Data Analyst
2 months ago
Position Overview:
We are seeking a talented and motivated Data Analyst with 2 to 5 years of experience to join our dynamic team.
The ideal candidate will have strong technical skills in Python and SQL, along with a solid understanding of data analysis techniques and methodologies.
As a Data Analyst, you will play a crucial role in extracting, transforming, and analyzing data to provide valuable insights and support data-driven decision-making processes.
Key Responsibilities:
1. Data Extraction and Transformation:
- Extract data from various sources including databases, APIs, and flat files using SQL queries and Python scripts.
- Clean, preprocess, and transform raw data to ensure accuracy, consistency, and integrity for analysis and reporting purposes.
2. Data Analysis and Visualization:
- Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships within the data.
- Develop and execute SQL queries and Python scripts to analyze data and generate insights.
- Create visualizations and dashboards using tools such as matplotlib, seaborn, or Tableau to communicate findings to stakeholders.
3. Statistical Analysis and Modeling:
- Apply statistical techniques and methodologies to analyze data and draw meaningful conclusions.
- Develop and implement predictive models, regression analysis, and machine learning algorithms to solve business problems and drive insights.
4. Data Reporting and Presentation:
- Generate regular reports and ad-hoc analyses to support decision-making processes and business operations.
- Present analysis results and insights to stakeholders in a clear and concise manner, using visualizations and storytelling techniques.
5. Data Quality and Governance:
- Monitor data quality and integrity, identifying and addressing data anomalies, errors, and inconsistencies.
- Ensure compliance with data governance policies, standards, and best practices, maintaining data security and privacy.
Qualifications and Skills:
- Bachelor's or Master's degree in Computer Science or related field.
- 2 to 5 years of experience as a Data Analyst, Business Analyst, or related role, with a focus on data analysis and manipulation.
- Strong proficiency in SQL for querying and manipulating relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Proficiency in Python programming language for data analysis, scripting, and automation (experience with libraries such as pandas, numpy, scipy is a plus).
- Experience with data visualization tools such as Tableau, Power BI, matplotlib, or seaborn.
- Knowledge of statistical analysis techniques, hypothesis testing, and predictive modeling.
- Familiarity with data warehousing concepts and ETL processes is preferred.
- Excellent problem-solving skills, analytical thinking, and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
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