Senior Analytics Engineer

Posted 26 days agoInactiveViewed

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💎 Seniority level: Senior

📍 Location: United States

💸 Salary: 130000.0 - 150000.0 USD per year

🔍 Industry: Data Analytics

🏢 Company: Velir

🗣️ Languages: English

🪄 Skills: PythonSQLApache AirflowBusiness IntelligenceCloud ComputingETLGitSnowflakeData engineeringREST APIData visualizationData modelingData analytics

Requirements:

Expert in SQL
Expert with data transformation tools (e.g. dbt)
Expert with at least one cloud data warehouse (e.g. Snowflake)
Expert with version control and git
Proficiency with data modeling approaches and philosophies (e.g. Kimball, OBT)
Proficiency with business intelligence platforms (e.g. Sigma, PowerBI)
Knowledge of other common programming languages for data manipulation (e.g. Python, R)
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)

Responsibilities:

Designs data models, implements data governance, selects and implements transformation and analytics tools, and creates efficient data querying and processing methods.
Configures and optimizes aspects of a cloud data warehouse such as data permissions, compute and storage clusters, and table schemas.
Works with tools like business intelligence (BI) platforms and data visualization tools.
Focuses on opportunities to reduce complexity within client data stacks and delivering added value for downstream use cases.
Provides constructive feedback on peer code or solution design document reviews.
Serves as a mentor for less advanced team members and onboarding new engineers onto the team, helping evolve and document the standards for the analytics engineering practice at Velir.
Promotes a positive culture within and across different teams, collaborating with data engineers and data analysts on end-to-end client requirements.
Collaborates with clients and functional managers to plan for analytics engineering needs for a product or feature launch.
Pairs with a teammate or with someone at a client on strategies for solving an analytics engineering problem.
Creates a process or reporting template that helps cross-functional teams solve for common analytics engineering problems.
Regularly engages with other teams to make our organization more effective.
Takes initiative to identify and solve important problems.
Coordinates with others on cross-cutting technical issues.
Drives data solutions improvements that impact the client experience or empowers internal stakeholders (teams like Operations, Customer Support, Finance, etc.) to do their job effectively.
Optimizes for the predictability and regular cadence of deliverables.
Keeps reliability, maintainability and scalability of our clients’ systems top of mind.
Embraces long-term ownership of projects while training others to reduce the bus factor or becoming a blocker.
Prioritizes and values undesirable/unowned work that enables the team to move faster.

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