Data Analytics (BI & AA) Manager

DU UAE; United Arab Emirates; On-site; AED 300,000 - 460,000; Full time

Job summary

DU UAE is seeking a seasoned analytics leader to drive BI publishing, data modelling, and advanced analytics in a telecom context. You will design MicroStrategy dossiers, build predictive models, and mentor a team of analysts.

You will work with Teradata DWH, Python, R, and RapidMiner to deliver scalable analytics and present insights to stakeholders. Honing data literacy across the organization, you will deliver new dashboards and reports, prototype self-service solutions, and ensure metadata

Qualifications

• 8-10 years of analytics, data modelling and BI publishing experience.
• Minimum 5 years operational telecom domain experience.
• Experience building reporting solutions with Teradata DWH and MicroStrategy.

Responsibilities

• Plan and develop MicroStrategy Dossier layers to support self-service BI.
• Prototype Dossiers and reports for business validation.
• Deliver new reports and dashboards, or enhance existing ones, for analytics.
• Maintain business metadata to support consistency across content.
• Train end-users to maximize adoption of BI solutions.
• Conduct deep-dive analyses with business teams and deliver ad-hoc insights.
• Develop predictive models and ML algorithms to drive business insights.
• Ensure models are explainable and aligned with business goals.

Skills

Data storytelling

Stakeholder management

Strategic thinking

Communication

Education

Data Science/CS/IS degree

Tools

Teradata DWH

MicroStrategy

Python

R

RapidMiner

Cloudera CDP

Job description

• BI Self-Care Layer & Reports/Dashboard Design & Development
  • Plan and develop MicroStrategy Dossier layers to support self-service BI capabilities.
  • Prototype Dossiers and reports for business validation, ensuring alignment with business needs.
  • Deliver new reports and dashboards, or enhance existing ones, to support organizational analytics requirements.
  • Maintain business metadata (measures & dimensions) to support consistency across analytics content.
  • Handover and train end-users on BI solutions to maximize adoption and self-sufficiency.
• Ad-hoc / Deep-Dive Analyses
  • Conduct in-depth exploratory analyses to identify trends, patterns, and business opportunities.
  • Work closely with business teams to deliver ad-hoc insights that support strategic decision-making.
  • Provide customized reports and analyses in response to urgent or critical business needs.
  • Leverage Teradata, Python, R, and RapidMiner to execute advanced data exploration techniques.
• Advanced Analytics
  • Develop and implement predictive models and machine learning algorithms to drive business insights and automation.
  • Design and optimize semantic metric models to enhance both descriptive and predictive analytics capabilities.
  • Utilize Teradata, Python, R, and RapidMiner to develop, test, and validate statistical and machine learning models.
  • Research and apply advanced analytical techniques such as clustering, classification, regression, and time-series forecasting to solve business challenges.
  • Ensure predictive models are explainable, actionable, and aligned with business objectives to maximize adoption and impact.
  • Continuously evaluate and enhance model accuracy, performance, and scalability through rigorous testing and optimization.
• Storytelling & Data Literacy
  • Translate complex data insights into compelling narratives that drive business impact.
  • Ensure data-driven insights are communicated effectively to both technical and non-technical audiences.
  • Drive data literacy initiatives, enabling teams to interpret, analyze, and act on data.
  • Develop and deliver training sessions and workshops to improve organization-wide data fluency.
  • Foster a culture of data-driven decision-making by promoting the effective use of BI tools and analytics.

Qualifications:

• Bachelor's or Master’s degree in Data Science, Computer Science, Information Systems, or a related field.
• Certifications in BI tools (MicroStrategy, Tableau, Power BI), Data Science (Python, R), or Data Engineering are a plus.

Experience:

• 8-10 years of experience in analytics, data modelling, and BI publishing, with at least 3 years in a leadership role.
• An operational & substantial experience (at least 5 years) in similar position experience in a Telecom company
• Minimum 7 years in building reporting solutions.
• Extensive hands-on experience with Teradata DWH for data warehousing and modelling.
• Extensive proficiency in MicroStrategy semantic data modelling tooling (Architect).
• Proven expertise in working with Teradata DWH, MicroStrategy BI tool, and/or Cloudera CDP.
• Strong background in delivering BI reports/dashboards and SPoT publications.
• Exposure / deployment of ETL development tools such as Informatica, Ab Initio, Ascential Data Stage.
• Experience with data science tools like RapidMiner, R, and Python.
• Must have experience working directly with end-users and analysts in a business intelligence environment.
• Knowledge of Telco BSS/OSS database structures is a plus.

Skills

• Technical Skills
  • Extensive hands-on experience with Teradata DWH for data warehousing and modelling.
  • Proficiency in MicroStrategy BI tool for dashboarding and reporting.
  • Advanced expertise in Python, R, and RapidMiner for data analysis and modelling.
  • Familiarity with Cloudera CDP for data processing and analytics infrastructure.
• Soft Skills
  • Data Storytelling: Ability to simplify complex data and present insights in a compelling and actionable format.
  • Data Literacy: Strong capability to educate and train non-technical users on understanding and using data effectively.
  • Stakeholder Management: Ability to work cross-functionally with IT, Operations, and Business teams.
  • Strategic Thinking: Proactively align analytics initiatives with business objectives and long-term vision.
  • Communication & Presentation: Strong ability to convey data-driven insights in a meaningful way to different levels