Data Analyst (Analytics)

Job Description

We are looking for a responsible Analyst for overseeing our data systems and reporting frameworks, guaranteeing the integrity and precision of data. The ideal candidate will efficiently and accurately review and process data, Identify data anomalies, Creation and fulfillment of customer solutions and maintain quality control review of customer solutions. This position encompasses a comprehensive analysis lifecycle, covering requirement gathering, activity execution, and design planning. Data analysts are tasked with enhancing analytical and reporting functions, as well as supervising performance and quality assurance processes to pinpoint areas for enhancement.

What you’ll do

• Works in Data and Analytics under the close supervision of the team manager or senior associates

• Leverage coding best practices to ensure efficient execution of code against large datasets

• Run standard processes to ensure metrics, reports and insights are delivered consistently to stakeholders

• Leverage knowledge of data structures to prepare data for ingestion efforts analysis, assembling data from disparate data sources for the creation of insights

• Integrate Equifax, customer and third party data to solve basic internal or customer analytical problems and report findings to managers and internal stakeholders

• Review output of code for anomalies and perform analysis to determine cause, and work with Data, Analytics, Product and Technology counterparts to implement corrective measures

• Supports discussion on impact and importance of findings on the business (either Equifax or external customer)

• Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals
  

What experience you need

• 6 months to 2 years of proven experience as a Data Scientist or Data Analyst

• Cognizance of BFSI or marketing analytics landscape
  Experience of working with R, SQL and Python

• Experience of using business intelligence tools (e.g. Tableau, Looker) and data frameworks (e.g. BigQuery) Analytical mind and business acumen

• Strong math skills (e.g. statistics, algebra) Problem-solving aptitude

• Excellent communication and presentation skills

• Experience with common data science toolkits, such as R, NumPy, Pandas, scikit-learn. Excellence in at least one of these is highly desirable

• Prior experience in building & monitoring analytics quality assurance platforms

• Experience with cloud analytics platforms (AWS, Azure, GCP) – GCP is highly desirable

• Understanding of Australian lending ecosystem from a bureau perspective is a huge plus

What could set you apart

• Good applied statistics skills, such as distributions, statistical testing, regression, etc.

• Data-oriented personality with keen attention to detail

• Ownership! Ownership! Ownership!

• Active Cloud Certificate