Senior Data Analyst - REMOTE

Jobgether
3dRemote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Analyst. This role is vital in offering expert insights into the residential property market, facilitating informed decision-making for a diverse array of clients, including lenders and developers. As a key member of the data team, you will manage vast datasets and conduct in-depth analyses, contributing substantially to the growth and innovation of our partner's services. Your analytical expertise and strong communication skills will empower the team to present compelling data-driven narratives, enhancing client relationships and project outcomes.

Requirements

  • Degree qualified with robust analytical skills and meticulous attention to detail.
  • Proficiency in interpreting complex data and presenting conclusions clearly.
  • Experience analyzing property/valuation data.
  • Exceptional written and verbal communication skills.
  • Strong IT and Microsoft Office skills, including Excel, PowerBI, Word, and PowerPoint.
  • Keen interest in current affairs and the residential property market.
  • Excellent time management skills to prioritize tasks and manage multiple projects.

Nice To Haves

  • Familiarity with coding languages such as SQL and DAX is highly desirable.

Responsibilities

  • Manage, maintain, and analyze extensive datasets to uncover new insights.
  • Conduct AVM analysis and prepare comprehensive reports on residential development, planning, and investment queries.
  • Collaborate with Data Sales colleagues to produce high-quality data outputs, including presentations for clients.
  • Present AVM findings and commentary to the research team and clients.
  • Actively participate in various projects and initiatives within the AVM team.
  • Support senior management in client meetings, often at C-suite level.

Benefits

  • Opportunity to work with a dynamic data team on impactful projects.
  • Flexible remote working arrangements.
  • Engagement with a diverse client base, enhancing professional relationships.
  • Opportunity for personal and professional growth in data analysis.
  • Supportive and inclusive work environment fostering innovation.
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