Data Analyst

6 days ago


Sydney, Australia Nixil Full time

**Work options**:
As an experienced **Data Analyst**, you will play a key role in analyzing business data, identifying trends, and supporting data-driven decision-making.

You’ll work closely with business and technical teams to ensure data integrity, optimize processes, and enhance business intelligence solutions.

**What You’ll Do**
- Conduct **data lineage analysis, A-C mapping, data profiling, and querying** to ensure data accuracy and consistency.
- Perform **process and data analysis, mapping, and re-engineering** to optimize business workflows.
- Support **data migration and systems integration projects**, ensuring seamless transitions and data integrity.
- Write **functional, data, and technology service specifications** to support business and IT stakeholders.
- Develop **user stories and acceptance criteria** aligned with Agile principles.
- Collaborate with cross-functional teams to implement **data solutions, dashboards, and reporting tools**.
- Utilize **SQL** to extract, analyze, and interpret data, supporting business insights.
- Leverage your **financial services industry experience** to drive data solutions that meet regulatory and operational requirements.

**What We’re Looking For**
- ** 5+ years of combined experience** in Business Analysis, Technical Analysis, and Data Analysis.
- Tertiary qualifications in **Business, Information Technology, or equivalent experience**.
- Strong understanding of **Project Management, Agile & Waterfall delivery models**.
- Hands-on experience with **data profiling, migration, querying, and analytics**.
- ** Systems integration and API exposure** - experience with integration technologies is a plus.
- ** Proficiency in SQL** for data extraction, transformation, and analysis.
- Ability to write clear and concise **technical and functional documentation**.
- ** Excellent communication and problem-solving skills**, with high attention to detail.
- Resilient, adaptable, and able to work in a fast-paced, deadline-driven environment.

**Bonus Points For**
- Experience in **data visualization tools** (e.g., Power BI, Tableau).
- Exposure to **cloud platforms** (AWS, Azure, Google Cloud) and data lakes.
- Knowledge of **machine learning, AI, or advanced analytics** (not mandatory but a great plus).


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