Data Analyst | 0–1 Years (Freshers can apply)

Stellenbeschreibung:

Job Details

Employment Type: Full-Time

Location: Remote / Hybrid

Experience: 0–1 Years (Freshers Welcome)

About the Role

AppXcess Technologies is seeking a motivated and detail-oriented Data Analyst to join our dynamic team. This role is perfect for fresh graduates who are passionate about transforming raw data into actionable insights that drive business decisions.

Key Responsibilities

  • Identify trends, patterns, and anomalies to support data-driven decision-making.
  • Prepare customized reports and dashboards for various business units.
  • Collect, clean, and validate data from multiple sources.
  • Create visualizations and dashboards using Excel, Power BI, or similar tools.
  • Work closely with marketing, product, and engineering teams to understand data requirements.
  • Ensure data integrity, quality, and consistency across projects.
  • Maintain proper documentation of data sources, processes, and analysis logic.
  • Follow ethical standards and raise concerns about data privacy and security when necessary.
  • Stay updated with evolving data trends and tools.
  • Support team projects, audits, and ad-hoc reports.

Required Skills & Qualifications

  • Strong foundation in Excel, SQL, and at least one data visualization tool (Power BI, Tableau, Google Data Studio).
  • Basic understanding of Python or R.
  • Good grasp of statistics, data interpretation, and analytical problem-solving.
  • Excellent communication and collaboration skills.
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields.

What We Offer

  • Competitive entry-level compensation.
  • Project-based learning and mentorship.
  • Work-life balance with hybrid flexibility.
  • Career growth into Data Science and Business Analytics.
  • Travel opportunities (Malaysia or Australia based on performance).
  • Group insurance and meal benefits.

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Stelleninformationen

  • Veröffentlichungsdatum:

    18 Aug 2026
  • Standort:

    Remote
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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