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Data Analyst


Raas Infotek LLC


Location

Dallas, TX | United States


Job description

Job Title: Data Analyst

Job Description:

We are seeking a talented and detail-oriented Data Analyst to join our team. The ideal candidate will have a strong analytical mindset and a passion for transforming data into actionable insights. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to drive business decisions and optimize processes.

Key Responsibilities:

  1. Collect and clean data from various sources, ensuring data accuracy and completeness.
  2. Perform exploratory data analysis to identify trends, patterns, and correlations.
  3. Develop and maintain dashboards and reports to communicate key insights to stakeholders.
  4. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
  5. Build predictive models and perform statistical analysis to support decision-making processes.
  6. Identify opportunities for process improvements and optimization through data analysis.
  7. Stay updated on industry trends and best practices in data analysis and visualization techniques.
  8. Present findings and recommendations to senior management in a clear and concise manner.
  9. Provide ad-hoc analysis and support as needed to address business challenges.

Qualifications:

  1. Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field. Advanced degree preferred.
  2. Proven experience as a Data Analyst or similar role, with a strong understanding of data manipulation and analysis techniques.
  3. Proficiency in SQL and one or more programming languages (e.g., Python, R) for data manipulation and analysis.
  4. Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
  5. Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
  6. Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
  7. Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities simultaneously.
  8. Experience with machine learning techniques and predictive modeling is a plus.
  9. Familiarity with Agile methodologies and project management tools is preferred.
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