#120470 - Senior Data Analyst
Job Description
We are seeking a Sr. Data Analyst to support enterprise reporting, dashboard development, and applied data analysis for an evolving analytics project. This role will focus on Tableau reporting, SQL/Python analysis, data cleaning and preparation, and translating business questions into meaningful insights and outcomes.
Enterprise experience strongly preferred.
Key Responsibilities
- Build, maintain, and support enterprise-level reporting and dashboards in Tableau.
- Work with complex and sensitive datasets, including salary-related data.
- Use SQL and Python to perform data analysis, analytical deep dives, and data preparation.
- Take business questions and translate them into insights, conclusions, and actionable outcomes.
- Own data cleaning responsibilities to ensure datasets are accurate, usable, and analysis-ready.
- Apply foundational statistics to support analysis where needed.
- Work within an evolving project environment with curiosity, flexibility, and a willingness to learn.
- Collaborate with data engineering partners and understand data flow across systems, even though API automation will be handled by the Data Engineer.
Qualifications
Must-Have Skills
- Strong applied data analysis experience using Python.
- Python data cleaning experience.
- SQL experience.
- Tableau experience, including enterprise reporting and dashboard work.
- Snowflake experience.
- Ability to analyze business questions and produce meaningful insights.
- Experience preparing, cleaning, and working with complex datasets.
- Foundational understanding of statistics.
Nice-to-Have Skills
- Experience working with HR data.
- Experience working with sensitive data, such as salary or compensation data.
- Understanding of data flow across systems.
- Familiarity with BigQuery.
- Exposure to AWS or similar cloud environments.
Additional Information
Required Tools & Platforms
- Python
- SQL
- Tableau
- Snowflake
- BigQuery preferred
- AWS or similar cloud environment preferred
Location, Time & Engagement
- Remote role open to LATAM-based contractors.
- US hours overlap required.
- Full-time contract engagement.
- Expected allocation is 40 hours per week.
- Contract expected to run through March 31, 2027.
We are seeking a Sr. Data Analyst to support enterprise reporting, dashboard development, and applied data analysis for an evolving analytics project. This role will focus on Tableau reporting, SQL/Python analysis, data cleaning and preparation, and translating business questions into meaningful insights and outcomes.
Enterprise experience strongly preferred.
Key Responsibilities
- Build, maintain, and support enterprise-level reporting and dashboards in Tableau.
- Work with complex and sensitive datasets, including salary-related data.
- Use SQL and Python to perform data analysis, analytical deep dives, and data preparation.
- Take business questions and translate them into insights, conclusions, and actionable outcomes.
- Own data cleaning responsibilities to ensure datasets are accurate, usable, and analysis-ready.
- Apply foundational statistics to support analysis where needed.
- Work within an evolving project environment with curiosity, flexibility, and a willingness to learn.
- Collaborate with data engineering partners and understand data flow across systems, even though API automation will be handled by the Data Engineer.
Qualifications
Must-Have Skills
- Strong applied data analysis experience using Python.
- Python data cleaning experience.
- SQL experience.
- Tableau experience, including enterprise reporting and dashboard work.
- Snowflake experience.
- Ability to analyze business questions and produce meaningful insights.
- Experience preparing, cleaning, and working with complex datasets.
- Foundational understanding of statistics.
Nice-to-Have Skills
- Experience working with HR data.
- Experience working with sensitive data, such as salary or compensation data.
- Understanding of data flow across systems.
- Familiarity with BigQuery.
- Exposure to AWS or similar cloud environments.
Additional Information
Required Tools & Platforms
- Python
- SQL
- Tableau
- Snowflake
- BigQuery preferred
- AWS or similar cloud environment preferred
Location, Time & Engagement
- Remote role open to LATAM-based contractors.
- US hours overlap required.
- Full-time contract engagement.
- Expected allocation is 40 hours per week.
- Contract expected to run through March 31, 2027.