Data Clymer hiring US-based Senior Business Intelligence Engineer

[aronclymer]

Data Clymer is a premier full-stack data engineering consulting firm and we are hiring for 3 key roles: data engineer, business intelligence engineer, and an SDR/BDR (sales). We specialize in Looker, Snowflake, Matillion, Fivetran, and DBT.  Job postings here.  If you or someone you know are strong in one of these areas, please contact us at hello@dataclymer.com. Thank you!

[Dawid]

Can you promote the salary information inclusivity and post ranges for each role? It helps people assess from the start, whether their job is off interest and if they live off the wage in the way they want taking into consideration where geographically the job is.

Responsibilities:

Business Intelligence Engineer

Key areas include but not limited to:

• People – Developing impactful relationships with the client and your co-workers
• Projects – Executing on project SOW within scope, on-time and on-budget
• Profits – Ensuing Data Clymer’s revenue goals are obtained

What you do:

• Contribute to Data Clymer to become the premier data consulting firm
• Provide feedback to the management team to set policies on how Data Clymer operates
• Build trust with our customers and drive long-lasting relationships
• Conduct technical discussions with client stakeholders
• Writing SQL for both data engineering and analytics purposes
• Define and create metrics / KPIs
• Design and build reports / dashboards using visualization best practices
• Build “trust” dashboards showing system status
• Build and maintain alerts to help clients stay informed when certain metric thresholds have been achieved or issues arise
• Hold trainings for the client and stakeholders
• Write clean, smart code that will scale
• Design and implement analytical data models
• Develop analytics through BI tools using Looker, Tableau and Sigma
• Performing Data analysis to answer key business questions
• Working with client teams to help create a data driven culture
• Devising the best solution based on requirements and your experience
• Auditing data and investing issues through resolution
• Gathering and documenting requirements
• General data wrangling with SQL, Python
• Research and implement technical solutions for client projects

Qualifications:

• A People first mentality. Both clients and our team members.
• High energy and action-oriented with a history of getting things done in complex, fast- moving environments. 
• Strong interpersonal skills and ability to gain alignment across people at various levels and functions
• Results orientation with a strong work ethic and self-management skills
• Ability to identify issues and opportunities within the company and help drive them
• Strong SQL skills and proficient with Python
• Desire to work with customers
• Two years of experience in data or analytics or equivalent degree
• Ability to manage multiple projects simultaneously

Nice to experience to have:

• Looker Development: coding LookML, setting up Explores, Reports and Dashboards
• Data analytics and visualization best practices
• Experience with Matillion, Fivetran  or DBT
• Data Engineering
• Data Warehousing (Snowflake, Redshift, Big Query, Azure)
• Data science / machine learning concepts
• Certifications in data technologies

Cloud Data Engineer

Key areas include but not limited to:

• People – Developing impactful relationships with the client and your co-workers
• Projects – Executing on project SOW within scope, on-time and on-budget
• Profits – Ensuing Data Clymer’s revenue goals are obtained

What you do:

• Contribute to Data Clymer to become the premier data consulting firm
• Provide feedback to the management team to set policies on how Data Clymer operates
• Interface and communicate with clients directly on a daily basis
• Build trust with our customers and drive long-lasting relationships
• Conduct technical discussions with client stakeholders
• Follow Data Clymer’s design patterns and culture change methodology
• Write clean, smart code that will scale
• Design and implement analytical data models
• Develop date pipelines (ETL) using Matillion, Fivetran  or DBT
• Configure data warehouse accounts, roles, databases, and schemas 
• Develop views, materialized views, and SQL scripts
• Work with client teams to help create a data driven culture
• Devise the best solution based on requirements and your experience
• Audit data and investing issues through resolution
• Gather and documenting requirements
• Research and implement technical solutions for client projects
• Develop analytics through BI tools using Looker, Tableau and Sigma

[aronclymer]

Thanks Dawid - we are primarily looking for strong mid-to-senior folks with direct experience in our cloud data stack and are not looking at a particular salary range.  Instead our philosophy is to absolutely compensate well for the right fit!