Senior Business Intelligence Analyst

,

,

• . No CSS classes, no inline styles, no
  , no
  . Must preserve all original content word-for-word, no addition, removal, summarizing, rephrasing. So we need to parse the given raw text (which includes HTML tags like

  ,
  ,   etc.) and produce cleaned HTML. But we must preserve original content word-for-word. However we are to format as clean semantic HTML: we can replace the given markup with appropriate tags, but must keep the text content exactly as originally (including spaces? Probably we should keep the textual content, ignoring extra spaces   etc. But we must preserve content word-for-word: meaning we cannot change any characters of the actual job description text. However we can change formatting tags (like replace
  with appropriate tags). The instruction: "Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase". That means the textual content (the visible characters) must stay same. We can change HTML tags but not the text. Thus we need to extract the text from the given snippet, ignoring the original HTML tags, then output new HTML with proper tags. But we must be careful: The original includes   entities, which represent spaces. Should we preserve them as spaces? Probably yes, but we can convert them to normal spaces. That would be altering content? The entity   is a non-breaking space; converting to regular space changes the character but likely acceptable? The instruction says preserve original content word-for-word; but converting   to a space changes the character code. However typical interpretation: we should keep the textual meaning, not the exact encoding. Safer to keep spaces as normal spaces. We also need to remove extra blank lines. We need to identify sections: The text includes headings like "GENERAL JOB INFORMATION", "JOB PURPOSE", "JOB CONTEXT", "KEY RESPONSIBILITIES", "JOB PROFILE", "Skills, Capabilities & Direct attributes". Also within KEY RESPONSIBILITIES there are subheadings "Strategically" and "Tactically and Operationally". Those could be treated as subheadings? The instruction says use

  for section headers (e.g. Responsibilities, Qualifications, Requirements, Education, Experience, Skills, How to Apply, Key Duties, About the Role). So we should treat each major heading as

  . Subheadings like "Strategically" maybe also as

  ? But they are not in the list; but we could still treat them as

  if they are headings. However the instruction: "Use

  for section headers (e.g. Responsibilities, Qualifications, Requirements, Education, Experience, Skills, How to Apply, Key Duties, About the Role)". It doesn't forbid using for other headings. So we can use

  for any heading line. Thus we will produce:

  GENERAL JOB INFORMATION

  Job Title: Senior Business Intelligence Analyst

  Organization/ Department: Group Technology

  Reports to: Lead Business Analysis & Demand Management

  Salary Grade/ Band: 4C

  But note original had extra spaces and  . We'll normalize. Then

  JOB PURPOSE

  with paragraphs. Then

  JOB CONTEXT

  Then

  KEY RESPONSIBILITIES

  Within responsibilities, there are bullet points preceded by •. We need to convert each bullet line to
• . Also there are subheadings "Strategically" and "Tactically and Operationally". Those could be

  inside the responsibilities section? Or we could keep them as plain text? Probably treat them as

  as well. Thus after

  KEY RESPONSIBILITIES

  , we have:

  Strategically

  • Working with business unit leaders to identify areas of opportunity within the business to leverage analytics.
  ...
  Then

  Tactically and Operationally

  ...
  Then

  JOB PROFILE

  Within JOB PROFILE there is a paragraph about Experience & Qualifications, then bullet list with technical competencies. Also there is a line "Experience & Qualifications" maybe as a heading? Actually the text: "Experience & Qualifications
  Technical competencies below indicate the minimum required proficiency level for this role (Novice / Beginner / Proficient / Expert), per the Data & Analytics Competency Framework." Then bullet list. We could treat "Experience & Qualifications" as a

  inside JOB PROFILE? But JOB PROFILE is already a heading. Might be okay to keep as a paragraph. Then after bullet list, there is "Skills, Capabilities & Direct attributes" heading. That should be

  . Then bullet list for behavioral and leadership competencies. Then there is a quote about Ecobank commitment. That is within a with italic. We need to preserve the text exactly, including the quotation marks and italic? The instruction says preserve content word-for-word, but we can't use because we are not allowed to use inline styles? Actually we can use tag? The rules only restrict use of

  ,
  , CSS classes, inline styles. They didn't forbid or . So we can keep italic via . However we must not add any extra content. The original had inside a span with style. We can replace with and keep the text. Thus after the skills list, we have a paragraph containing the quote. We'll wrap that in

  Ecobank is committed ...

  . We must ensure we don't add any extra text not present. Let's extract the exact text. Let's manually copy the text from the snippet, ignoring tags. I'll rewrite the content: GENERAL JOB INFORMATION Job Title: Senior Business Intelligence Analyst Organization/ Department: Group Technology Reports to: Lead Business Analysis & Demand Management Salary Grade/ Band: 4C JOB PURPOSE The Senior Business Analyst, also referred to as Senior Business Intelligence Analyst will be part of a high-calibre data team supporting senior management through financial & strategic planning and metrics monitoring as well as internal and external benchmarking. The position will be responsible for partnering with various businesses and functional units to collect analyze and transform data into meaningful and effective presentations for senior management as well as group executives. JOB CONTEXT This position requires excellent interpersonal skills with the ability to build and maintain key relationships and capable of working with team members, clients, and senior executives - effectively communicating with them at their level of analytical/technical understanding. Design, plan and oversee self-audits of processes and systems, interpret results, and recommend improvements. KEY RESPONSIBILITIES Strategically • Working with business unit leaders to identify areas of opportunity within the business to leverage analytics. • Building advanced analytical capabilities to improve business decisions and actions within Group Technology • Harvest data to create information that enables differentiation of service and products. • Provide proactive, real-time analytics to anticipate and enhance the customer’s experience and decision-making capabilities. • Oversee and assist with the coordination of the team’s workload management portal with the objective of maintaining constant transparency in the delivery status of our tasks. Tactically and Operationally • Leveraging SQL, data mining, data manipulation and statistical analysis (Python/R) to solve business problems, create opportunities, and identify potential analytic strategies. • Translating high-level operational businesses needs appropriate intermediate or complex analysis to be actionable. • Implementing analytical initiatives that deliver tangible process, product, people and/or technology improvements. • Building and optimizing Power BI dashboards and self-service reports and applying advanced analytics and statistical techniques to optimize business results and client satisfaction. • Presenting recommendations to management and business partners (including business implications) and determining how to best summarize and visualize the results. • Prepare monthly reviews in partnership with the organization’s Lead Finance Officers teams through insightful analysis of business performance • Develop ad-hoc analytics on themes that arise at senior management’s request and/or through proactive research of potential issues • Coordinate and partner with business team to construct the monthly reports and annual plan in alignment with the strategy of the business; ensure data integrity and process flows are fully adhered to • Partner with other analysts to design sound data models and star schemas, uphold data quality and testing standards, and drive efficiencies that enhance analytical prowess • Provide relevant test scenarios for the testing team. Work with test team to develop system integration test scripts and ensure the testing results correspond to the business expectations JOB PROFILE Experience & Qualifications Technical competencies below indicate the minimum required proficiency level for this role (Novice / Beginner / Proficient / Expert), per the Data & Analytics Competency Framework. • Minimum 7 years demonstrated experience leveraging analytics and data analysis to deliver tangible business improvements with at least 5 years in financial services • SQL & Database Management (Proficient) – able to independently design, query and manage relational databases (SQL Server, Oracle, MySQL) for accurate storage, retrieval and reporting • Bachelor’s degree in economics, Finance, Accounting or related discipline • Data Warehousing & ETL/ELT (Beginner) – working knowledge of building data-integration pipelines to consolidate and transform diverse data sources • Big Data & Cloud Platforms – Azure, Spark (Beginner) – foundational understanding of cloud and large-scale data platforms, including data-governance and security controls • Data Modelling & Star Schema Design (Proficient) – able to structure data using dimensional/star-schema design for effective reporting and query performance • Data Visualization – Power BI, Tableau (Proficient) – able to build meaningful dashboards and reports that communicate insight and drive decisions with Databricks / Power BI / Tableau exposure a plus • Programming & Scripting – Python/R (Beginner) – basic ability to write and optimize scripts for data processing and automation; Databricks/Tableau exposure a plus • Data Quality, Profiling & Testing (Proficient) – able to assess, validate and ensure dataset accuracy, provide test scenarios and support reliable reporting • Statistical Modelling & Analysis (Proficient) – able to apply statistical methods to interpret data and support evidence-based decision-making • Innovation & Solution Design (Proficient) – able to design creative, forward-looking data solutions that address business challenges and improve processes • Machine Learning & AI (Beginner) – foundational awareness of predictive modelling and AI concepts to support advanced, data-driven analytics Skills, Capabilities & Direct attributes Behavioral and leadership competencies are required at Proficient level for this role, per the Data & Analytics Competency Framework. • Communication & Data Storytelling (Proficient) – superb presentation skills, able to translate complex financial schedules into meaningful, audience-appropriate narratives and synthesize quantitative and qualitative data to draw conclusions and drive decisions • Decision Making & Accountability (Proficient) – strong decision-making capability, able to identify problems, propose solutions, own outcomes and influence change • Stakeholder Management & Influence (Proficient) – able to engage and positively influence colleagues, other departments and senior management to align analytics priorities with business needs • Analytical Thinking & Problem Solving (Proficient) – detail-oriented, able to break down complex problems systematically, with strong issue-resolution, time-management and organizational skills • Project Delivery & Execution (Proficient) – able to plan, manage and deliver multiple projects on time and within scope, with accountability across teams • Business & Financial Acumen (Proficient) – sound understanding of business processes, KPIs and financial principles to keep analytics relevant, actionable and value-driven • Adaptability & Continuous Learning (Proficient) – embraces change and proactively acquires new skills in evolving data technologies and business needs • Must have ability to handle confidential data • Customer Service Orientation (Proficient) – understands and prioritizes stakeholder needs to deliver timely, accurate and relevant data solutions • Collaboration & Teamwork (Proficient) – self-motivated team player, able to work effectively across cross-functional teams, sharing knowledge to support shared goals • Mentorship & Knowledge Sharing (Proficient) – able to guide, coach and transfer knowledge to colleagues, supporting capability-building and stronger team development “Ecobank is committed to providing equal opportunities to all and fostering an inclusive and diverse workplace. To this end, we encourage applications from individuals regardless of their nationality, race, gender, age, social class, religion, beliefs, and disability while fully adhering to the local laws and regulations established where Ecobank operates.” Note there were opening and closing quotes with curly quotes. We need to preserve them exactly. The original had “ and ”. Thus final HTML:

  GENERAL JOB INFORMATION

  Job Title: Senior Business Intelligence Analyst

  Organization/ Department: Group Technology

  Reports to: Lead Business Analysis & Demand Management

  Salary Grade/ Band: 4C

  JOB PURPOSE

  The Senior Business Analyst, also referred to as Senior Business Intelligence Analyst will be part of a high-calibre data team supporting senior management through financial & strategic planning and metrics monitoring as well as internal and external benchmarking.

  The position will be responsible for partnering with various businesses and functional units to collect analyze and transform data into meaningful and effective presentations for senior management as well as group executives.

  JOB CONTEXT

  This position requires excellent interpersonal skills with the ability to build and maintain key relationships and capable of working with team members, clients, and senior executives - effectively communicating with them at their level of analytical/technical understanding.

  Design, plan and oversee self-audits of processes and systems, interpret results, and recommend improvements.

  KEY RESPONSIBILITIES

  Strategically

  • Working with business unit leaders to identify areas of opportunity within the business to leverage analytics.
  • Building advanced analytical capabilities to improve business decisions and actions within Group Technology
  • Harvest data to create information that enables differentiation of service and products.
  • Provide proactive, real-time analytics to anticipate and enhance the customer’s experience and decision-making capabilities.
  • Oversee and assist with the coordination of the team’s workload management portal with the objective of maintaining constant transparency in the delivery status of our tasks.

  Tactically and Operationally

  • Leveraging SQL, data mining, data manipulation and statistical analysis (Python/R) to solve business problems, create opportunities, and identify potential analytic strategies.
  • Translating high-level operational businesses needs appropriate intermediate or complex analysis to be actionable.
  • Implementing analytical initiatives that deliver tangible process, product, people and/or technology improvements.
  • Building and optimizing Power BI dashboards and self-service reports and applying advanced analytics and statistical techniques to optimize business results and client satisfaction.
  • Presenting recommendations to management and business partners (including business implications) and determining how to best summarize and visualize the results.
  • Prepare monthly reviews in partnership with the organization’s Lead Finance Officers teams through insightful analysis of business performance
  • Develop ad-hoc analytics on themes that arise at senior management’s request and/or through proactive research of potential issues
  • Coordinate and partner with business team to construct the monthly reports and annual plan in alignment with the strategy of the business; ensure data integrity and process flows are fully adhered to
  • Partner with other analysts to design sound data models and star schemas, uphold data quality and testing standards, and drive efficiencies that enhance analytical prowess
  • Provide relevant test scenarios for the testing team. Work with test team to develop system integration test scripts and ensure the testing results correspond to the business expectations

  JOB PROFILE

  Experience & Qualifications

  Technical competencies below indicate the minimum required proficiency level for this role (Novice / Beginner / Proficient / Expert), per the Data & Analytics Competency Framework.

  • Minimum 7 years demonstrated experience leveraging analytics and data analysis to deliver tangible business improvements with at least 5 years in financial services
  • SQL & Database Management (Proficient) – able to independently design, query and manage relational databases (SQL Server, Oracle, MySQL) for accurate storage, retrieval and reporting
  • Bachelor’s degree in economics, Finance, Accounting or related discipline
  • Data Warehousing & ETL/ELT (Beginner) – working knowledge of building data-integration pipelines to consolidate and transform diverse data sources
  • Big Data & Cloud Platforms – Azure, Spark (Beginner) – foundational understanding of cloud and large-scale data platforms, including data-governance and security controls
  • Data Modelling & Star Schema Design (Proficient) – able to structure data using dimensional/star-schema design for effective reporting and query performance
  • Data Visualization – Power BI, Tableau (Proficient) – able to build meaningful dashboards and reports that communicate insight and drive decisions with Databricks / Power BI / Tableau exposure a plus
  • Programming & Scripting – Python/R (Beginner) – basic ability to write and optimize scripts for data processing and automation; Databricks/Tableau exposure a plus
  • Data Quality, Profiling & Testing (Proficient) – able to assess, validate and ensure dataset accuracy, provide test scenarios and support reliable reporting
  • Statistical Modelling & Analysis (Proficient) – able to apply statistical methods to interpret data and support evidence-based decision-making
  • Innovation & Solution Design (Proficient) – able to design creative, forward-looking data solutions that address business challenges and improve processes
  • Machine Learning & AI (Beginner) – foundational awareness of predictive modelling and AI concepts to support advanced, data-driven analytics

  Skills, Capabilities & Direct attributes

  Behavioral and leadership competencies are required at Proficient level