we are looking for a Senior Data Analyst
Responsibilities
Build data products driven by complex analysis, using Python, PySpark, BigQuery, Tableau, etc.
Full project ownership from report requirements to execution
Build production grade data products that fit customer needs
Developing fully reproducible pipelines for reports including core logic, ETLs
Packaging analysis results in a compelling way to tell the best story for the use case
Work closely with R&D, other Data Analysis teams and Data Science teams to ensure the optimal solution is built in terms of logic and infrastructure
Work closely with business and product teams to collaborate on innovative solutions for product gaps
Responsibilities
Build data products driven by complex analysis, using Python, PySpark, BigQuery, Tableau, etc.
Full project ownership from report requirements to execution
Build production grade data products that fit customer needs
Developing fully reproducible pipelines for reports including core logic, ETLs
Packaging analysis results in a compelling way to tell the best story for the use case
Work closely with R&D, other Data Analysis teams and Data Science teams to ensure the optimal solution is built in terms of logic and infrastructure
Work closely with business and product teams to collaborate on innovative solutions for product gaps
Requirements:
B.Sc in Industry & Management, Computer Science, Mathematics, Statistics, Economics or equivalent experience in acadenic research or industry. M.Sc, MA, MBA – advantage
4+ years of relevant working experience as a Data Analyst, preferably at a SaaS company
2+ years of experience working with Python, Pandas (preferably in a collaborative setting, e.g working with git – Advantage)
Experience in pySpark, Airflow – big advantage
Experience with Tableau – advantage
Quick learner, proactive/can-do attitude with high attention to details
Ability to work in a fast-paced environment, adapting to a constantly changing environment
Excellent communication skills with fluent English (written and oral);
Strong "story-teller" that can communicate insights and recommendations effectively
Creative and critical thinking skills
A team player with strong analytical and problem solving skills as well as business sense
Ability to manage multiple, competing priorities and deliver results under tight deadlines
B.Sc in Industry & Management, Computer Science, Mathematics, Statistics, Economics or equivalent experience in acadenic research or industry. M.Sc, MA, MBA – advantage
4+ years of relevant working experience as a Data Analyst, preferably at a SaaS company
2+ years of experience working with Python, Pandas (preferably in a collaborative setting, e.g working with git – Advantage)
Experience in pySpark, Airflow – big advantage
Experience with Tableau – advantage
Quick learner, proactive/can-do attitude with high attention to details
Ability to work in a fast-paced environment, adapting to a constantly changing environment
Excellent communication skills with fluent English (written and oral);
Strong "story-teller" that can communicate insights and recommendations effectively
Creative and critical thinking skills
A team player with strong analytical and problem solving skills as well as business sense
Ability to manage multiple, competing priorities and deliver results under tight deadlines
This position is open to all candidates.
