Overview: We are seeking a skilled Data Analyst with expertise in SQL to join our dynamic team. As a Data Analyst, you will play a crucial role in analyzing large datasets, extracting meaningful insights, and providing actionable recommendations to drive business decisions. The ideal candidate will have a strong foundation in SQL querying, data manipulation, and statistical analysis. You will collaborate with cross-functional teams to understand business requirements, develop data-driven solutions, and communicate findings effectively.

Responsibilities:

1. Querying and analyzing large datasets using SQL to extract insights and identify trends.
2. Developing and maintaining SQL scripts and queries for data extraction, transformation, and loading (ETL) processes.
3. Cleaning, transforming, and preparing data for analysis to ensure accuracy and consistency.
4. Performing statistical analysis and applying data mining techniques to uncover patterns and correlations.
5. Creating data visualizations, dashboards, and reports to present findings to stakeholders.
6. Collaborating with business units to understand requirements and translate them into analytical solutions.
7. Conducting ad-hoc analysis and troubleshooting data-related issues as needed.
8. Participating in data modeling and schema design to support business intelligence initiatives.
9. Contributing to data governance and quality assurance processes to maintain data integrity.
10. Staying up-to-date with emerging trends, tools, and technologies in data analysis and SQL development.

Qualifications:

1. Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related field.
2. Proven experience as a Data Analyst or similar role with a focus on SQL querying and data manipulation.
3. Proficiency in writing complex SQL queries for data extraction, transformation, and analysis.
4. Strong analytical and problem-solving skills with the ability to interpret data and draw actionable insights.
5. Experience with data visualization tools such as Tableau, Power BI, or similar.
6. Knowledge of statistical analysis techniques and familiarity with programming languages (e.g., Python, R) is a plus.
7. Excellent communication and collaboration skills with the ability to present findings to both technical and non-technical audiences.
8. Attention to detail and a commitment to data accuracy and quality.
9. Ability to work independently and prioritize tasks in a fast-paced environment.
10. Experience working with large datasets and relational databases (e.g., MySQL, PostgreSQL, Oracle).