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

Winzons; Deutschland; Vor Ort; EUR 40.000 - 55.000; Vollzeit

Benefits dieser Stelle

Competitive entry-level compensation

Project-based learning

Work-life balance

Career growth pathways

Travel opportunities

Group insurance

Zusammenfassung

AppXcess Technologies is seeking a Data Analyst to support data-driven decision-making and analyze trends. The role is ideal for fresh graduates and requires strong skills in Excel and SQL.

You will collaborate with various teams, clean data, prepare reports, and ensure high data quality. The company offers competitive compensation, hybrid work options, and career growth pathways into data science.

Qualifikationen

• Strong foundation in Excel, SQL, and any one data visualization tool.
• Good understanding of statistics and data interpretation.
• Basic knowledge of Python or R is a plus.

Aufgaben

• Support data-driven decision-making by identifying trends and patterns.
• Collect, clean, and validate data; create visualizations and dashboards.
• Collaborate with cross-functional teams to understand data requirements.
• Ensure data integrity and maintain documentation.

Kenntnisse

Excel

SQL

Power BI

Statistical analysis

Data interpretation

Ausbildung

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

Tools

Power BI

Tableau

Google Data Studio

Python

R

Jobbeschreibung

Job Details

Experience: 0–1 Years (Freshers Can Apply)

Company: AppXcess Technologies

Job Type: Full-Time

Work schedule: 5 days a week

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

• Strategy: Support data-driven decision‑making by identifying trends, patterns, and anomalies through analysis.
• Business: Assist various business units by preparing customized reports and dashboards.
• Processes: Collect, clean, and validate data from multiple sources; create visualizations and dashboards using Excel, Power BI, or similar tools.
• People & Talent: Collaborate closely with cross‑functional teams, including marketing, product, and engineering, to understand data requirements.
• Risk Management: Ensure data integrity, quality, and consistency across projects and reports.
• Governance: Maintain proper documentation of data sources, processes, and analysis logic.
• Regulatory & Business Conduct: 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

• 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.

About AppXcess Technologies

AppXcess Technologies is a fast‑growing technology company delivering tailored IT and data‑driven solutions. We are committed to fostering innovation, encouraging learning, and providing impactful results for clients globally. Join us and kickstart your career in a high‑growth, learning‑centric environment.

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.