Data Analyst

Data Analyst

Aamazing IT

Stamford, CT • On-site, Remote

Other

Posted 22 days ago


Job description

6 Months  contract role; WFH in Eastern time
• Provide analytics and data support for our PAO Consultants
o Provide analytical support to projects that improve our performance (e.g. Quality of Hire): requirements, discussions, problem solving, analytics, share insights, build solutions, drive change
o Support broader People Analytics team objectives in delivery of tasks, projects, and enhancements.
o Create high quality analytics/reports and translate them into value added decisions and actions
o Support business reporting/data needs across Gartner accurately.
o Continually look for ways to improve regular delivery of standard analysis/reporting through automation, streamlining, and migration to self-serve platforms.
o Support release and QA activities for dashboard & data enhancements. This includes the development and execution of testing strategies.
Job Requirements
• 1-2 years of working experience preferred

Preferably working in data analytics and visualization, business intelligence, predictive modelling, or analytical consulting
• Advanced Excel, R/Python Nice to have
• Basic SQL skills preferred
• Hands on experience using one or more BI platforms (Power BI, etc.)
Notes:
6 month engagement
40 hours a week
Open to candidate in EST or willing to work 9-5 EST.
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Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Analyst?

A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.

Q: What is the career path for a Data Analyst?

A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.



Aamazing IT job posting for a Data Analyst in Stamford, CT with a salary of $66,700 to $103,500 Annually with a map of Stamford location.