Data Analyst

We are seeking a motivated and detail-oriented Data Analyst to join our growing team. The ideal candidate will have a strong analytical mindset, proficiency in data manipulation tools, and a passion for deriving insights from complex datasets. This position offers an excellent opportunity to gain hands-on experience in data analysis and contribute to impactful business decisions.

Responsibilities:

• Clean, analyze, and interpret large datasets using statistical techniques.
• Develop and implement data models, algorithms, and visualizations to support business objectives.
• Collaborate with cross-functional teams to identify data requirements and deliver actionable insights.
• Prepare comprehensive reports and presentations summarizing findings and recommendations.
• Maintain data integrity and ensure data quality through regular audits and validations.
• Stay updated with industry trends and best practices in data analytics.

Requirements:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
• 0-3 years of experience in data analysis or a relevant role.
• Proficiency in SQL, Python/R, and data visualization tools (e.g., Tableau, Power BI).
• Strong analytical skills with the ability to work with complex datasets.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills with the ability to present findings to stakeholders.
• Experience with data cleansing, transformation, and manipulation techniques.
• Ability to work independently and collaborate effectively in a team environment.

Preferred Qualifications:

• Experience with machine learning algorithms and techniques.
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
  
  Application Process:
  Interested candidates are encouraged to submit their resume along with a cover letter outlining their qualifications and interest in the Data Analyst role.