Power BI Data Modeller
About INGRITY
We are a fast-growing, progressive Sydney based Data & Analytics company. We service many large corporates and SMBs in the financial services sector, to derive value from data.
At Ingrity, we are committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration, and flexibility. As part of our growth strategy, we are inviting expressions of interest from eligible candidates to join our team and help our clients achieve their goals.
About the job
This is a Power BI Data modeller role responsible for delivering Data models, design standards, end to end data mapping documents for our Banking and Financial services clients. The role is offered as a long-term contract position.
Responsibilities:
Key Skills & Experience
At least 5 years of working experience working in Data modelling and data solution design in a fast-paced environment and complex business setting. Experience in data modelling, preferably in financial services.
Strong proficiency in SQL and database query optimization and tuning
Experience with data modelling tools such as Erwin Data Modeler and similar software as well as dimensional data warehouse methods (e.g., Data Vault) to support enterprise data integration and warehousing needs
Experience working in close collaboration with data analysts and data scientists to deliver data for analysis and reports, business dashboards, and machine learning models
Experience working with varied forms of data infrastructure inclusive of ERP (Enterprise Resource Planning) applications, relational databases,APIs, Platforms such as Azure Databricks or Snowflake, Hadoop, Spark
Experience working with cloud big data platforms such as Microsoft Azure, AWS (Amazon Web Services), and GCP.
Ability to utilize Business Intelligence tools (Power BI) to represent insights
Strong SQL and Python skills to analyse data and provide insights
Non-Technical capabilities:
Soft skills
Exceptional written, verbal, and interpersonal communication skills to be able to bridge the gap between business and technical teams
Ability to work within complex and challenging data environments o Proven experience in collaborating with internal, analytics, reporting and data teams o Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment