Data Analyst

• Data Collection & Extraction: Query large, complex datasets from relational databases using SQL to extract required data for analysis.
• Data Cleansing & Validation: Maintain data integrity by identifying, cleaning, and resolving anomalies, discrepancies, or missing information within datasets.
• Reporting & Dashboards: Design, build, and maintain automated reports and interactive dashboards using business intelligence (BI) tools.
• Statistical Analysis: Analyze historical data and performance metrics to identify trends, correlations, patterns, and anomalies.
• Cross-Functional Collaboration: Partner with department leaders to understand their data requirements, translate business problems into analytical tasks, and present findings.
• Process Optimization: Continuously monitor and review existing reporting processes to improve data accuracy, efficiency, and scalability., * Database Querying: Strong proficiency in writing and optimizing complex SQL queries (e.g., joins, subqueries, aggregations).

Do you have experience in Tableau?, We are seeking a detail-oriented and analytically minded Data Analyst to join our team. In this role, you will be responsible for transforming raw data into actionable insights that drive strategic business decisions. You will collaborate across departments to identify trends, build performance dashboards, and optimize operational efficiency through data-driven recommendations.

The ideal candidate is passionate about data integrity, possesses strong statistical problem-solving skills, and excels at translating complex datasets into clear, compelling narratives for stakeholders., * Data Visualization: Proven experience building interactive, user-friendly reports using BI software (such as Power BI, Tableau, or Looker).

• Analytical Tools: Mastery of Microsoft Excel for advanced data manipulation, formulas, pivot tables, and modeling.
• Analytical Thinking: Strong mathematical or statistical grounding with the ability to draw objective, logical conclusions from quantitative data.
• Communication: Excellent verbal and written skills, with a proven ability to explain technical insights to non-technical audiences.

Preferred

• Programming Skills: Familiarity with Python or R for data manipulation and statistical analysis (using libraries like Pandas or NumPy).
• Data Warehousing: Basic understanding of data warehousing concepts and ETL (Extract, Transform, Load) pipelines.
• Methodologies: Experience working within an Agile environment or utilizing data-driven project management frameworks.

Pulled from the full job description

• Life insurance
• Free parking
• Company pension
• On-site parking