Data Analyst
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
Moderate value score due to essential data skills in a growing tech landscape, with opportunities for professional development.
- Opportunity to grow analytical skills in a tech environment
- Work on diverse data projects across industries
- Possibility for career advancement
Pros
- Growth and decision support through data analysis
- Varied projects across industries enhance experience
- Collaborative efforts lead to skill enhancement
Cons
- Analytical work may feel repetitive
- Salary may be lower than higher-level data roles
- Expectations may require continuous learning and adaptation
Who it's for
Entry to Mid-level • On-site or hybrid possible
Good fit
- Entry-level to mid-level data analysts
- Individuals eager to learn and problem-solve
- Candidates wanting a dynamic work environment
Not recommended for
- Highly experienced individuals seeking senior positions
- Those preferring a set routine without variability
- Candidates who are not open to continual learning
Motivation fit
Key skills
About the job
We are a dynamic IT company providing services in software development, web and mobile app solutions, and technical support. We are looking for a detail-oriented and analytical Data Analyst to join our growing team to help derive actionable insights from data and support business decision-making.
Key Responsibilities
Collect, clean, and analyze large datasets from various sources to identify trends and patterns.
Build and maintain dashboards, reports, and visualizations using tools like Excel, Power BI, or Tableau.
Collaborate with stakeholders to understand data needs and translate them into analytical solutions.
Perform statistical analysis to support business strategies and decision-making.
Identify key performance indicators (KPIs) and monitor business performance.
Communicate findings and recommendations clearly to non-technical stakeholders.
Work closely with developers and business teams to ensure data accuracy and availability.
Requirements
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
Proven experience (1-3 years) in data analysis or a similar role.
Proficiency in SQL for data querying and manipulation.
Strong Excel skills; experience with data visualization tools like Power BI, Tableau, or similar.
Working knowledge of Python or R for data analysis is a plus.
Strong analytical and problem-solving skills.
Excellent communication and presentation skills.
Preferred Qualifications
Experience in eCommerce, IT services, or a fast-paced tech environment.
Familiarity with data warehousing concepts and cloud data platforms (e.g., AWS, Google BigQuery).
Understanding of basic statistical methods and predictive analytics.
What We Offer
Competitive salary and performance-based incentives.
A collaborative and supportive work environment.
Opportunities for professional development and upskilling.
Flexible work hours and remote work options.
