Data Analyst Job New York New York USA,IT/Tech

We're looking for a Data Analyst to help us understand what's happening in our business through data. You'll pull information from our systems, build reports and dashboards, and answer specific questions that help our team make better decisions. This role works closely with department heads, finance, and operations to turn raw data into actionable insights.

Responsibilities

Extract data from our databases and tools (SQL queries, API pulls, or direct exports) to answer business questions
Build and maintain dashboards and reports in tools like Tableau, Power BI, or Google Sheets that teams check regularly
Clean and organize messy data—fixing errors, handling missing values, standardizing formats
Analyze trends, patterns, and anomalies in data; write short summaries explaining what you found and why it matters
Work with department heads to understand what metrics they actually need and deliver reports that fit their workflow
Document how you built reports and analyses so others can understand and update them later
Troubleshoot data problems when reports break or numbers don't match expectations
Present findings to non-technical stakeholders in clear language without jargon

Requirements

2–4 years of experience working with data (analyst role, business intelligence, or similar)
Strong SQL skills—you can write queries to pull, filter, and aggregate data from relational databases
Experience building reports or dashboards in at least one tool (Tableau, Power BI, Looker, Google Data Studio, or similar)
Comfortable with Excel and able to use formulas, pivot tables, and basic data manipulation
Basic statistics knowledge—you understand concepts like averages, distributions, correlation, and statistical significance
Ability to explain technical findings to people without data backgrounds
High school diploma or equivalent; bachelor's degree in any field preferred (math, computer science, business, or related field a plus but not required)

Nice to Have

Experience with Python or R for data analysis
Familiarity with cloud databases (Snowflake, Big Query, Redshift)
Background in your industry (retail, SaaS, manufacturing, etc.)
Experience with A/B testing or experimental design

Benefits

Health insurance (medical, dental, vision) with company contribution
15 days PTO annually plus company holidays
401(k) with company match
Professional development budget for courses or certifications
Flexible work arrangement (hybrid or remote options available)
Casual dress code
Growth path into senior analyst or analytics leadership roles