Senior Analyst, IS Data & Analytics

Senior Analyst, IS Data & Analytics

Ref:SAISDA 26

Job Overview

Lead the technical delivery and ongoing improvement of business intelligence and data solutions, from connecting to source systems and developing ETL processes and data models through to reporting and analysis. Work with stakeholders to understand business requirements and deliver accurate, reliable information that supports decision-making.

Take responsibility for the quality, performance and security of BI processes and services, resolve complex issues, and support automation and improvements across related Information Systems functions. Provide technical guidance, review work and mentor colleagues.

Lead the development of the data science and data storage strategy, translating business needs into practical plans for data integration, warehousing and analytics.

Role & Responsibilities

• To be a subject matter expert, in relation to data science and business intelligence:
  • To operationally maintain and continuously improve the functions within technical remit.
    • Dimension in line with business requirements, including growth and sparing.
    • Apply best practices as defined by standardisation committees, industry bodies and vendors.
    • Track vendors’ technology evolutions and
  • To participate in the planning, development, design, engineering, architecture, integration, testing, acceptance, optimisation, and implementation activities within technical remit.
  • To be responsible for the quality and performance of all functions within technical remit.
  • To coordinate and assure security aspects of all functions within technical remit.
  • To make good customer-initiated complaints and defects within committed service levels.
  • To participate in the delivery of projects within specific remit.
  • To be responsible for drafting, collating, and maintaining a repository of documentation in relation to specific remit.
• To be a generalist, across all areas of technology, infrastructure, software or services within the technical function:
  • To carry out functions, competently and diligently, as detailed, in 1 a, 1 b, 1 c, 1 d, 1 e and 1 f.
  • To contribute to the drafting, collating, and maintaining of a repository of documentation in relation to specific remit.
• To execute multi-year roadmaps that align to the technical strategy and business objectives.
• To develop within the specific area of technology, infrastructure, software or services, as determined by the Company.
  • To keep oneself abreast of developments within the industry. Including, participating in standardisation committees, vendor, and industry forums.
  • To develop and maintain one’s knowledge and skills, in respect to the technical function.
• To comply with standards, policies, and procedures.
• To support operational counterparts in relation to the specific remit of technology and/or infrastructure.
• To support sales and marketing counterparts in relation to the specific remit of technology and/or infrastructure:
  • To assist with a pre-sales function, if required.
  • To assist with the productisation of any new service linked to the technical function.

• To engage with vendors in respect of the technical function:
  • Contribute to Complex sales when procuring large contracts.
  • Contribute to negotiations with vendors and strive to maximise value for money.

• To be available to assist in any projects and/or duties that the Company may deem reasonable.
• To form part of on-call roster, if operationally mandated.

Scope & Remit

• The scope of technology within remit includes all functions related to data science and business intelligence, but NOT in any way limited to:
• Data integration and transformation:
  • Responsible for the end-to-end flow of Business Intelligence, encompassing data extraction, transformation, and loading (ETL) processes.
  • Utilize tools such as Microsoft SQL Server Integration Services (SSIS) to integrate data from diverse sources, including My SQL, Oracle and offline data sources such as spreadsheets.
  • Transform raw data into a standardized and usable format to support analytical and reporting requirements.
• Presentation and insights:
  • Collaborate closely with stakeholders to gather and understand reporting requirements.
  • Analyse and interpret data to identify trends, anomalies, and opportunities, enabling informed decision-making.
• Technical support and troubleshooting:
  • Provide technical support beyond traditional BI functions, including using BI tools for process automation in other technical areas.
  • Actively participate in troubleshooting efforts to investigate and resolve issues identified through reports.
  • Perform data source analysis to identify root causes and recommend corrective actions.
• Data quality and governance:
  • Maintain focus on data quality, ensuring that data sources are accurate, reliable, and up to date.
  • Be responsible for to data governance, including data profiling, data cleansing, and metadata management.
• Continuous Improvement:
  • Identify opportunities for process improvements and efficiency gains in BI operations.
• Documentation and knowledge sharing:
  • Maintain comprehensive technical documentation, including ETL workflows, report specifications, and troubleshooting procedures.
• Data Science strategy:
  • Lead the development of the future data science and data storage strategy, including developing long-term plans to store structured and unstructured data, via the use of warehousing, data lakes, data lakehouses and data fabrics.
  • Define the roadmap for infrastructure enhancements, ensuring scalability, performance, and alignment with business objectives.

Qualifications & Requirements

Essential

• Relevant qualification in computing, data or a related discipline, or equivalent substantial practical experience.
• Strong hands-on SQL, relational database, ETL, data modelling and BI delivery experience, including complex troubleshooting and production support.
• Demonstrated experience leading technical delivery, reviewing work and mentoring colleagues, with clear stakeholder communication and prioritisation skills.

Desirable

• Experience with SSIS, SQL Server, My SQL or Oracle; data warehousing, semantic models or modern analytics platforms.
• Exposure to Python, applied data science, telecoms data, vendor evaluation or formal people management.

How to apply

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How to apply

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