DAS42

Faster Insights. Better Decisions.

Data Consultant Lead

ConsultantConsultantFull TimeRemoteTeam 51-200Since 2013H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

38 days ago

Salary

$115K - $145K / year

Bachelor Degree5 yrs expEnglishAmazon RedshiftAWSBig QueryCloudETLPerlPythonSQLTableau

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.

Job 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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