Data Analyst

MeeBoss; New York (NY); Hybrid; USD 75.000 - 110.000; Vollzeit

Benefits dieser Stelle

Health insurance

Paid time off

401(k) match

PD budget

Flexible work hybrid/remote

Casual dress

Growth path

Zusammenfassung

MeeBoss is seeking a Data Analyst to turn data into actionable insights. You’ll pull information from systems, build reports and dashboards, and answer questions that help teams decide. You’ll work with department heads, finance, and operations to transform raw data into meaningful findings.

Expect SQL querying, dashboards in Tableau/Power BI or similar, and clear documentation for future updates. Hybrid or remote work options are available, and a bachelor’s degree in a related field is common

Qualifikationen

• 2–4 years of experience in data analysis or BI.
• Strong SQL skills for querying relational databases.
• Experience building dashboards in Tableau, Power BI, Looker, or similar.
• Proficient in Excel with formulas and pivot tables.
• Ability to explain technical findings to non-technical audiences.

Aufgaben

• Extract data via SQL, APIs, or exports to answer business questions.
• Build and maintain dashboards and reports.
• Clean and organize data; fix errors and missing values.
• Analyze trends, patterns, and anomalies; summarize findings.
• Work with department heads to define metrics and deliver reports.
• Document how reports are built for future updates.
• Troubleshoot data problems when numbers don’t match.

Kenntnisse

SQL

Dashboards

Excel

Statistics basics

Communication

Python/R

Ausbildung

High school diploma

Bachelor's degree preferred

Tools

Tableau

Power BI

Looker

Google Data Studio

Jobbeschreibung

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, BigQuery, 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