Job Description

Important Notes:

• Due to the nature of this opportunity, visa sponsorship or application through a 3rd party/employer will not be considered.

Data Analyst (SQL/Data Warehousing)

Optomi, in partnership with a leading telecommunications client, is seeking a detail-oriented and technically skilled Data Analyst to support its growing data analytics initiatives. This role is ideal for a data-savvy professional who enjoys turning complex datasets into actionable insights, supporting strategic decision-making across business units.

What the right candidate will enjoy!

• The opportunity to support high-impact analytics in a large enterprise environment
• Hybrid work arrangement with a collaborative and cross-functional data team
• Engaging with varied data sources and advanced reporting tools

Experience of the right candidate:

• Bachelor’s degree in Data Analytics, Information Systems, Statistics, Computer Science, or a related field
• 2–5 years of experience in a data analyst or similar data-focused role
• Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL, PostgreSQL)
• Proficiency in tools such as Power BI, Tableau, or Excel for dashboards and reporting
• Analytical mindset with the ability to interpret and present complex data sets
• Excellent attention to detail, documentation, and communication abilities

Preferred Experience:

• Background in ETL processes and scripting with Python or R
• Experience working in large enterprise or telecommunications environments
• Familiarity with data governance and compliance best practices

Responsibilities of the right candidate:

• Collect, extract, and analyze structured and unstructured data from various sources, including databases, spreadsheets, and web data
• Develop and maintain SQL queries, stored procedures, and automation scripts to support streamlined workflows
• Create scheduled and ad hoc dashboards and reports to drive business operations
• Validate and troubleshoot data accuracy, completeness, and quality across systems
• Collaborate with business units to understand data needs and translate them into meaningful insights
• Document data requirements, processes, and logic to ensure repeatability and transparency
• Provide timely, data-driven responses to internal inquiries and ad hoc stakeholder requests
• Support the ongoing evolution of data governance, security, and compliance initiatives

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