Digital Products Analytics Ad-Hoc Analyst - Remote
About The Position
Perform data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis. Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools. Analyze large datasets to identify trends, patterns, and correlations, drawing meaningful conclusions that inform business decisions. Collaborate with clients and cross-functional teams to gather and understand data requirements, translating them into actionable insights. Work closely with other departments to support their data needs. Collaborate with Data Scientists and other analysts to support predictive modeling, machine learning, and statistical analysis. Assist in the identification and implementation of process improvements to streamline data workflows and analysis.
Requirements
- query data warehouses (Snowflake, Redshift) 2-3 years
- use analytics UI systems (Amplitude Analytics) - specifically need Amplitude, 1+ years
- Strong SQL - writing own queries by reviewing tables and finding data needed and joining together to derive insights from this analysis and sometimes present this visually 2-3 years
- Data quality analysis 2-3 years
Responsibilities
- Perform data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis.
- Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools.
- Analyze large datasets to identify trends, patterns, and correlations, drawing meaningful conclusions that inform business decisions.
- Collaborate with clients and cross-functional teams to gather and understand data requirements, translating them into actionable insights.
- Work closely with other departments to support their data needs.
- Collaborate with Data Scientists and other analysts to support predictive modeling, machine learning, and statistical analysis.
- Assist in the identification and implementation of process improvements to streamline data workflows and analysis.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
