Data Analyst
1 day ago
**Key Responsibilities**
- **Data Collection & Analysis**:
- Gather, clean, and process large datasets from multiple sources, ensuring accuracy and consistency.
- Analyze trends, identify key performance indicators (KPIs), and provide data-driven insights to inform decision-making.
- Develop Python scripts for automation and data processing.
- Conduct exploratory data analysis (EDA) to identify patterns and correlations in data.
- **Data Visualization & Reporting**:
- Design and create interactive dashboards and reports using tools such as **Power BI, Tableau, Google Data Studio**, and **PostHog** to track business performance.
- Present findings to stakeholders in a clear and actionable manner.
- **Database & Query Optimization**:
- Write and optimize SQL queries to extract meaningful insights from databases.
- Work with **relational (SQL) and NoSQL databases** to support analytical needs.
- **Collaboration & Business Impact**:
- Partner with cross-functional teams to understand business and data needs to deliver insights that drive operational improvements.
- Support product and engineering teams in defining data requirements for new features and enhancements.
- **Quality Assurance & Compliance**:
- Ensure data integrity, governance, and compliance with industry standards (e.g., HIPAA, NDPR, GDPR).
- Implement best practices for data security and privacy.
**Qualifications**
- Bachelor’s degree in **Data Science, Statistics, Computer Science, or a related field**.
- **2-4 years** of experience in data analysis, reporting, or business intelligence.
- Strong proficiency in **Python** for data analysis
- Proficiency in **SQL** for querying databases and optimizing performance.
- Experience with **data visualization tools** (e.g., **Power BI, Tableau, Google Data Studio**).
- Basic understanding of statistical analysis, including hypothesis testing and regression modeling.
- Excellent analytical and communication skills, with the ability to interpret data and provide strategic recommendations.
**Preferred Skills**
- Experience with **Python or R** for data analysis and automation.
- Familiarity with **cloud-based analytics platforms** (e.g., AWS, GCP, Azure).
- Basic knowledge of **machine learning fundamentals** is a plus.
- Strong communication skills to present findings effectively to technical and non-technical stakeholders.
Pay: E£25,000.00 - E£50,000.00 per month
Application Question(s):
- You are analyzing a dataset of hospital admissions over the past two years and notice a sudden spike in readmissions in a specific month.
How would you investigate the cause of this anomaly?
What statistical or analytical techniques would you use to confirm whether this trend is significant?
How would you communicate your findings to a non-technical audience?
- You are given a dataset containing patient records with fields such as patient_id, visit_date, diagnosis_code, and treatment_cost.
Write an SQL query to retrieve the total treatment cost per patient for the last 6 months.
How would you handle missing or incorrect values in the dataset?
What best practices do you follow when cleaning healthcare data?
- Your team needs a dashboard to track patient engagement trends on a digital health platform.
What metrics would you include in the dashboard, and why?
How would you ensure that the data is easily interpretable for non-technical stakeholders?
Can you describe a past experience where you turned raw data into an actionable insight?
**Experience**:
- data analyst: 3 years (required)
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