Data Analyst

careersbridges; New York (NY); On-site; USD 70,000 - 90,000; Full time

Job summary

careersbridges is looking for a detail-oriented Data Analyst in New York. In this role, you will analyze data and provide actionable insights to drive business decisions.

Your responsibilities include collecting and interpreting large datasets, building reports using Excel, Tableau, or Power BI, and collaborating with different departments. Strong experience with SQL and data visualization tools is required.

Qualifications

• Strong experience with data analysis and visualization tools.
• Experience with SQL for querying databases.
• Ability to work with large datasets and derive insights.

Responsibilities

• Collect, clean, and interpret large datasets.
• Analyze data to identify trends and opportunities.
• Build reports and dashboards.

Skills

Data analysis

Data visualization tools (Excel, Tableau, Power BI)

SQL

Statistical knowledge

Problem-solving skills

Communication skills

Tools

Excel

Tableau

Power BI

SQL

Job description

About the Role

We are looking for a detail-oriented Data Analyst to join our team. You will play a key role in analyzing data to provide actionable insights that will help drive important business decisions. If you’re a problem-solver who loves working with data and making sense of numbers, this is the perfect opportunity for you!

Responsibilities

• Collect, clean, and interpret large datasets from various sources.
• Analyze data to identify trends, patterns, and opportunities.
• Build reports and dashboards using tools like Excel, Tableau, or Power BI.
• Collaborate with different departments to understand business needs and help with data-driven decisions.
• Present findings in clear and concise reports, with actionable recommendations.
• Ensure data accuracy and integrity across multiple systems.
• Automate repetitive data processes to improve efficiency.

Required Skills

• Strong experience with data analysis and visualization tools (Excel, Tableau, Power BI).
• Experience with SQL for querying databases.
• Strong knowledge of statistics and data modeling.
• Ability to work with large datasets and derive insights.
• Excellent communication skills to present findings clearly.
• Problem-solving skills and attention to detail.