Data Analyst: Build Dashboards & Drive Growth (Remote)

Surprise Insights; Town of Florida (NY); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Health coverage

PTO

Remote flexibility

Job summary

A leading analytics firm in Town of Florida is seeking a detail-driven Data Analyst to turn raw data into actionable insights. Responsibilities include building dashboards, analyzing trends, and supporting strategic decisions across teams. Candidates should have strong SQL and Excel skills, knowledge of Python or R, and familiarity with BI tools. This full-time role offers competitive compensation, potential bonuses, and the opportunity to grow into senior analyst or data science roles.

Qualifications

• Strong hands-on experience with SQL and Excel/Google Sheets.
• Proficiency in Python or R for data manipulation and analysis.
• Exceptional analytical, problem-solving, and communication skills.

Responsibilities

• Collect, validate, and organize large datasets from various sources.
• Build dashboards, reports, and automated data pipelines for real-time insights.
• Identify patterns, trends, and anomalies to support strategic decision‑making.
• Conduct deep-dive analysis on business performance and user behavior.
• Develop predictive models and run A/B tests to validate assumptions.
• Collaborate with various teams including Product, Engineering, Marketing, and Finance.
• Maintain data accuracy, documentation, and reporting consistency.
• Present findings in a simple, visual, and actionable format for stakeholders.

Skills

SQL

Excel

Python

R

Tableau

Power BI

Looker

Statistics

Data Modeling

BigQuery

Redshift

Snowflake

Education

Bachelor's degree in Data Science, Statistics, Computer Science, or related field

Tools

BI tools

Job description

A leading analytics firm in Town of Florida is seeking a detail-driven Data Analyst to turn raw data into actionable insights. Responsibilities include building dashboards, analyzing trends, and supporting strategic decisions across teams. Candidates should have strong SQL and Excel skills, knowledge of Python or R, and familiarity with BI tools. This full-time role offers competitive compensation, potential bonuses, and the opportunity to grow into senior analyst or data science roles.