Data Consultant Lead
Job Description:
• Guide clients on optimizing their data environment to work most effectively and efficiently for them.
• Develop system engineering, integrations, and architectures based on client needs.
• Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
• Develop a data model around stated use cases to capture client’s KPIs and data transformations. Validation and testing of data models.
• Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
• Manage technical teams of up to 4-6 people, delegating work to associates across concurrent engagements.
• Assign staff with appropriate skill sets in associate and junior consultants to projects in conjunction with the project manager
• Work within a project management framework to meet objectives, understand scope, and impact of your work across an organization.
• Work with the Sales and Marketing teams to develop Thought Leadership and support our sellers by talking to clients about DAS42’s capabilities.
Requirements:
• 5 to 8 years of work experience in a data analytics and/or data engineering role.
• Minimum of 1 year leading projects, either formally or informally.
• Able to manage internal employees (ideally having formal direct reports).
• A passion for exploring and solving different kinds of problems.
• A desire to learn and assimilate technical information quickly.
• Exposure to developer tools/workflow (e.g. git/github, SSH). Knowing how to get around a command line environment.
• Project management (eg. Basecamp, JIRA, ASANA).
• Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift).
• Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI).
• Experience with data warehousing and using Snowflake.
• Experience optimizing database/query performance.
• Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL.
• Bachelor's or Master’s degree – in a quantitative field (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering) (preferred).
• Worked for a consulting/services organization (preferred).
• Worked with or for Media & Entertainment or Telecom companies (preferred).
Benefits:
• Unlimited Vacation
• Medical, Vision, and Dental Insurance
• Paid Family and Medical Leave
• Individual and Company Bonus Programs
• Regular, In-person Company Events
• Flexible Work Policy
• Remote Work Stipend
• 401(k) Matching
• Learning and Development Programs
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• Guide clients on optimizing their data environment to work most effectively and efficiently for them.
• Develop system engineering, integrations, and architectures based on client needs.
• Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
• Develop a data model around stated use cases to capture client’s KPIs and data transformations. Validation and testing of data models.
• Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
• Manage technical teams of up to 4-6 people, delegating work to associates across concurrent engagements.
• Assign staff with appropriate skill sets in associate and junior consultants to projects in conjunction with the project manager
• Work within a project management framework to meet objectives, understand scope, and impact of your work across an organization.
• Work with the Sales and Marketing teams to develop Thought Leadership and support our sellers by talking to clients about DAS42’s capabilities.
Requirements:
• 5 to 8 years of work experience in a data analytics and/or data engineering role.
• Minimum of 1 year leading projects, either formally or informally.
• Able to manage internal employees (ideally having formal direct reports).
• A passion for exploring and solving different kinds of problems.
• A desire to learn and assimilate technical information quickly.
• Exposure to developer tools/workflow (e.g. git/github, SSH). Knowing how to get around a command line environment.
• Project management (eg. Basecamp, JIRA, ASANA).
• Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift).
• Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI).
• Experience with data warehousing and using Snowflake.
• Experience optimizing database/query performance.
• Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL.
• Bachelor's or Master’s degree – in a quantitative field (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering) (preferred).
• Worked for a consulting/services organization (preferred).
• Worked with or for Media & Entertainment or Telecom companies (preferred).
Benefits:
• Unlimited Vacation
• Medical, Vision, and Dental Insurance
• Paid Family and Medical Leave
• Individual and Company Bonus Programs
• Regular, In-person Company Events
• Flexible Work Policy
• Remote Work Stipend
• 401(k) Matching
• Learning and Development Programs
Apply tot his job
Apply To this Job