Project Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Project Data Analyst with a contract length of unknown duration, offering $56.00/hr. Candidates must have 5+ years in a data-focused role, preferably in private equity, and possess strong project management skills and advanced Excel proficiency.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
448
🗓️ - Date discovered
May 7, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
New York City Metropolitan Area
🧠 - Skills detailed
#Data Science #Consulting #Project Management #Consul #Tableau #Data Analysis #Datasets #Microsoft Excel
Role description
Pay Rate: $56.00/hr on w2 This role could be fully remote, candidates should be from east-coast/EST timeframe Education: Bachelor’s degree in Finance, Economics, Business Administration, Data Science, or a related field. Experience: • 5+ years in a data-focused role, preferably within private equity, investment banking, consulting, or financial services. • Strong project management skills, including project planning and control, stakeholder management, status tracking and reporting, issue, risk and budget management • Proven track record of working with large datasets and delivering actionable insights through reporting. • Technical Skills: Advanced proficiency in Microsoft Excel, expereince with PowerBI or Tableau • Preferred experience with eFront, Salesforce, and portfolio management software. • Industry Knowledge: Understanding of private equity lifecycle (deal sourcing, due diligence, portfolio management, exit strategies) is preferred. • Communication: Polished written and verbal communication skills able to effectively interact and influence a diverse set of business and technical stakeholders. Key Competencies • Analytical Thinking: Ability to break down complex datasets into clear, actionable insights. • Attention to Detail: High level of accuracy in data handling and reporting. • Time Management: Ability to prioritize tasks and deliver under tight deadlines in a fast-paced environment. • Problem-Solving: Proactive approach to identifying and resolving data-related challenges. • Team Player: Collaborative mindset with a willingness to support cross-functional teams.