Data Analyst

Surprise Insights; New York (NY); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Health coverage

PTO

Remote flexibility (based on company policy)

Job summary

A data-driven technology company is seeking a detail-oriented Data Analyst to transform raw data into meaningful insights that drive business decisions. The successful candidate will collect and organize data, build dashboards, and collaborate across teams to identify trends and opportunities. Qualifications include expertise in SQL and Python, experience with BI tools, and a bachelor's degree in a related field. This full-time position offers competitive pay, performance bonuses, and room for professional growth into senior roles.

Qualifications

• Strong hands-on experience with SQL and Excel/Google Sheets.
• Proficiency in Python or R for data manipulation and analysis.
• Experience with BI tools like Tableau, Power BI, Looker, or similar.
• Solid understanding of statistics, experimentation, and data modeling.
• Familiarity with cloud data warehouses (BigQuery, Redshift, Snowflake).
• Exceptional analytical, problem-solving, and communication skills.
• Bachelor’s degree in a related field or equivalent real-world experience.

Responsibilities

• Collect, validate, and organize large datasets from various sources.
• Build dashboards, reports, and automated data pipelines.
• Identify patterns, trends, and anomalies for strategic decision-making.
• Conduct deep-dive analysis on business performance.
• Develop predictive models and run A/B tests.
• Collaborate with cross-functional teams.
• Maintain data accuracy and reporting consistency.
• Present findings in a visual and actionable format.

Skills

SQL

Excel/Google Sheets

Python

R

Tableau

Power BI

Looker

Statistical analysis

Data modeling

Problem-solving

Communication skills

Education

Bachelor’s degree in Data Science

Statistics

Computer Science

Tools

BigQuery

Redshift

Snowflake

BigQuery

Redshift

Snowflake

Job description

Be among the first 25 applicants.

Job Overview

We’re hiring a sharp, detail‑driven Data Analyst to help transform raw data into meaningful insights that guide key business decisions. You’ll work across multiple teams, build dashboards, analyze trends, and deliver recommendations that directly impact growth and performance.

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 Product, Engineering, Marketing, and Finance teams.
• Maintain data accuracy, documentation, and reporting consistency.
• Present findings in a simple, visual, and actionable format for stakeholders.

Requirements

• Strong hands‑on experience with SQL and Excel/Google Sheets.
• Proficiency in Python or R for data manipulation and analysis.
• Experience with BI tools like Tableau, Power BI, Looker, or similar.
• Solid understanding of statistics, experimentation, and data modeling.
• Familiarity with cloud data warehouses (BigQuery, Redshift, Snowflake).
• Exceptional analytical, problem‑solving, and communication skills.
• Bachelor’s degree in Data Science, Statistics, Computer Science, or related field (or equivalent real‑world experience).

Compensation

Competitive pay depending on experience and skill level.

Performance‑based bonuses.

Benefits package may include health coverage, PTO, and remote flexibility (based on company policy).

Growth opportunities into Senior Analyst, Data Scientist, or Analytics Manager roles.

Credit Score Requirements

Due to the financial and data‑sensitive nature of this role, all shortlisted applicants must complete a standard background check and credit score verification before interview scheduling. Only verified applicants will be moved forward for final review.

Hiring Process

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Seniority Level

Associate

Employment Type

Full‑time

Job Function

Information Technology

Industries

Transportation, Logistics, Supply Chain and Storage