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Data Analyst

Cross Sphere Partners

Sydney, New South Wales, Australia دوام كامل

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خبرة
2-4 سنوات
مرتب
الوظائف الشاغرة
1
تم النشر
٨ مرات
وضع العمل
في المكتب
سيرة ذاتية
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مكان عملك

المسمى الوظيفي

About The Role

We are looking for a proficient Data Analyst to join our Client Service Team based in North Sydney, NSW. This full-time permanent position starting August 2026, reports directly to the Operations Manager and plays a critical role in converting raw data into meaningful insights that enhance operational effectiveness, improve client service, and assist strategic decision-making throughout the organization. The ideal candidate is a mid-level data professional passionate about problem-solving through data analysis.

Key Responsibilities

  • Gather, cleanse, and analyze datasets from diverse platforms such as CRM, finance systems, and client feedback tools.
  • Create and sustain dashboards and reports that monitor key performance indicators focused on client service, operational efficiency, and company growth.
  • Detect trends, patterns, and irregularities to provide actionable insights to the Operations Manager and senior leadership.
  • Offer ad-hoc analytical support to client service teams aimed at enhancing response rates, client satisfaction, and retention.
  • Work collaboratively with various departments to establish data requirements and standardize reporting procedures.
  • Automate repetitive reporting tasks and enhance data accuracy across systems.
  • Communicate analysis outcomes effectively to stakeholders without technical backgrounds through data visualization tools.

Requirements

  • Experience of 2 to 4 years in data analysis roles, ideally within professional services, B2B, or service provider sectors.
  • Strong command of SQL for data retrieval and manipulation.
  • Proficient with data visualization software like Tableau, Power BI, or Looker Studio.
  • Advanced skills in Microsoft Excel, including power queries, pivot tables, and complex formulas.
  • Knowledge of CRM platforms such as Salesforce or HubSpot, along with Google Analytics.
  • Basic familiarity with Python or R is a plus, but not mandatory.
  • Excellent analytical thinking and meticulous attention to detail.
  • Effective communication skills for transforming complex data into clear business insights.

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