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We are currently hiring: Data Analyst (Visualization and Statistics)
We are looking for a Data Analyst with strong visualization and statistical skills to turn operational data into clear, actionable insights. This role focuses on building dashboards, analyzing trends, and supporting decision-making through data.
You will work with structured operational datasets from internal tracking systems and transform them into meaningful reports and visual dashboards. No prior domain experience is required — we will provide training on the business context.
Key Responsibilities
- Analyze structured operational data to identify trends, patterns, and anomalies
- Build and maintain dashboards and reports for operational and leadership teams
- Translate raw data into clear KPIs and meaningful performance metrics
- Perform statistical analysis to support decision-making and performance tracking
- Design clear and effective visualizations that communicate insights simply
- Work with stakeholders to refine reporting needs and define metrics
- Clean, validate, and prepare datasets for analysis and reporting
Required Skills
- Data Analysis
- Strong Excel skills (pivot tables, formulas, charts, data cleaning)
- Clear understanding of SQL, including filtering, aggregation (GROUP BY), and table joins (INNER, LEFT, RIGHT JOINs)
- Ability to work with structured datasets (CSV, spreadsheets, tabular data)
Statistics (Required)
- Strong understanding of descriptive statistics (mean, median, variance, standard deviation)
- Ability to interpret data distributions and identify outliers
- Basic trend and time-series analysis
- Understanding of correlation vs causation
- Ability to define, calculate, and interpret KPIs
Data Visualization
- Experience building dashboards using:
- Microsoft Power BI or Tableau
- Ability to choose appropriate chart types for different types of insights
- Strong visual storytelling skills (clarity, simplicity, and impact over complexity)
- Experience designing dashboards for operational and management use
Analytical Thinking
- Ability to break down problems into measurable data questions
- Strong attention to detail and logical reasoning
- Comfortable working with imperfect, incomplete, or inconsistent data
- Ability to think critically about what the data is actually showing
Communication
- Ability to explain insights clearly to non-technical stakeholders
- Strong written summaries of findings and recommendations
- Ability to translate business questions into data analysis tasks
Nice to Have (Optional)
- Basic Python (pandas for data analysis and visualization)
- Experience with simple automation or reporting workflows
- Familiarity with APIs or data extraction methods
- Basic understanding of time-based or geospatial data
Shënime:
What We Offer
- Hands-on work with real operational data and dashboards
- Training in domain-specific systems and datasets
- Direct impact on operational decision-making
- Opportunity to grow in analytics, BI, and data-driven operations
To apply, please send your resume via e-mail at mailto:[email protected] or apply at :https://pcs-ai-solutions.com/
Role Summary
This role is ideal for someone who enjoys working with data, building clear dashboards, and applying statistical thinking to real-world operational problems. The focus is on clarity, insight, and decision support — not heavy data engineering or large-scale infrastructure.
