Data Analyst

Job not on LinkedIn

🕒 May 17

🇬🇧 United Kingdom – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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CEOX

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

🤝 B2B

📚 Education

🎯 Recruiter

B2B • Education • Recruitment

CEOX is a highly vetted, mission-driven community and leadership network that advances women into the C-suite and CEO roles by connecting executive women with peer cohorts, leadership programs (e. g. , Ready to Rise), executive coaching, board and career opportunities, recruiting services, and sponsorship/partnership options. It supports members with confidential executive cohorts, candidate lists and job board access for recruiters, premium investment resources, and exclusive peer forums to reduce isolation at the top and increase access to leadership opportunities.

📋 Description

• Collect, clean, validate and manage data from multiple systems and sources. • Perform data analysis to identify patterns, trends, and correlations. • Develop and maintain dashboards, visualisations, and reports using BI/analytics tools. • Work closely with business and technical stakeholders to understand requirements and translate them into data solutions. • Ensure data integrity, compliance, and alignment with governance and security standards. • Produce clear, visually compelling insights for non-technical audiences and decision-makers. • Support data structuring and organisation across systems and connected platforms.

🎯 Requirements

• Strong analytical capability with proven experience interpreting complex datasets. • Excellent written and verbal communication skills, capable of translating data into clear insights. • High attention to detail with strong data quality and validation discipline. • Experience with reporting and BI tools (e.g., Power BI, Tableau, Qlik, Excel BI). • Experience using Python or R for statistical analysis or automation (desirable). • Knowledge of statistical modelling, forecasting, or predictive analytics (desirable). • Experience with Azure data services, SQL or cloud-based data stacks (desirable). • Understanding of ETL processes, data warehousing and large-volume data handling (desirable).

🏖️ Benefits

• Health insurance • Pension scheme • Flexible working hours • Professional development opportunities