<p><strong>Overview</strong></p><p> The Data Analyst will transform complex datasets into actionable business insights that drive strategic decision-making across departments. This role requires strong analytical skills, business acumen, and the ability to communicate findings clearly to both technical and non-technical audiences. The ideal candidate is comfortable working with large datasets, automating reporting, and collaborating cross-functionally to solve business problems.</p><p><strong>Key Responsibilities</strong></p><ul><li>Collect, clean, and analyze data from multiple internal and external sources to support business operations and strategic initiatives.</li><li>Build, maintain, and optimize dashboards and reports in <strong>Power BI, Tableau, or Looker</strong> to visualize performance metrics and KPIs.</li><li>Perform data validation, quality checks, and root-cause analysis to ensure data accuracy and reliability.</li><li>Collaborate with business stakeholders to translate requirements into analytical deliverables and clear data-driven recommendations.</li><li>Develop and maintain SQL queries, scripts, and stored procedures for recurring and ad-hoc analysis.</li><li>Identify trends, patterns, and correlations within datasets to support forecasting and performance improvement initiatives.</li><li>Work closely with data engineering and IT teams to enhance data pipelines and ensure efficient data availability.</li><li>Present analytical findings through clear visualizations, executive summaries, and presentations tailored to business leaders.</li><li>Support automation of reporting processes to reduce manual effort and improve consistency.</li></ul><p><br></p>

<p><strong>Qualifications</strong></p><ul><li>Bachelor’s degree in Data Analytics, Statistics, Computer Science, Economics, or a related field.</li><li>3–5 years of experience in a data analysis, BI, or reporting role.</li><li>Proficiency in <strong>SQL, Excel, and one or more visualization tools (Power BI, Tableau, or Looker)</strong>.</li><li>Experience with <strong>Python or R</strong> for data manipulation and statistical analysis is preferred.</li><li>Strong understanding of relational databases and data modeling concepts.</li><li>Proven ability to work cross-functionally and translate business questions into data solutions.</li><li>Excellent communication skills and ability to present insights clearly to non-technical stakeholders.</li></ul><p><strong>Preferred</strong></p><ul><li>Experience with <strong>ETL tools</strong> (e.g., Alteryx, SSIS, or Airflow).</li><li>Familiarity with <strong>cloud data platforms</strong> such as AWS Redshift, Google BigQuery, or Snowflake.</li><li>Understanding of A/B testing, predictive analytics, and data governance best practices.</li></ul><p><br></p>

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