Analytics Solutions Lead

3 days ago

Islamabad, Islamabad, Pakistan Pakistan Revenue Automation (Pvt) Ltd. Full time

We are looking for a highly skilled Analytics Solutions Lead to join our team in Islamabad, Pakistan.

This exciting opportunity offers a unique chance to make a significant impact on the organization's analytical capability by working alongside existing technical staff to mentor, develop, and deepen predictive modeling/data science skills in the team.

Key Responsibilities
  1. Drive analytical insight into department-wide problems with complex recommendations that have been rigorously tested.
  2. Enhance analytical capability in algorithm development to predict taxpayer outcomes.
  3. Work alongside existing technical staff to mentor, develop, and deepen predictive modeling/data science skills in the team.
Role Specification

Essential Knowledge and Skills

  1. Critically challenge analysis employed in their business and provide constructive, pioneering alternatives to drive significant improvements.
  2. Support innovation and improvement of risk, customer relationship management (CRM), and cost modeling to improve end-to-end processes.
  3. Extensive experience of analyzing large and complex datasets.
  4. Familiarity in algorithm development categorized as Artificial Intelligence, Predictive Analytics, Data Mining, or Machine Learning.
  5. Demonstrably expert in predictive analytics using a variety of commercially available analytical IT tools, e.g., SAS, R, or Python.
  6. Extensive hands-on experience of credit/risk and/or behavioral data analytics in a large organization.
  7. Experience of delivering risk and analysis projects balancing cost, quality, and timing variables for successful delivery.
  8. Significant experience (ideally 5 years +) in a post with project lead responsibility for operational applications of propensity/risk analysis strategies.
  9. A minimum of a 4 year Bachelor's degree or Masters in a numerate discipline from a recognized local or international university.
  10. Strong quantitative and technical skills.
  11. Experience of mentoring and developing teams in a complex analytical environment.
  12. Ability to engage effectively with senior business users through clear and professional written communication.
  13. An appreciation of Big Data technologies such as Hadoop, Spark, and Mapreduce.

Desired Knowledge and Skills

  1. Knowledge of performance indicators used to monitor risk portfolio performance.
  2. Experience of segmentation and marketing analytics approaches.
  3. Good general understanding of BI tools and techniques such as Cognos, Business Objects, and Tableau.
  4. The work is inherently complex and intellectually demanding - if you like ambiguous and challenging data work and logical problem-solving, this is for you.

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