Data Specialist

21 hours ago

Sydney, New South Wales, Australia NBT Coal Full time $60,000 - $80,000 per year

Role Description

The Data Specialist is responsible for collecting, managing, analyzing, and maintaining high-quality data that supports decision-making and operational efficiency across the organization. This role ensures data accuracy, integrity, and accessibility, playing a vital part in transforming raw data into actionable insights. The ideal candidate is analytical, detail-oriented, and methodical, with a passion for working with data and improving information systems.

Key responsibilities include gathering and validating data from multiple internal and external sources, cleaning and organizing datasets, and maintaining databases to ensure consistency and reliability. The Data Specialist will assist in designing and implementing data management processes, data quality standards, and reporting frameworks. They will collaborate with business and technical teams to understand data requirements, support analytics initiatives, and ensure that data flows seamlessly across systems and departments.

The role involves generating regular and ad-hoc reports, creating dashboards, and assisting in performance monitoring and data visualization. The Data Specialist will also help identify trends, anomalies, and insights that support strategic business decisions. Additionally, they will ensure compliance with data governance and privacy policies while contributing to process automation and system optimization efforts.

The ideal candidate demonstrates strong analytical thinking, organizational ability, and communication skills. They should be comfortable working with large datasets, using analytical tools, and supporting cross-functional teams in data-driven projects. This position offers a valuable opportunity to develop skills in data analysis, database management, and business intelligence within a fast-paced and technology-driven environment.

Qualifications

  • Bachelor's degree in data science, statistics, computer science, information systems, or a related field.
  • Strong understanding of data management principles, including data cleaning, validation, and governance.
  • Proficiency in Microsoft Excel and experience with SQL for data querying and manipulation.
  • Familiarity with data analysis or visualization tools such as Power BI, Tableau, or Google Data Studio.
  • Knowledge of programming languages such as Python or R is advantageous.
  • Strong attention to detail and commitment to data accuracy and integrity.
  • Excellent analytical, organizational, and problem-solving skills.
  • Effective communication and collaboration skills for working with cross-functional teams.
  • Ability to manage multiple data projects simultaneously and meet deadlines.
  • Familiarity with database systems (e.g., MySQL, PostgreSQL, or Oracle) and cloud-based data platforms is a plus.

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