Data Analyst

Data Analyst

Job Summary

We are looking for a highly analytical and detail-oriented Data Analyst to join our team. The successful candidate will be responsible for transforming raw data into actionable insights that drive business decisions. You will use various tools and techniques to clean, analyze, and visualize complex datasets, providing critical information to stakeholders across the organization.

Key Responsibilities

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  Data Acquisition & Preparation: Query, extract, and clean data from various sources (e.g., SQL databases, APIs, spreadsheets) to ensure accuracy and consistency.



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  Data Analysis: Conduct descriptive, diagnostic, and predictive analysis to identify trends, patterns, and anomalies in key business metrics.



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  Reporting & Visualization: Design, develop, and maintain interactive dashboards and reports using tools like Tableau or Power BI to clearly communicate complex findings to both technical and non-technical audiences.



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  Insight Generation: Translate analysis findings into clear, concise, and actionable recommendations for leadership and cross-functional teams (e.g., Marketing, Operations, Finance).



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  Stakeholder Collaboration: Partner with department leads to define Key Performance Indicators (KPIs) and business requirements for new reports and analytical projects.



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  Process Improvement: Identify and recommend opportunities for process optimization and data governance improvements to enhance data quality and reporting efficiency.

Required Qualifications

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  Education: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.



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  Experience: [X] years of experience working as a Data Analyst or in a relevant analytical role.



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  Technical Proficiency (Must-Have):

  
  
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    SQL: Expert-level proficiency in writing complex queries to extract and manipulate data.

  
  
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    Data Visualization: Hands-on experience with at least one major BI tool (e.g., Tableau, Power BI, Google Looker Studio ).

  
  
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    Spreadsheets: Advanced skills in Microsoft Excel (e.g., Pivot Tables, VLOOKUPs, advanced formulas).

  
  


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  Analytical Skills: Proven ability to work with large, unstructured datasets, apply statistical methods, and solve complex business problems.



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  Communication: Excellent written and verbal communication skills, with a talent for data storytelling and presenting insights clearly.