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

Winzons

Deutschland

Hybrid

EUR 40.000 - 55.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Competitive entry-level compensation
Mentorship program
Hybrid work flexibility
Career growth into data science
Travel opportunities

Zusammenfassung

AppXcess Technologies is seeking a Data Analyst to join our growing team. This entry-level role is ideal for fresh graduates who want to turn data into actionable insights and business value.

You'll work in a hybrid/remote setup, collect and clean data, build reports and dashboards with Excel, Power BI, or Tableau, and collaborate across marketing, product, and engineering to shape data-driven decisions.

Qualifikationen

  • Bachelor's degree in statistics, mathematics, CS, engineering, economics, or related field.
  • Strong Excel and SQL skills with ability to interpret data.
  • Familiarity with data visualization tools (Power BI/Tableau/GS Studio).
  • Basic Python or R is a plus; good communication and analytical skills.

Aufgaben

  • Support data-driven decision-making by identifying trends, patterns, and anomalies through analysis.
  • Assist various business units by preparing customized reports and dashboards.
  • Collect, clean, and validate data from multiple sources.
  • Create visualizations and dashboards using Excel, Power BI, or similar tools.
  • Collaborate with cross-functional teams to understand data requirements.
  • Ensure data quality and consistency across projects and reports.
  • Maintain documentation of data sources, processes, and analysis logic.
  • Adhere to policies and ethical standards while handling data.
  • Proactively raise and address concerns about data privacy and security.

Kenntnisse

Excel
SQL
Statistics
Python
R
Data visualization
Communication skills

Ausbildung

Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related field

Tools

Power BI
Tableau
Google Data Studio
Data cleaning tools

Jobbeschreibung

Job Details

Job Role: Data Analyst

Company: AppXcess Technologies

Work Mode: Hybrid / Remote

Job Type: Full-Time

Experience: 0–1 Years (Fresh Graduates Welcome)

Work schedule: 5 days a week

About the Role

We are looking for a highly motivated and detail-oriented Data Analyst to join our dynamic team at AppXcess Technologies. This role is ideal for fresh graduates who are eager to turn data into meaningful insights that drive business decisions. If you’re passionate about numbers, trends, and translating data into clear, actionable strategies, we’d love to hear from you.

Key Responsibilities
  • Support data-driven decision-making by identifying trends, patterns, and anomalies through analysis.
  • Assist various business units by preparing customized reports and dashboards.
  • Collect, clean, and validate data from multiple sources.
  • Create visualizations and dashboards using Excel, Power BI, or similar tools.
  • Collaborate closely with cross-functional teams, including marketing, product, and engineering, to understand data requirements.
  • Ensure data integrity, quality, and consistency across projects and reports.
  • Maintain proper documentation of data sources, processes, and analysis logic.
  • Adhere to AppXcess Technologies' policies and ethical standards while handling data responsibly.
  • Proactively raise and address any concerns about data privacy and security.
Key Stakeholders
  • Internal Business Teams
  • Data Engineering and Product Teams
  • Marketing and Operations Departments
Other Responsibilities
  • Stay updated with evolving data trends and tools.
  • Support the team in data audits, ad-hoc reports, and internal projects.
Skills and Experience

Required:

  • Strong foundation in Excel, SQL, and any one data visualization tool (Power BI, Tableau, or Google Data Studio)
  • Good understanding of statistics and data interpretation
  • Basic knowledge of Python or R is a plus
  • Strong analytical, problem-solving, and communication skills
Qualifications
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field
What We Offer
  • Competitive entry-level compensation
  • Project-based learning and mentorship
  • Work-life balance with hybrid flexibility
  • Career growth pathways into data science and business analytics
  • Travel opportunities (Malaysia or Australia based on performance)
  • Group insurance and meal benefits at the workplace
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