Senior analytics engineer

Responsibilities

• Develop the business data marts of our company covering finance, clients, and operations, and establish data lineage from sources to reporting.

• Manage data quality by developing tests and alerting to notify the team and integrate with our data incident process.

• Work with the finance department to provide reporting and analytical use cases.

• Create informative dashboards for the team, company, and community.

• Define data requirements for the data engineering team, determining granularity, frequency, and data quality.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

• Advanced knowledge of data modeling techniques.

• Competence with the analytical Python stack.

• Experience working with ETL instruments such as Airflow and dbt.

• Proficiency in advanced SQL, including different joins and window expressions (utilizing Google BigQuery).

• Advanced knowledge of visualization tools (e.g., Tableau, Superset, Looker)

• Data storytelling skills and the ability to form and defend opinions with data beyond reasonable doubt.

• Data research skills, including probability theory and mathematical statistics, and the ability to work with models like regressions and A/B tests is considered an advantage.

• Fluent English: B2+

Conditions

At P2P.org we have a team of experts with their own unique approach and ownership culture. Together we gain experience and make dreams come true! 🌟

• Remote working from any part of the world

• Work from anywhere in the world: an international distributed team

• Competitive salary level in $ (we can also pay in Crypto)

• Well-being program

• Mental Health care program

• Compensation for education, including foreign language study programs & professional growth courses

• Equipment & co-working reimbursement program

• Overseas conferences, community immersion

• Positive and friendly communication culture

P2P.org is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, veteran status, or disability.