Description

You will build and maintain data pipelines and BI solutions to drive data strategy and infrastructure.

Responsibilities

• Build pipelines using large volumes of traffic data and user behavior to improve raw data quality.
• Extract patterns from large datasets and transform them into actionable informational advantages.
• Perform hands-on data exploration using SQL, Jupyter, and statistical analysis to answer business questions.
• Partner with BI, Research, Engineering, and Finance teams to implement data-driven plans and ingestion structures.
• Develop technical solutions, maintain documentation, and train impacted teams on new processes.

Required Skills

• 5+ years of experience in Analytics, Measurement, Data Operations, or consulting focused on digital analytics.
• Proficiency in Python and SQL.
• Hands-on experience with BigQuery, MySQL, and Postgres.
• Familiarity with relational and NoSQL data management systems including BigTable, HBase, Cassandra, and MongoDB.
• Experience with exploratory data analysis using iPython Notebook, Pandas, and matplotlib.
• Proven ability to build and deploy applications on a cloud platform, preferably Google Cloud Platform.
• Experience translating business requirements into technical data solutions.
• Ability to communicate complex data problems as simple, feasible solutions to non-technical audiences.

Preferred Skills

• Experience with Apache Airflow, GIT, and Data Modelling.
• Knowledge of ELT/ETL concepts and statistical analysis using R or Numpy/SciPy.
• Familiarity with marketing tools like Kochava, Braze, Branch, or Salesforce Marketing Cloud.

Key Skills

Education

Any Graduate