Data Analyst

Raas Infotek - Houston, TX

Full-time

Houston, TX

Professional, Scientific, and Technical Services

About the position

The Data Analyst role involves collecting, processing, and analyzing data to provide actionable insights that support decision-making across various departments. The position requires collaboration with cross-functional teams to ensure data accuracy and accessibility, while also focusing on continuous improvement in data analysis practices and tools.

Responsibilities

• Collect, clean, and organize data from various sources, including databases, spreadsheets, and external sources.
• Develop and maintain data pipelines to ensure data accuracy and accessibility.
• Conduct exploratory data analysis to identify trends, correlations, and patterns.
• Perform statistical analysis to validate hypotheses and support decision-making.
• Provide actionable insights and recommendations based on data analysis to key stakeholders and management.
• Create, maintain, and enhance dashboards and reports using data visualization tools (e.g., Tableau, Power BI).
• Prepare regular reports to monitor business performance metrics, KPIs, and other critical data points.
• Communicate findings and insights in a clear, concise manner to non-technical stakeholders.
• Work closely with cross-functional teams, including product, finance, and marketing, to support data needs and align on strategic goals.
• Provide ad-hoc analysis and support for ongoing projects, A/B testing, and data-driven initiatives.
• Ensure the accuracy, integrity, and consistency of data across platforms.
• Identify data quality issues and recommend improvements to data collection and storage processes.
• Stay up-to-date with industry trends and best practices in data analysis and visualization.
• Proactively recommend process improvements and explore new analytics tools and techniques.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• 2-4 years of experience in data analysis or a related field.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI) and Excel.
• Strong analytical and problem-solving skills with an attention to detail.
• Ability to work with large datasets and conduct quantitative analysis.
• Excellent communication skills, with the ability to convey complex data concepts to non-technical stakeholders.

Nice-to-haves

• Experience in industry-specific fields, e.g., finance, healthcare, marketing analytics.
• Familiarity with Python or R for data analysis.
• Knowledge of statistical modeling and A/B testing methodologies.
• Experience with cloud platforms and big data tools (e.g., AWS, Google BigQuery, Hadoop).