Actively hiring
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Tech stack
Technologies named in job postings at Tires-Easy over the last 12 months, by layer, with the share of postings for each.
Technologies in use
19
Postings analysed
8
Stack modernity
74/100
Languages
SQL
Python
C++
Java
Databases
Amazon Redshift
BigQuery
Google BigQuery
Snowflake
Cloud & platforms
Power BI
AWS
Airflow
Linux
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Full Tires-Easy tech stack
19 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
29/100
Slowing
Open positions
9
0 opened / 1 closed in 30 days
Median time-to-fill
16 days
faster than 58% of the market
ATS activity
Every ~3 hours
Today
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Analytics
27% ▲
Finance
18% ▲
Customer Success
18% ▲
Data Science
9% ▲
Administrative
9% ▲
Management
9% ▲
Actively hiring for Analytics (+3 in 30 days)
Jobs
≈ $27k – $73k per year (Estimated) • In office • Contractor • Bachelor's Degree • Argentina
SQL
Tableau
Power BI
Looker
Microsoft Excel
Management
Google Sheets
Apply
≈ $32k – $87k per year (Estimated) • In office • Contractor • 3+ years exp • Bachelor's Degree • Argentina
Python
Java
SQL
C++
PostgreSQL
Snowflake
Amazon Redshift
AI/ML
Airflow
dbt
DevOps
AWS
Linux
Wi-Fi
Analytics
ETL/ELT
Management
Slack
Google Sheets
Apply
≈ $25k – $60k per year (Estimated) • In office • Contractor • 2+ years exp • Bachelor's Degree • Argentina
Python
SQL
Google BigQuery
BigQuery
Apply
