Specialist – Business Intelligence and Data Governance Full Time NEW

Role purpose: 
The specialist -Business Intelligence (BI) & Data Governance will be responsible for overseeing the delivery of BI & Data Governance to various business units through the BI & Data Governance Business partners. The role will drive Analytics initiatives to deliver superior customer insights, enhance customer experience and enhance operational efficiency through insights led decision making.

Key accountabilities and decision ownership:

• Embedded within business units to ensure requirements for reporting & analysis are delivered in a timely manner and reporting automation is prioritized and delivered
• Work closely with business unit to understand business reporting requirements, determine relevant databases/data sources and generate insights for decision making. Design and develop end user dashboards and provide proactive assurance on BI numbers as the single source of truth
• Responsible for defining and delivering insights to help decision making and drive customer experience initiatives. The work will involve guiding the identification of cross-functional data, preparing data, summarizing and tabulating the results in standard BI front end applications
• Provide insights through analytics to increase efficiency in operations
• Responsible for aligning requirements to overall defined priorities for analytics and manage delivery within strict timelines
• Responsible for ensuring all Analytics requirements and programs align to data governance standards defined
• Responsible to guiding on tools best fit for overall analytics strategy and ensuring tools are adequately rationalized to eliminate duplications
• Define and drive targeted initiatives in line with overall business analytics strategy
• Responsible for ensuring timely, accurate and simple dashboards and delivered to aid business decisions

  Core competencies, knowledge and experience:

  Business Competencies:

• Deepen team connection to our internal customers to drive a customer-centric mindset
• Provide insights to drive Explicitly take customer-centric decisions and take personal ownership to achieve results.
• Simplify processes through digitalization and promote a digital mindset and digital first customer experience.

  Creativity and Innovation

• Create psychological safety so everyone can have an impact.
• Fuel innovative ideas from others and test them to enable growth.
• Explore successes and failures with curiosity and resilience; fearlessly recognizing lessons learned.
• Share your ongoing learning and personal purpose with others.
• Learn fast from digital adoption, using learnings to drive simplicity, scale and efficiency.

  Business Know how

• Show ambition and courage, empowering others to go beyond the plan.
• Bold and challenge teams to reimagine how things are done.
• Prompt new thinking and ideas by asking “what if” questions.
• Use knowledge of the external environment (customers, partners, competition, external bodies) to identify and act on opportunities for growth at pace.

  Working with Change

• Learn fast from digital adoption, using learnings to drive simplicity, scale and efficiency.
• Project and Program Management
• Define and drive targeted initiatives in line with overall business analytics strategy
• Functional Competencies:
• Create an inclusive environment ensuring the safety and wellbeing of others.
• Live our Purpose and demonstrate the highest Standard of integrity.

  Key performance indicator:

• Define and deliver automated dashboards to gain insight into customer behavior
• Increased use of predictive analytics and automated campaign management models in liaison with big data teams
• Aligned reporting based on scientific customer segments
• Increase reliance on analytics for decision making
• Timely and accurate provision of analytics and customer insights
• Drive an analytics culture within the organization
• Drive data governance and quality in the delivery of insights
• Embed agile ways of working for delivery

Must have technical / professional qualifications: 

• Must have technical / professional qualifications:
• Bachelors in Computer Science, Statistics, Econometrics, Engineering, Maths, Science, etc.
• More than 2 years of experience in generating business insights by running adhoc analyses (trend and distribution analyses) and have good understanding of business
• intermediate in Oracle BI, SAS, SQL, Excel/VBA and Powerpoint
• Analytics experience in one or more of these areas: campaign management, sales, product design, pricing, supply chain, network, customer care, etc.
• Good communication and presentation (oral and written) skills
• Experience in telecom, financial services or similar industries
• Hands-on experience in statistical modeling would be a plus. Statistical experience can include developing regression models, factor analysis, clustering, decision trees, etc.
• Exposure to setting up DataMart’s, designing and developing reporting/BI would be helpful

Desired 

• None