MicroStrategy Architect

MicroStrategy Architect

NYC area as candidates needs to be onsite 2-3 times per month, otherwise will work remotely

FULL TIME, Permanent

Role and Responsibilites:

Lead the migration of the semantic layer from Pybricks to Microstrategy, including the conversions of Data Models, Attributes, Metrics and hierarchies.

Design and Develop Data Models, schemas and architecture in Microstrategy to support complex business analytics and reporting requirements.

Collaborate with business stakeholders, data engineers tp understand data sources and business requirements.

Optimize Microstrategy performance by fine tuning queries, optimizing data storage and implementing best practices for data modelling and schema design.

Design and develop interactive dashboards and visualization in Microstrategy, leveraging advanced features such as drilling, filtering and dynamic content to enable intuitive data exploration and analysis.

Develop and maintain documentation, standards and guidelines for Microstrategy developments and deployment ensuring compliance with industry standards and best practices.

Provide training and support to end users and business analysts on microstrategy functionality, data modelling concepts and best practices for data visualization and analysis.

Develop and Maintain Microstrategy Report, Document and Dashboard in Design, document and Editable mode.

Knowledge in creating and integrating MSTR object using Attributes, Metrics, filters, Intelligence Cubes and logical functions.

Candidate Profile:

Bachelor s/Master's degree in computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

Experience with migrating semantic layer from other BI platforms to Microstrategy is highly desirable.

Proven experience with Microstrategy platform including data modelling, schema design, report development and dashboard creation.

Insurance Industry knowledge good to have

8-12 years relevant experience preferably in analytics

Outstanding written and verbal communication skills

Able to work in fast pace continuously evolving environment and ready to take up uphill challenges

Is able to understand cross cultural differences and can work with clients across the globe