SQL Data Analyst (On-Site) at Conexus Recovery and Field Services
Derry BT48 6JN, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

45000.0

Posted On

20 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Relational Databases, Storytelling, Sql, Tableau, Analytical Skills, Time Management, Excel, Power Bi, Sql Server, Mysql

Industry

Information Technology/IT

Description

Job Title: SQL Data Analyst
Location: BT48 Full-Time, (Northern Ireland Residents ONLY)
Salary Range: £35,000 – £45,000 per annum
Company: Conexus Recovery & Field Services

POSITION OVERVIEW:

We are looking for a skilled and motivated SQL Data Analyst to join our team. In this role, you will be responsible for extracting, analyzing, and interpreting complex datasets to produce actionable insights that drive business performance. You’ll work closely with internal teams to deliver accurate reporting and support data-led decision-making.

SKILLS & EXPERIENCE REQUIRED:

  • Advanced knowledge of SQL for data querying and manipulation
  • Experience working with relational databases such as SQL Server or MySQL
  • Strong analytical skills with a focus on data accuracy and storytelling
  • Proficiency in Excel; experience with Power BI, Tableau, or similar tools is an advantage
  • Ability to interpret complex datasets and communicate findings clearly
  • Strong time management and organisational skills
Responsibilities
  • Develop and run SQL queries to extract, cleanse, and analyze data from various internal systems
  • Design and deliver regular and ad-hoc reports to support operational and strategic goals
  • Translate business requirements into clear data questions and reporting outputs
  • Identify trends, anomalies, and performance drivers through in-depth data analysis
  • Support the development of dashboards and visual reports using tools like Power BI
  • Maintain high standards of data integrity and ensure reporting accuracy
  • Collaborate with stakeholders to continuously improve data processes and insights
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