Lifted, an Upwork Company
Technology
SeniorDataAnalyst
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“Senior Data Analyst at Lifted, an Upwork Company. Skills: Tableau reporting, SQL analysis, Python analysis, Data cleaning, Data preparation. Build enterprise-level reporting. Maintain enterprise-level reporting”
What You'll Achieve.
Produce meaningful insights; Produce conclusions; Produce actionable outcomes
Industry & Context.
Translate business questions into insights; Translate business questions into conclusions; Translate business questions into actionable outcomes
US hours overlap required
What They're Looking For.
Must Have
Applied data analysis experience using Python, Python data cleaning experience, SQL experience, Tableau experience, Snowflake experience, Analyze business questions and produce insights, Prepare, clean, and work with complex datasets, Foundational understanding of statistics
Nice to Have
Experience working with HR data, Experience working with sensitive data, Understanding of data flow across systems, Familiarity with BigQuery, Exposure to AWS or similar cloud environments
What You'll Do.
Build enterprise-level reporting
Maintain enterprise-level reporting
Support enterprise-level reporting
Build dashboards in Tableau
Maintain dashboards in Tableau
Support dashboards in Tableau
Perform data analysis using SQL
Perform data analysis using Python
Perform analytical deep dives
Perform data preparation
Own data cleaning responsibilities
Apply foundational statistics to analysis
How You'll Work.
Team & Collaboration
Collaborate with data engineering partners
Full 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,
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