Role Description :

- The Head of Analytics oversees the delivery of all activities of the data analytics and data warehouse teams. The individual leads the business through all efforts that drive business performance and potential by using the existent and new data sources and techniques.

- The individual shall collaborate with numerous departments across the business, aiding them in the proper use of data, hence, ensuring the delivery of desired operational results.

- Ideal candidate will have 10 plus years of experience with all data technologies including big data, analytics, OLTP, AI/Data Models as well as information management, data warehouse, and business analytics functions, preferably in high transaction-oriented at scale environments and managing a team of developers and analytics.

Job Responsibilities :

- Execute a data strategy and vision as defined by the Director of Analytics.

- Manage a team of data integration, data visualization, data quality assurance specialists

- Guide the company towards becoming a data driven organization.

- Build and maintain a scalable, flexible, extensible data architecture and platform that drives business and technology needs across the enterprise.

- Collaborate with internal teams to define the analytics function road map

- Building advanced Data Science/Machine Learning models using structured and unstructured data

- Interact with other technical and business teams to support design and use of applications and data mining tools for effective real time reporting and analytics.

- Interact with the enterprise to understand the types of information and data needed to support their efforts; provide ongoing direction and analyses of trends and opportunities and ensure data integrity and service support levels by measuring key processes and integrating improvements.

- Create highly predictive models using segmentation and regression techniques to drive revenue, customer satisfaction and operational efficiency.

- Track, analyze and develop metrics to identify trends and patterns within the existing data as well as data acquired externally.

- Review analytics end-products to ensure accuracy, quality and timeliness.

- Follow Agile develop methodology and implement using SCRUM.

Technical Requirements :

- Expertise in Data Modelling

- Knowledge of metrics, measurements, and bench marking to complex and demanding solutions across multiple industry verticals.

- Experience in hands-on business analysis, modelling and segmentation and data mining using large volumes of granular data to deliver analytical solutions

- Specific knowledge of and experience with big data technologies, concepts, products, tools, and related solutions such as Hadoop, Amazon EMR etc.

- Best practices and methodologies in data design, conceptual and logical modelling. Implementation experience with analytical and reporting tools to service business users.

- Exposure to customer experience design (using human centred design / design thinking)

- Experience in an implementation of a Big Data platform using Hadoop and/or AWS.

- Expertise on data virtualization with proven experience on platforms such as Denodo.

- Experience in visualization design and implementation with Power BI.

Business Requirements :

- Demonstrated experience in planning, organizing, and managing multiple projects with diverse cross-functional stakeholders

- Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor.

- Good business acumen with strong ability to solve business problems through data driven quantitative methodologies.

- Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels.

- Experience in presenting ideas and analysis and articulating effectively to stakeholders.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.