Associate Data Analyst

Security Mutual Life Insurance Company of New York; United States; Hybrid; USD 52,000 - 78,000; Full time

Job summary

Security Mutual Life Insurance Company of New York is seeking an Associate Data Analyst to analyze complex data, perform data audits, and create reports in a hybrid setting based in Binghamton, NY.

The role involves collecting and validating data, writing SQL queries, and building Power BI dashboards to monitor KPIs and compliance. 0–2 years in data analytics and a business degree are needed.

Qualifications

• 0 to 2 years of experience in data analytics, BI, or reporting.
• Proficiency in SQL, including querying, joins, and aggregations.
• Intermediate experience with Power BI.
• Bachelor's degree in Business or a related field.
• Experience working with large data sets and reporting tools.

Responsibilities

• Collect, organize, validate, and analyze data to identify trends and provide forecasts.
• Write and maintain SQL queries and Power BI dashboards to track KPIs and compliance.
• Conduct routine audits of systems and databases to ensure data accuracy and integrity.

Skills

SQL

Power BI

Data analysis

Education

Bachelor's degree in Business

Tools

Power BI

Job description

To support a growing Data & Analytics team, the full-time Associate Data Analyst will analyze complex data, conduct data audits, and create reports and dashboards while working in a hybrid environment based in Binghamton, NY.

Key responsibilities:

• Collect, organize, validate, and analyze data to identify trends and provide forecasts
• Write and maintain SQL queries and Power BI dashboards to track KPIs and compliance
• Conduct routine audits of systems and databases to ensure data accuracy and integrity

Required qualifications:

• 0 to 2 years of experience in data analytics, business intelligence, or reporting
• Proficiency in SQL, including querying, joins, and aggregations
• Intermediate experience with Power BI
• Bachelor's degree in Business or a related field
• Experience working with large data sets and reporting tools