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Cynet systems Inc

Cynet systems Inc is hiring: Data Analyst in Alpharetta

Cynet systems Inc, Alpharetta, GA, United States, 30239

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Overview

The Data Analyst will be responsible for collecting, processing, analyzing, and interpreting data to enable data-driven decision-making. This role involves transforming raw data into actionable insights, developing dashboards and reports, and providing analytical recommendations to improve business performance.

Responsibilities

  • Collect, clean, and organize raw data from multiple sources to ensure accuracy and consistency.
  • Use Excel and SQL to manipulate, query, and analyze large datasets.
  • Build and maintain interactive dashboards and reports using Tableau and Power BI.
  • Identify trends, patterns, and anomalies to support strategic and operational decision-making.
  • Apply statistical methods and logical reasoning to define business rules and solve analytical problems.
  • Provide data-driven insights and recommendations to key stakeholders.
  • Collaborate with cross-functional teams to understand business requirements and deliver effective data solutions.
  • Present complex data and analytical findings in a clear, concise manner.

Must Have

  • Proficiency in Excel and SQL for data manipulation and querying.
  • Strong hands-on experience with Tableau and Power BI for data visualization and reporting.
  • Strong analytical skills to identify patterns, trends, and outliers in data.
  • Experience in data cleaning and validation techniques.
  • Excellent problem-solving and critical-thinking abilities.
  • Strong communication skills for presenting data insights effectively.

Should Have

  • Experience building dashboards and data visualizations.
  • Knowledge of data querying and optimization techniques.
  • Familiarity with applying statistical methods to business data analysis.

Skills

  • Excel.
  • SQL.
  • Tableau.
  • Power BI.
  • Data Analysis.
  • Data Visualization.
  • Dashboard Development.
  • Data Querying.

Qualification And Education

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
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