaden capabilities aligned with organizational needs. 
  • Collaborates (Level 5): Builds partnerships and works collaboratively with others to meet shared objectives. For example, encourages coworkers and external partners to work together as a team, and makes sure they get credit for doing so. Encourages people to share their honest views, responds in a non-defensive way when they do.
  • English Language Proficiency (Level 4): Can understand the main ideas of complex text on both concrete and abstract topics, including technical discussions in his/her field of specialisation. Can interact with a degree of fluency and spontaneity that makes regular interaction with native speakers quite possible without strain for either party. Can produce clear, detailed text on a wide range of subjects and explain a viewpoint on a topical issue giving the advantages and disadvantages of various options.

Important Notes / مقترحات هامة

Following the instructions on How to apply will always increase your chances of getting your application looked at.
إتباع تعليمات التقديم المذكورة في كل إعلان ستزيد من فرصة النظر لسيرتك الذاتية من قبل الجهة المعلنة
If you’re applying by email, make sure you mention the job title in the “Subject” field of your message
تذكر أن تكتب إسم الوظيفة و موقعها في عنوان البريد عندما يكون التقديم عبر الإيميل