Live opening · Posted 1 day ago

Analyst

Bilson&co · United Kingdom (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyBilson&co
LocationUnited Kingdom (Remote)
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Company Description Bilson&co is a growing organization that focuses on delivering data-driven insights to support strategic and operational decisions. The company values analytical rigor, clear communication, and collaborative problem-solving. Team members work closely with stakeholders across functions to translate complex information into practical recommendations. Bilson&co aims to create an inclusive work environment where diverse perspectives are encouraged and respected.
Role Description This temporary remote Analyst role focuses on collecting, organizing, and interpreting data to support business decisions. The Analyst will build and maintain reports, dashboards, and models to track key performance indicators and identify trends. Daily responsibilities include validating data quality, performing quantitative and qualitative analyses, and preparing concise summaries for internal stakeholders. The role also involves collaborating with team members to refine assumptions, improve analytical frameworks, and support ad hoc research requests. The Analyst is expected to manage priorities independently while maintaining clear and timely communication in a remote setting.
Qualifications
Strong analytical and problem-solving skills, including experience with data interpretation and trend identification.
Proficiency with spreadsheets and data tools (e.g., Excel, Google Sheets, basic BI or analytics platforms).
Ability to create clear reports and presentations that communicate complex information in an accessible way.
Effective written and verbal communication skills, with attention to detail and accuracy.
Capability to work independently in a remote environment and collaborate with cross-functional teams.
Relevant educational background in business, economics, statistics, finance, or a related field, or equivalent practical experience.
Experience with basic statistical methods or data modeling is beneficial.
Familiarity with project management practices and the ability to manage multiple tasks and deadlines.

Work arrangement
Yes

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