Senior Data Consultant

• Requirements

   

• 6+ years’ experience working on complex data projects including migrations, integrations, data architecture and data governance
• Ability to convert high-level requirements into a solution – i.e. you do not need a detailed specification to be successful
• Solid experience with an ETL any of the mentioned tools (ex. SSIS, Boomi, or Informatica Power Centre, Mulesoft)
• Experienced technology leader with extensive Data Quality, Data Management, Data Security, Data Governance skills
• Proficient with PL/SQL query writing and strong relational database background/understanding.
• Basic Understanding of DBamp.
• Experience on SF Data Loader and writing SOQL is an asset.
• Should expose himself as SME in Migration tools.
• Experience with BI tools like Tableau, Qlik, Salesforce Analytics is an asset
• Experience with master data management projects and practices is an asset.
• Candidates should have about at least 2 years of experience in Salesforce.com and should have a thorough understanding of the Salesforce.com project lifecycle.
• The Candidate should have good organizational and customer service skills so that the clients are happy with the working of the organization.
• A strong knowledge of enterprise analytics, big data platforms, data exchange models, CRM, MDM, and cloud integration is preferred.
• Data modeling experience; specifically designing logical models/data dictionaries from business requirements
• Applicants should be able to give Architectural/Design insight in the project if required.
• Implementation experience and domain knowledge in Salesforce Sales and Service functionality and any of the following multiple CRM subject areas.
• Excellent Mentorship and team handling skills.
• Excellent Troubleshooting Skills.
• Good understanding of Internet technologies: firewalls, web servers, web proxy servers, etc.

Responsibilities of a Data Consultant

• Eliciting data requirements during business solution design sessions and translating these into a solution
• Data modelling for custom salesforce.com projects/functionality
• Provide data governance thought leadership to clients so that they can manage and use their data to its fullest
• Conducting data audits, cleansing and de-deduplication projects to clean data
• Conducting analysis of customer data to identify key predictors of activity: from lead management through to forecasting
• Developing ETL processes for data migration and integration projects.
• Own and aggressively drive forward specific areas of technology architecture. Provide architectural solutions/designs to project execution teams for implementation.
• Lead projects within architecture. Work with Product Owner/Business Analysts to understand functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features.