Data Analyst - Finance

DWS is seeking a Data Analyst to join a large‑scale financial services Data Platform Modernisation Program, supporting the transition to a modern, enterprise‑grade data platform built on Databricks. Working closely with Business Analysts, Data Modellers, Data Stewards and business stakeholders, this role plays a critical part in delivering trusted, high‑quality data that supports regulatory reporting, risk, analytics and decision‑making within a complex financial services environment.

The Data Analyst will analyse, profile and validate financial data as it moves from source systems through standardisation and governance to analysis‑ready datasets.

Financial services domain experience is highly desirable, with a strong understanding of the importance of data quality, lineage, controls and consistency in regulated environments.

Where: Melbourne CBD

Type: Max Term

Start: ASAP

Length: 12 months, extention possible

Style: Hybrid; 3+ days onsite

Salary: Up to $185K (inc. super) depending on experience

Key responsibilities include

• Defining cleaned and conformed entity structures across financial services source systems
• Mapping source financial data types to standardised logical data models
• Defining deduplication logic and uniqueness rules for customer, account and transactional data
• Defining SCD strategies (Type 1, 2 or 3) aligned to financial and regulatory business requirements
• Defining and documenting robust data quality rules including nullability, ranges, referential integrity and format validation
• Mapping source fields to standardised naming conventions aligned to enterprise financial data standards
• Producing logical ERDs across data layers, including attributes, relationships and cardinality
• Creating and maintaining attribute catalogues, SCD strategy documents and data quality rule catalogues
• Developing detailed source‑to‑target mapping documentation across Bronze, Silver (standardised and canonical) and Gold layers

To be successful in this role, you will bring:

• Strong experience in data analysis, profiling and validation across complex financial services data pipelines
• Proven understanding of data modelling and data engineering concepts, including entity design, SCD strategies and source‑to‑target mappings
• Hands‑on experience defining and implementing data quality rules in regulated or risk‑aware environments
• Significant experience working with financial data domains such as customers, products, transactions or reporting
• Experience working on modern data platforms or transformation programs, ideally Databricks or lakehouse environments
• Familiarity with end‑to‑end data lifecycle artefacts including ERDs, attribute catalogues and data quality frameworks
• Experience working in cross‑functional, governed data teams alongside Business Analysts, Data Modellers and Data Stewards

Since 1991, DWS has been helping organisations across Australia reimagine what’s possible through technology, business, and management consulting. With offices in Melbourne, Sydney, Adelaide, Brisbane, and Canberra, our 300+ locally based consultants bring deep expertise and fresh thinking to every project. We deliver end-to-end solutions spanning IT consulting, Staff Augmentation, Managed Delivery, Data & Analytics, Cloud, AI and Automation.

Our strength lies in our people; each consultant is carefully selected for their expertise, creativity, and commitment to excellence. Together, we deliver impactful solutions that drive innovation, efficiency, and long-term value. At DWS, we don’t just meet expectations - we redefine them.

Applicants must hold Australian Citizenship, Permanent Residency (PR), or other permanent work rights – DWS are unable to sponsor or support visas.

Ready for a new challenge? Click APPLY now!

www.dws.com.au

No agencies please – our in-house talent acquisition team have this covered.