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.
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.
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.
Skills Required
- 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
- Enterprise experience
- 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
What We Do
Lifted, an Upwork Company, is a B2B SaaS platform that helps enterprise organizations source, contract, manage, and pay contingent talent globally and compliantly. It supports multiple engagement models, including independent contractors, staff augmentation, and employer-of-record, while integrating with MSPs and VMSs to provide centralized visibility, spend control, and audit-ready compliance, delivering a white-labeled talent experience for hiring managers and contingent workforce programs.
