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Data Analyst

Agile IT Tech
New York, NY Full Time
POSTED ON 1/20/2025 CLOSED ON 1/27/2025

What are the responsibilities and job description for the Data Analyst position at Agile IT Tech?

Job Description:

We are seeking an experienced Data Analyst to join our team. The ideal candidate will have 2-4 years of experience in data analysis, as well as strong problem-solving skills and attention to detail. In this role, you will be responsible for working with large and complex datasets to identify patterns, trends, and insights, and provide actionable recommendations to stakeholders.

Key Responsibilities:

•       Collect and analyze large and complex datasets using SQL, Excel, and other tools

•       Identify patterns, trends, and insights in data and provide actionable recommendations to stakeholders

•       Create reports and dashboards to communicate findings to stakeholders

•       Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity

•       Develop and maintain data models and data dictionaries

•       Automate data collection and reporting processes

•       Continuously monitor data quality and identify and resolve data-related issues

•       Stay up-to-date with the latest data analysis techniques and tools and recommend improvements to existing processes.

Qualifications:

•       Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field

•       2-4 years of experience in data analysis

•       Strong analytical and problem-solving skills

•       Proficiency in SQL and Excel

•       Experience with data visualization tools such as Tableau or Power BI

•       Experience with statistical analysis tools such as R or Python

•       Experience with ETL processes and data warehousing

•       Understanding of data modeling and database design

•       Excellent communication and interpersonal skills

•       Ability to work independently and in a team environment.


If you meet the above qualifications and are passionate about using data to drive business decisions, we encourage you to apply for this exciting opportunity.

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