
Data Analyst, CS Ops
Omie
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Tech Stack
About the role
- Conduct in-depth quantitative analyses of the customer base to identify factors associated with churn, retention, expansion, and engagement.
- Develop analytical studies on customer behavior.
- Explore and structure datasets.
- Apply statistical methods and data analysis techniques.
- Produce structural analyses to support strategic decision-making.
- Support the development, evolution, and maintenance of machine learning models.
Requirements
- Bachelor’s degree in Statistics, Economics, Engineering, Mathematics, Data Science, Computer Science, or a related field.
- Proactive with a strong sense of ownership and the ability to conduct analyses independently.
- Clear and structured communication skills.
- Experience in quantitative data analysis in revenue-related areas.
- Proficiency in SQL.
- Experience manipulating data in advanced spreadsheets, including Excel or similar tools.
- Experience with data analysis and KPI tracking.
- Ability to translate analytical results into actionable executive insights.
- Ability to collaborate with different teams, such as Customer Success, Product, BI, and Data Engineering.
Benefits
- Flexible benefit / meal allowance: R$45.00 per business day.
- Home office allowance.
- Commuter allowance available.
- Shuttle service for travel to the office.
- Bradesco health plan.
- Amil Dental dental plan.
- Pharmacy assistance.
- Childcare assistance.
- Day off on your birthday.
- Partner apps for authorized gyms.
- Partnerships with online therapy and meditation platforms.
- Discounts at universities and educational institutions.
- Free access to Omie Academy for employees.
- In-company English courses.
- Insurance discount program.
- Swile Shop: exclusive discount platform.
- Partnership with Dell.
- PPRL (profit-sharing program).
- Travel benefits.
- Life insurance.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
quantitative analysisstatistical methodsdata analysis techniquesmachine learning modelsSQLdata manipulationKPI trackingdata structuringanalytical studiescustomer behavior analysis
Soft Skills
proactiveownershipindependent analysisclear communicationstructured communicationcollaborationactionable insightsteamwork