Data Analyst – Flexible Hours

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🏢 Career.zycto📍 Macquarie Park, Sydney💼 Full-Time💻 Hybrid🏭 Information Technology and Services💰 AUD 80,000 - 100,000 per year

About Company

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Are you driven by insights and the power of data? Career.zycto offers a dynamic environment where your analytical prowess can truly shape the future. We are a forward-thinking consultancy, committed to leveraging cutting-edge technology to solve complex business challenges for our diverse client portfolio. Join a collaborative team that values curiosity, innovation, and impactful results. We understand that data analysts thrive on meaningful projects and continuous learning, which is why we provide ample opportunities for professional growth and skill development. Your contributions here will directly influence strategic decisions, making a tangible difference for both our company and our clients.

Job Description

Career.zycto is seeking a passionate, detail-oriented, and innovative Data Analyst to join our expanding team in Macquarie Park, Sydney. In this hybrid role, you will be instrumental in transforming raw, complex data into actionable insights that directly drive strategic business decisions and optimize operational efficiencies. We are looking for someone who thrives in a collaborative environment, possesses strong analytical capabilities, and is eager to contribute to a company that deeply values innovation, impact, and a data-driven culture. This position offers the benefit of flexible hours, allowing you to manage your work-life balance effectively while making significant and visible contributions to our projects and clients.

As a Data Analyst at Career.zycto, you will play a crucial role from data inception to insight delivery. Your responsibilities will span across gathering, cleaning, transforming, and meticulously analyzing large datasets to identify hidden trends, critical patterns, and predictive insights. You will work in close collaboration with various internal departments, including product development, marketing strategy, and operations management, to thoroughly understand their unique data needs and deliver tailored, robust analytical solutions. Your exceptional ability to translate complex data findings into clear, concise, and compelling visualisations and comprehensive reports will be absolutely key to your success and ability to influence stakeholders.

The ideal candidate will possess a solid foundation in statistical analysis, advanced database management techniques, and proficiency with leading data visualisation tools. You will be expected to identify and define key performance indicators (KPIs), develop sophisticated dashboards, and continuously monitor business performance against established organizational and client goals. Furthermore, you will actively contribute to improving overall data quality, implementing robust data governance best practices, and automating reporting processes to enhance efficiency and accuracy across the board. This is more than just number-crunching; it’s about crafting compelling narratives with data and influencing critical business outcomes that deliver real value.

We believe in empowering our employees with the best tools, resources, and the autonomy they need to excel in their roles. Career.zycto provides a supportive and dynamic culture where continuous learning, professional development, and knowledge sharing are not just encouraged, but celebrated. You will have the unique opportunity to work on diverse projects across various industries, continuously expanding your skill set, embracing new technologies, and challenging yourself with novel analytical problems. If you are a proactive problem-solver with a keen eye for detail, a strong analytical mindset, and a genuine desire to make a real, measurable impact through data, we wholeheartedly encourage you to apply and become a vital part of our growing, forward-thinking team.

Key Responsibilities

  • Collect, clean, and process raw data from various sources to ensure data integrity and usability.
  • Perform in-depth statistical analysis to identify trends, patterns, anomalies, and actionable insights.
  • Develop and maintain dynamic dashboards, reports, and data visualizations using industry-leading tools like Tableau, Power BI, or Looker.
  • Collaborate closely with internal stakeholders across product, marketing, and operations to understand data requirements and translate them into effective analytical solutions.
  • Define, monitor, and report on key performance indicators (KPIs) to track business performance and provide regular, insightful performance reports.
  • Identify opportunities for data quality improvement, implement data governance best practices, and ensure compliance with data privacy regulations.
  • Automate data extraction, transformation, and loading (ETL) processes where appropriate to enhance efficiency and reduce manual effort.
  • Present complex findings and strategic recommendations to both technical and non-technical audiences clearly and concisely, influencing decision-making.
  • Contribute to the continuous improvement of data analysis methodologies, tools, and processes within the organization.

Required Skills

  • Proficiency in SQL for advanced data extraction, manipulation, and querying.
  • Strong experience with at least one leading data visualization tool (e.g., Tableau, Power BI, Google Looker Studio).
  • Solid understanding of statistical analysis, data modeling principles, and their application to business problems.
  • Advanced proficiency with Microsoft Excel for data analysis, pivot tables, and reporting.
  • Excellent problem-solving, critical thinking, and analytical skills with a keen attention to detail.
  • Demonstrated ability to communicate complex data insights effectively to diverse technical and non-technical audiences, both verbally and in writing.
  • Familiarity with data cleaning, preprocessing techniques, and ensuring data quality.
  • Proven ability to work independently, manage multiple priorities, and collaborate effectively as part of a team in a fast-paced environment.

Preferred Qualifications

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
  • Proficiency in Python or R for advanced data analysis, scripting, and statistical modeling.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
  • Knowledge of A/B testing methodologies, experimental design, and hypothesis testing.
  • Experience working in a consulting environment or with diverse client portfolios across various industries.
  • Understanding of machine learning concepts and their practical applications in business contexts.
  • Certification in data analytics, relevant software (e.g., Tableau Certified Associate), or cloud platforms.

Perks & Benefits

  • Competitive salary package commensurate with experience and skills.
  • Flexible working hours and a hybrid work model to support work-life balance.
  • Comprehensive health and wellness programs, including employee assistance.
  • Generous paid time off, including annual leave and public holidays.
  • Extensive opportunities for professional development, continuous learning, and career growth (e.g., training courses, certifications, conferences).
  • A collaborative, inclusive, and supportive company culture that values diverse perspectives.
  • Modern, ergonomic office facilities in Macquarie Park with excellent amenities and public transport access.
  • Regular team social events, celebrations, and company gatherings.
  • Contribution to superannuation as per Australian regulations.

How to Apply

Eager to make an impact with your data expertise? Please click on the application link below to submit your resume and a cover letter outlining your relevant experience and why you are the ideal candidate for this role. We look forward to reviewing your application!

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