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Title
Text copied to clipboard!Data Analyst
Description
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We are looking for a Data Analyst to join our team and help us derive actionable insights from large and complex datasets. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to support decision-making across various departments. You will work closely with stakeholders to understand their data needs and deliver reports, dashboards, and visualizations that provide clarity and direction.
The ideal candidate is detail-oriented, analytical, and has a strong understanding of statistical methods and data modeling. You should be comfortable working with large datasets, using tools such as SQL, Excel, and data visualization platforms like Tableau or Power BI. You will also be expected to communicate your findings clearly to both technical and non-technical audiences.
In this role, you will contribute to improving business performance by identifying trends, patterns, and opportunities for optimization. You will also help ensure data integrity and accuracy by implementing quality control measures and collaborating with data engineers and IT teams. Your work will directly impact strategic planning, marketing campaigns, product development, and customer experience initiatives.
We value curiosity, problem-solving skills, and a passion for turning data into meaningful insights. If you enjoy working in a fast-paced environment and are excited about using data to drive business success, we encourage you to apply.
Responsibilities
Text copied to clipboard!- Collect and clean data from various sources
- Analyze large datasets to identify trends and patterns
- Develop and maintain dashboards and reports
- Collaborate with stakeholders to understand data needs
- Present findings in a clear and actionable manner
- Ensure data accuracy and integrity
- Support data-driven decision-making across departments
- Monitor key performance indicators (KPIs)
- Perform ad-hoc data analysis as needed
- Work with data engineers to optimize data pipelines
Requirements
Text copied to clipboard!- Bachelor’s degree in Data Science, Statistics, Computer Science, or related field
- Proficiency in SQL and Excel
- Experience with data visualization tools like Tableau or Power BI
- Strong analytical and problem-solving skills
- Knowledge of statistical methods and data modeling
- Excellent communication skills
- Ability to work independently and in a team
- Attention to detail and data accuracy
- Experience with Python or R is a plus
- Understanding of data governance and privacy standards
Potential interview questions
Text copied to clipboard!- What data analysis tools are you most proficient in?
- Can you describe a project where your analysis influenced a business decision?
- How do you ensure data quality and accuracy?
- What is your experience with SQL and relational databases?
- Have you worked with any data visualization platforms?
- How do you handle missing or inconsistent data?
- Can you explain a complex analysis to a non-technical stakeholder?
- What statistical methods are you familiar with?
- Describe a time you identified a trend that led to a business improvement.
- How do you prioritize multiple data requests from different departments?
