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Data Analyst
Data AnalystRyan Consulting Group • Charlotte, North Carolina
Data Analyst

Data Analyst

Ryan Consulting Group • Charlotte, North Carolina
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Title : Data Analyst

About Us : We are a dynamic and innovative team seeking a talented Data Analyst to join us. Our organization is at the forefront of utilizing cutting-edge technologies, with a focus on AWS cloud services and modern data analytics. If you are passionate about managing and analyzing large datasets, creating insightful reports and visualizations, and driving data-driven business decisions, we want to hear from you!

Responsibilities :

  • Collaborate with cross-functional teams to identify key business questions and data requirements.
  • Collect, analyze, and interpret large and complex datasets using AWS services.
  • Develop dashboards and reports to provide insights into business performance and trends.
  • Monitor and analyze data to identify patterns, anomalies, and opportunities for optimization.
  • Design and implement experiments to test hypotheses and measure the impact of business initiatives.
  • Communicate findings and insights to stakeholders in a clear and concise manner.
  • Continuously improve data quality, integrity, and accuracy.
  • Stay up-to-date with the latest trends and technologies in data analysis and AWS services.

Skills :

  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, or Computer Science.
  • 3+ years of experience in data analysis or a related field.
  • Strong analytical and problem-solving skills.
  • Proficiency with SQL and NoSQL; experience working with databases such as DynamoDB, Aurora, or PostgreSQL, and AWS S3 Lake Formation.
  • Experience with AWS services such as Glue, Sagemaker, and EMR.
  • Proficiency in data visualization tools such as Tableau or Power BI, AWS QuickSight.
  • Strong written and verbal communication skills.
  • Preferred Qualifications :

  • Experience with machine learning, deep learning, data mining, and / or statistical analysis tools is a plus.
  • Understanding of database and analytical technologies in the industry, including NoSQL databases, Data Warehouse, BI reporting, and Dashboard development.
  • If you are excited about working with large datasets, deriving insights, and contributing to data-driven decision-making, and possess the skills and qualifications mentioned above, we encourage you to apply. Join us in shaping the future of data analysis in our organization!

    Job Title : Data Analyst

    Job Title : Data Analyst

    About Us : We are a dynamic and innovative team seeking a talented Data Analyst to join us. Our organization is at the forefront of utilizing cutting-edge technologies, with a focus on AWS cloud services and modern data analytics. If you are passionate about managing and analyzing large datasets, creating insightful reports and visualizations, and driving data-driven business decisions, we want to hear from you!

    About Us : Responsibilities :

    Responsibilities :

  • Collaborate with cross-functional teams to identify key business questions and data requirements.
  • Collect, analyze, and interpret large and complex datasets using AWS services.
  • Develop dashboards and reports to provide insights into business performance and trends.
  • Monitor and analyze data to identify patterns, anomalies, and opportunities for optimization.
  • Design and implement experiments to test hypotheses and measure the impact of business initiatives.
  • Communicate findings and insights to stakeholders in a clear and concise manner.
  • Continuously improve data quality, integrity, and accuracy.
  • Stay up-to-date with the latest trends and technologies in data analysis and AWS services.
  • Collaborate with cross-functional teams to identify key business questions and data requirements.

    Collect, analyze, and interpret large and complex datasets using AWS services.

    Develop dashboards and reports to provide insights into business performance and trends.

    Monitor and analyze data to identify patterns, anomalies, and opportunities for optimization.

    Design and implement experiments to test hypotheses and measure the impact of business initiatives.

    Communicate findings and insights to stakeholders in a clear and concise manner.

    Continuously improve data quality, integrity, and accuracy.

    Stay up-to-date with the latest trends and technologies in data analysis and AWS services.

    Skills :

    Skills :

  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, or Computer Science.
  • 3+ years of experience in data analysis or a related field.
  • Strong analytical and problem-solving skills.
  • Proficiency with SQL and NoSQL; experience working with databases such as DynamoDB, Aurora, or PostgreSQL, and AWS S3 Lake Formation.
  • Experience with AWS services such as Glue, Sagemaker, and EMR.
  • Proficiency in data visualization tools such as Tableau or Power BI, AWS QuickSight.
  • Strong written and verbal communication skills.
  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, or Computer Science.

    3+ years of experience in data analysis or a related field.

    Strong analytical and problem-solving skills.

    Proficiency with SQL and NoSQL; experience working with databases such as DynamoDB, Aurora, or PostgreSQL, and AWS S3 Lake Formation.

    Experience with AWS services such as Glue, Sagemaker, and EMR.

    Proficiency in data visualization tools such as Tableau or Power BI, AWS QuickSight.

    Power BI,

    Strong written and verbal communication skills.

    Preferred Qualifications :

    Preferred Qualifications :

  • Experience with machine learning, deep learning, data mining, and / or statistical analysis tools is a plus.
  • Understanding of database and analytical technologies in the industry, including NoSQL databases, Data Warehouse, BI reporting, and Dashboard development.
  • Experience with machine learning, deep learning, data mining, and / or statistical analysis tools is a plus.

    Understanding of database and analytical technologies in the industry, including NoSQL databases, Data Warehouse, BI reporting, and Dashboard development.

    If you are excited about working with large datasets, deriving insights, and contributing to data-driven decision-making, and possess the skills and qualifications mentioned above, we encourage you to apply. Join us in shaping the future of data analysis in our organization!

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