Data Analytics (BI & AA) Manager

Key Accountabilities

• 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