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Data Analyst

Job Title: Data Analyst
Contract Type: Permanent
Location: Sydney
Salary: $80,000 to $100,000
Reference: 2770449
Job Published: July 02, 2018 12:01

Job Description

We are looking for data analysts with good exposure using SQL/excel to join a well known insurance business based in the CBD.

Bullet Points
  • SQL, Python environment
  • Learn machine learning & AI
  • $80,000 to $100,000
Full Job Description
Data Analyst - SQL/Excel - Government

We are looking for data analysts with good exposure using SQL & Excel to join a well known financial institution company based in the CBD. This role will give you outstanding commercial and internal growth for your career.
  • Degree within Data Analysis or other related field
  • 2+ years experience as a Data Analyst using SQL
  • 1 - 3 years experience using SQL to write queries
  • Interest in analytics and hunger to learn more
  • Any exposure
  • Experience exploring large sets of data from predefined requirements
  • Experience in data quality and process improvement
  • Experience of extracting data from multiple databases and understanding inter-relationships and mapping criteria
  • Ensure established data management processes and procedures are being followed accurately and efficiently
  • Prepare data monitoring reports to identify data quality and completeness issues across the enterprise system landscape
  • Take ownership of data quality exceptions and ensure that these are resolved in line with cross functional and entity data requirements
  • Continuous improvement of processes and procedures, highlighting inefficiencies and recommending and implementing change
  • Active involvement in key projects, ensuring that enterprise data requirements can be met and supported
  • Strong communication skills
  • Proficiency in SQL 
  • Ability to understand the interrelationship of data across systems and ability to extract and analyse data
  • MS Excel (Macros) and Office
  • Strong communication skills are essential for interacting at all levels and across business disciplines
  • Willingness to learn and take ownership of completing tasks
  • Ability to solve problems and explain underlying issues to non-technical colleagues

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