Data Analyst I

Role Summary
We are seeking a Data Analyst I to perform comprehensive data analysis and reporting that directly supports business decision-making and operational efficiency. This role collaborates with cross-functional teams to collect raw data, develop insightful visualizations, and deliver actionable insights that drive department-level and organizational goals.

Key Duties & Responsibilities

• Data Engineering: Collect, clean, and analyze complex datasets from multiple sources to support diverse business requests.
• Vizualization: Create dynamic dashboards and reports using industry-leading BI tools such as Tableau, Power BI, or Looker.
• Querying: Write efficient SQL queries to extract data and generate insights for both recurring scheduled analysis and ad hoc investigations.
• Stakeholder Collaboration: Work closely with stakeholders across all levels to understand reporting requirements and deliver high-quality data products that meet specific business needs.
• Analytical Thinking: Identify trends, patterns, anomalies in data to inform strategic decision-making processes.
• Data Governance: Document methodologies, metrics definitions, and query logic rigorously to ensure transparency, reproducibility, and audit readiness.
• Quality Assurance: Participate actively in validation and quality assurance processes to guarantee report accuracy and reliability.
• Innovation Stay current with emerging tools, techniques, and best practices in data analytics to maintain a competitive edge.
  

Qualifications

• Educational Background: Bachelor's degree in Data Analytics, Statistics, Information Systems, Business, or a related field is required.
• Experience Level: 1–3 years of hands-on experience in a data analysis or reporting role within an analytical environment.
• Technical Skills: Proficiency in Microsoft Excel and strong working knowledge of SQL are essential requirements for this position.
• Vizualization Tools: Experience with data visualization tools (e.g., Tableau, Power BI, Looker) is highly preferred but not mandatory if you can demonstrate equivalent capability to learn quickly.
• Core Competencies: Possess strong analytical thinking and problem-solving skills that allow you to break down complex problems into manageable parts effectively.
• Communication Capabilities: Demonstrate clear communication and collaboration skills when interacting with both technical data engineers and non-technical business stakeholders.