Position Title: Senior MicroStrategy Consultant

Job Category:   Permanent

Location: Islamabad / Lahore

Role: Senior MicroStrategy Consultant

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 Summary

This individual leads the analysis, architecture, design and development of data warehouse and business intelligence solutions in MicroStrategy. Develops and recommends strategies and specifications for BI solutions based on the analysis of the business goals, objectives, needs, and existing data systems infrastructure.  This person shall be thought leader/expert and familiar in the use of project management tools and can effectively estimate projects and monitor their status.

Areas of Responsibility

• Act as an authority on BI strategies and technologies and the appropriate application of these products and serve as an architecture expert to the organization
• Cover all aspects of the development lifecycle required to successfully deploy the BI solution including the following: semantic layer design, BI technical architecture, performance tuning BI applications, and logical and physical data model design and implementation.
• Understand the long-term business objectives and suggest technical strategies to meet those objectives by introducing innovation through technology, right selection of tools from BI tool suite
• Design end-to-end solutions (ETL, Warehouse, Reporting) to meet specific client requirements using a variety of technologies.
• Effectively analyse, resolve and document business problems with minimal oversight from senior management (i.e. accountable for owning and resolving issues)
• Effectively multi-task between initiatives and consistently produce quality deliverables requiring minimal QA from peers/supervisors.
• Demonstrate ability to effectively coach and mentor; regarded and sought by more junior staff as a coach and mentor
• Keep current on new/relevant technologies.

Education

• Bachelor’s Degree from a reputed Educational Institute.
• Degree in Computer Science, Mathematics/Statistics, Computer Engineering or related fields is preferred
• Post-Graduate degree is a plus

General Skills

Required:

• Excellent Consulting, Oral and Written communication and Presentation skills
• Strong SQL and Database experience with a major RDBMS (for example Teradata, SQL Server, DB/2, Oracle)
• Excellent Troubleshooting skills
• Strong background in IT
• Experience with Logical and Physical Data Modelling, Database Architecture
• Experience with Data Warehousing and ETL Methodologies
• Familiarity with Erwin, Power designer or similar modelling tool.
• Working knowledge of Hadoop Big Data architecture

Preferred

• Any background/experience with Graphic Design

Technical Experience

 Required

• 5+ Years of experience with MicroStrategy. This includes knowledge of Architecture, Installation, Configuration and Development tools.
• Experience with Design of end-to-end BI solutions and managing complex integration projects.
• 5+ years of Data Warehousing Experience
• Experience in designing enterprise wide solutions and its expansion
• Leadership experience (Either Technical Lead or Project Manager)
• Experience with Solution Development Life Cycle, including requirements gathering, documentation testing and knowledge transfer is required.
• Experience of successful project delivery following Agile methodology.

 Preferred (in order of preference)

• Experience with at least 1 front end BI tool (Either Tableau, Cognos, OBIEE, or Business Objects). This includes knowledge of Architecture, Installation, Configuration and Development tools.
• 5+ Years of experience with one or more ETL tool (Informatica, Datastage, Ab initio, Talend)
• Extensive knowledge with design and development experience on scripting languages like Shell/Perl.
• Comprehensive Knowledge of Ralph Kimball's Data Modeling Concepts including Transaction dimensions, conformed dimensions and facts, slowly changing dimensions, multi-Star/ Snowflake Schema Modeling, different types of Fact tables
• Worked with Offshore client teams
• Mobile BI development
• Experience with BI solutions based on non-traditional Big Data databases (Hive, HBase, SimpleDB, MonetDB etc).