Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a long-term remote contract, offering a pay rate of "X". Candidates must have 5+ years of SQL and Tableau experience, strong Excel skills, and a relevant BA/BS degree or equivalent work experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
-
πŸ—“οΈ - Date discovered
September 20, 2025
πŸ•’ - Project duration
Unknown
-
🏝️ - Location type
Remote
-
πŸ“„ - Contract type
W2 Contractor
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#Programming #Computer Science #R #Workday #Data Management #Databases #Data Analysis #Base #Forecasting #SQL (Structured Query Language) #Data Quality #Visualization #Stories #Pivot Tables #Statistics #Tableau #Data Integrity #Microsoft Excel
Role description
Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. β€œTomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries. β€’ β€’ β€’ β€’ β€’ β€’ NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future β€’ β€’ β€’ Data Analyst Remote Long term Qualifications: β€’ 5+ years of experience with SQL (or similar language aimed at querying relational databases) β€’ 5+ years of experience creating custom reports/dashboards and building visualizations in Tableau data visualization tools (SQL, R, Tableau, SASS, etc.) β€’ BA/BS in a field that emphasizes data analysis and visualization (e.g., computer science, social sciences, physical sciences, math, engineering, or statistics), or equivalent work experience β€’ Must have intermediate/advanced Microsoft Excel skills (conditional formulas and formatting, charting, pivot tables, Vlookup, etc.) β€’ Experience with data management, specifically with validating and auditing data and reports from multiple systems β€’ Experience manipulating large data sets through statistical software or other methods β€’ Document reporting requirements with stakeholders, and partner with People Insights and People Analytics on iterations and changes to core dashboards and solutions β€’ Pull, organize, and analyze relevant data from multiple sources, and use tools and programming languages such as Tableau, Hive, Excel, Workday, and Visier β€’ Partner and align with cross-functional teams such as Research, Forecasting Analytics, and Engineering in executing best practices in data gathering and analytics β€’ Collaborate with business partners to create dashboards that display meaningful and actionable key performance indicators (KPI’s) β€’ Translate data and trends into stories to drive business decisions β€’ Create visualizations from which leaders can easily draw insights and recommendations β€’ Triage requests for people data and ad hoc reports, prioritize requests, and effectively communicate appropriate delivery expectations β€’ Maintain code-base (SQL) used to drive self-service tools, and recommend opportunities for improvement β€’ Build and automate easy to use, self-service reports and dashboards β€’ Provide direction and coaching to end users on how to use and interpret metrics β€’ Deliver standard reports/dashboards on a regular cadence β€’ Audit data integrity, investigate concerns, and establish processes to streamline and improve data quality Top 3 must-have HARD skills: β€’ Must have intermediate/advanced Microsoft Excel skills (conditional formulas and formatting, charting, pivot tables, Vlookup, etc.) β€’ Experience with data management, specifically with validating and auditing data and reports from multiple systems β€’ Experience manipulating large data sets through statistical software or other methods Good to have skills: β€’ Audit data integrity, investigate concerns, and establish processes to streamline and improve data quality