Data Solutions & Reporting Engineer

SmartRecruiters, Inc.; Western Australia; On-site; AUD 90,000 - 130,000; Full time

Job summary

NCS Australia seeks a Data Support Engineer to discover, analyse and document enterprise data assets, reporting requirements, and business processes to support analytics initiatives across the organisation.

You will design data models, document data lineage, and contribute to data warehousing, ETL, dashboards, and reports while addressing data quality issues and identifying new reporting opportunities for stakeholders.

Qualifications

• Experience in business analysis, requirements gathering, and stakeholder engagement.
• Proven expertise in data modelling, data warehousing, and SQL.
• Experience documenting data sources, data lineage, business requirements, and reporting solutions.
• Ability to identify and resolve data quality issues.
• Experience with reporting, dashboards, and data transformation initiatives.
• Exposure to Snowflake, Informatica, SSIS, Oracle, ServiceNow, and ITSM is desirable.
• Strong communication, analytical, and documentation skills.
• Deliver business and technical documentation, data models, reporting specifications, and data quality assessments.

Responsibilities

• Discover, analyse, and document enterprise data assets, reporting requirements, and business processes to support reporting and analytics initiatives.
• Design and maintain data models; develop documentation for data marts, ETL processes, reports, and dashboards.
• Contribute to data warehousing and data transformation activities; support incident resolution to ensure data accuracy.

Skills

Business Analysis

Data Modelling

SQL

Documentation

Data Reporting

Data Transformation

Tools

Snowflake

Informatica

SSIS

Oracle

ServiceNow

ITSM

Job description

NCS Australia seeks a Data Support Engineer to discover, analyse and document enterprise data assets, reporting requirements, and business processes to support analytics initiatives across the organisation.

You will design data models, document data lineage, and contribute to data warehousing, ETL, dashboards, and reports while addressing data quality issues and identifying new reporting opportunities for stakeholders.