INGIMA

About the Role
A leading insurance company is seeking an experienced Data Systems Analyst &amp; Developer for a hybrid role combining
50% systems analysis and 50% hands-on development
. The position combines aspects of Data Engineering and Data Analysis, with end-to-end responsibility for translating business requirements into technical specifications, developing data solutions, and deploying them to production.
Key Responsibilities
<ul>
<li>Work directly with business stakeholders and clients to gather, analyze, and define requirements.</li>
<li>Write detailed functional and technical specifications.</li>
<li>Develop and maintain ETL/ELT processes and data integration solutions.</li>
<li>Write complex SQL queries and optimize database performance.</li>
<li>Design data models and DWH structures.</li>
<li>Work end-to-end, from requirements gathering and analysis through development, testing, and production deployment.</li>
<li>Collaborate with development, QA, infrastructure, and business teams.</li>
</ul>
Requirements
<ul>
<li>5+ years of experience in both data systems analysis and development.</li>
<li>Strong SQL skills, including complex queries and performance optimization.</li>
<li>Hands-on experience developing and maintaining ETL processes –
mandatory
.</li>
<li>Proven ability to gather business requirements and translate them into technical specifications.</li>
<li>Experience working with relational and non-relational databases.</li>
<li>Strong understanding of data modeling, Star Schema, and normalization.</li>
<li>Experience working independently within a team in a large enterprise environment.</li>
<li>Cloud environment experience – an advantage.</li>
</ul>
Personal Skills
<ul>
<li>Strong analytical and problem-solving abilities.</li>
<li>Independent, proactive, and energetic, with a hands-on approach.</li>
<li>High ownership and accountability, with the ability to take initiative and think ahead.</li>
<li>Strong communication skills and confidence working directly with clients and business stakeholders.</li>
<li>Motivated, curious, and eager to learn and deliver results.</li>
</ul>
Important:
Candidates should have experience in large organizations and established enterprise environments, rather than exclusively in small companies or startups.

Data Systems Analyst & Developer (5491)

Data Systems Analyst & Developer (5491)

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