Data Analytics (BI & AA) Manager

DU

Key Accountabilities:

• BI Self-Care Layer & Reports/Dashboard Design & Development
  
  • Plan and develop MicroStrategy Dossier layers to support self-service BI capabilities.
  • 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.
  • 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.
  • 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.
  • 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.

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