.. part inventory for basic vehicle maintenance. Carry out basic vehicle maintenance as needed. Schedule maintenance and repair work at local garages as needed. Perform facility maintenance and other duties as determined by supervisor. Qualifications & Experience Mechanical mindset with the ability to troubleshoot .. read more
As a
Manager, Analytics Engineering
, you will
be responsible for
leading and managing a team of Analytics Engineers while actively contributing to the development and implementation of analytics engineering solutions. Your primary focus will be to address pain points related to analytics engineering culture, standardized development and modeling approaches, tools, and staying
up-to-date
with industry trends in a way that
benefits
the company. You will play a crucial role in driving employee retention, resourci
ng, learnings management, presales, feedback gathering, QA, and internal analytics engineering processes.
Key Responsibilities
Team Leadership:
You are responsible for a diverse team of analytics engineers, at different levels in their careers. You will foster their growth, and wellbeing of the team, as well as pairing with the team to solve interesting analytical challenges. You will work closely with data solutions managers and your director to ensure adequate and sustainable analytics engineering coverage across engagements.
Functional Leadership:
You are responsible for working with clients to build guidelines for data modeling and transformation, measuring and tracking deliverables, and implementing analytics engineering tools to support data-driven decision-making, and develop strategies to ensure data quality and consistency with their data products.
Project Delivery:
You are responsible for improving core analytics engineering deliverables by supporting internal process reviews, building guidelines for data visualization and measuring and tracking reporting deliverables to ensure client satisfaction.
Tools & Technologies
Expert proficiency with data transformation tools (e.g., dbt)
Expert proficiency in data modeling approaches and philosophies (e.g., Kimball, OBT)
Intermediate / expert proficiency with cloud data warehouses (e.g., Snowflake)
Knowledge of common data integration patterns (e.g., CDC, ELT, etc.)
Knowledge of common data integration / orchestration platforms (e.g., Fivetran, Azure Data Factory, Apache Airflow)
Technical Skills
Experience mentoring and advising other engineers
Experience with optimizing resource allocation by assessing team members' strengths and assigning tasks according to their expertise, while promoting skill growth.
Qualifications
Intermediate / expert proficiency with cloud data warehouses (e.g., Snowflake)
Intermediate / expert proficiency with data modeling approaches and philosophies, and the tools that are used (e.g., dbt)
Experience mentoring and advising other engineers
Experience with optimizing resource allocation by assessing team members' strengths and assigning tasks according to their expertise, while promoting skill growth.
Physical Requirements
Frequent sitting at a desk performing work on a computer
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Compensation Range: $150,000-162,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.
#J-18808-Ljbffr
Manager, Analytics Engineering
, you will
be responsible for
leading and managing a team of Analytics Engineers while actively contributing to the development and implementation of analytics engineering solutions. Your primary focus will be to address pain points related to analytics engineering culture, standardized development and modeling approaches, tools, and staying
up-to-date
with industry trends in a way that
benefits
the company. You will play a crucial role in driving employee retention, resourci
ng, learnings management, presales, feedback gathering, QA, and internal analytics engineering processes.
Key Responsibilities
Team Leadership:
You are responsible for a diverse team of analytics engineers, at different levels in their careers. You will foster their growth, and wellbeing of the team, as well as pairing with the team to solve interesting analytical challenges. You will work closely with data solutions managers and your director to ensure adequate and sustainable analytics engineering coverage across engagements.
Functional Leadership:
You are responsible for working with clients to build guidelines for data modeling and transformation, measuring and tracking deliverables, and implementing analytics engineering tools to support data-driven decision-making, and develop strategies to ensure data quality and consistency with their data products.
Project Delivery:
You are responsible for improving core analytics engineering deliverables by supporting internal process reviews, building guidelines for data visualization and measuring and tracking reporting deliverables to ensure client satisfaction.
Tools & Technologies
Expert proficiency with data transformation tools (e.g., dbt)
Expert proficiency in data modeling approaches and philosophies (e.g., Kimball, OBT)
Intermediate / expert proficiency with cloud data warehouses (e.g., Snowflake)
Knowledge of common data integration patterns (e.g., CDC, ELT, etc.)
Knowledge of common data integration / orchestration platforms (e.g., Fivetran, Azure Data Factory, Apache Airflow)
Technical Skills
Experience mentoring and advising other engineers
Experience with optimizing resource allocation by assessing team members' strengths and assigning tasks according to their expertise, while promoting skill growth.
Qualifications
Intermediate / expert proficiency with cloud data warehouses (e.g., Snowflake)
Intermediate / expert proficiency with data modeling approaches and philosophies, and the tools that are used (e.g., dbt)
Experience mentoring and advising other engineers
Experience with optimizing resource allocation by assessing team members' strengths and assigning tasks according to their expertise, while promoting skill growth.
Physical Requirements
Frequent sitting at a desk performing work on a computer
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Compensation Range: $150,000-162,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.
#J-18808-Ljbffr