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Data Lead

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Date: Mar 13, 2023

Location: St. Thomas, BB

Company: Digicel


About Digicel


As a Digital Operator, Digicel is in the business of delivering powerful digital experiences 1440 minutes of each day to customers – that’s every minute, all day, every day.


Through its world-class LTE and fibre networks, together with its suite of apps spanning sports, news, local radio and podcasts, TV streaming, enhanced messaging and marketplaces and self-care, Digicel is the only operator in its markets that can deliver that.


Serving consumer and business customers in 25 markets in the Caribbean, Central America and Pacific, its investments of over US$5 billion and a commitment to its communities through its Digicel Foundations in Haiti, Jamaica, and Trinidad & Tobago have contributed to positive outcomes for over 2 million people to date.


With its Better Together brand, Digicel is making a promise of simply more to customers and communities and its 5,000 employees worldwide work together to make that a powerful reality day in, day out.


Visit for more.


Primary objectives of the Job:


  • Manage a team 7 people consisting of Data Engineers, Data Scientists and BI Analysts in an agile way of working
  • Collaborate with business partners to identify areas in which business intelligence efforts and prioritize the demands according to the teams’ capacity
  • Identify and exploit opportunities for data and analytics due to a thorough understanding of needs and levers within domain
  • Has in-depth knowledge of data governance and quality strategy design and deployment across the client
  • Establish a communication plan and processes to implement data quality and governance policies; lead such implementation and coach businesses along the way
  • Provide guidance and hands-on expertise to help the team with any roadblock or issue they may face on their deliverables
  • Advise on the definition of domains, roles, scope and controversies for data
  • Advise on high criticality data management methodology


Main Duties and Responsibilities:


  • Focused on agile delivery with a “fail-fast, succeed early” mindset and measurable outcomes
  • Flexibility to change work direction as the project develops according to highest-priority business needs
  • Strong work ethic; ability to work at an abstract level and gain consensus
  • Exemplary organizational skills with attention to detail, access, and quality assurance
  • Excellent communication and listening skills, collaborating closely with multidisciplinary team members


Academic Qualifications and Experience Required:   


  • Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Quantitative Finance or related fields
  • 5+ years of experience in business intelligence or analytic reporting
  • Have proven experience of leading teams in agile ways of working
  • Knowledge of BI tooling (e.g., Tableau, Power BI)
  • Strong analysis and pattern recognition skills, as well as synthesis skills, to be able to streamline work
  • Ability to configure automated reporting processes preferred
  • Strong data presentation and visualization skills; experience and formal training with data visualization tools preferred (e.g., Tableau)
  • Experience accessing and working with large data sources/models (e.g., Redshift, Power BI, SQL) 
  • Technical expertise in database development, data mining, and segmentation techniques
  • Experience with cloud technology: Preferred Azure






This job description indicates the general nature and level of work expected of the incumbent.  It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent.  Incumbent may, and probably will be asked to perform other duties as required.  Each employee, regardless of classification, is required to maintain a safe, orderly and clean workplace, using safety precautions and observing safety rules at all times.

Job Segment: Database, Business Intelligence, Data Management, Data Mining, Quality Assurance, Technology, Data