Data Analyst

Volis; Brasil; Remoto; BRL 40.000 - 80.000; Tempo pieno

Vantaggi offerti da questo lavoro

Innovative work environment

Founder experience

Great challenges

Descrizione del lavoro

Volis is hiring a Data Analyst to transform raw data into actionable insights. You will clean, analyze, and visualize data to solve business problems, and communicate findings to non-technical stakeholders.

You will build dashboards and reports with tools like Tableau, Power BI, or Looker, and collaborate with clients to define KPIs and questions. This role emphasizes data storytelling and accuracy in a fast-growing startup.

Competenze

• Proficiency in SQL for data querying and manipulation.
• Experience with DBT or similar data modeling tools.
• Data visualization using Tableau, Power BI, or Looker.
• Basic Python scripting.
• Familiarity with AWS, GCP, or Azure.
• Strong communication to explain insights to non-technical audiences.
• Solid experience in data analysis and BI; portfolio of dashboards.
• Education in quantitative fields (CS, Stats, Engineering).
• Fluency in English.

Mansioni

• Clean, validate, and structure data from multiple sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Design dashboards and reports to communicate insights.
• Translate technical findings into clear, actionable recommendations for clients.
• Work closely with clients to define business questions and KPIs.
• Present insights to stakeholders in workshops or presentations.

Conoscenze

SQL

DBT

Tableau

Power BI

Looker

Python

AWS

GCP

Azure

English

Formazione

Bachelor's degree in a quantitative field

Strumenti

Tableau

Power BI

Looker

Descrizione del lavoro

Volis: Transforming chaos into order.

At Volis, we are revolutionizing the way companies utilize their data. We are a rapidly growing startup with the mission of unlocking the hidden potential in organizations' data, delivering actionable insights and innovative solutions. We offer end-to-end solutions that cover all aspects of data transformation to the use of AI and Machine Learning algorithms.

Role Overview

We are seeking a detail-oriented Data Analyst to support clients in transforming raw data into actionable insights. You will clean, analyze, and visualize data to solve business problems, improve decision-making, and communicate findings to non-technical stakeholders. This role emphasizes data storytelling, accuracy, and client collaboration.

Key Responsibilities

• Data Preparation & Analysis:
  • Clean, validate, and structure raw data from multiple sources (e.g., databases, spreadsheets, APIs).
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Use SQL and tools like Python for basic statistical analysis.
  • Document workflows and ensure data quality standards.
• Visualization & Reporting:
  • Design interactive dashboards (e.g. Tableau, Power BI, Looker) and reports to communicate insights.
  • Translate technical findings into clear, actionable recommendations for clients.
• Client Collaboration:
  • Work closely with clients to define business questions and KPIs.
  • Present insights to stakeholders in workshops or presentations.

Required Skills

• Technical Skills:
  • Proficiency in SQL for data querying and manipulation.
  • Experience working with DBT (Data Build Tool) or similar.
  • Data visualization tools (e.g. Tableau, Power BI, or Looker).
  • Basic scripting in Python.
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
• Soft Skills:
  • Strong communication skills to explain insights to non-technical audiences.
  • Problem-solving mindset with attention to detail.
  • Ability to manage multiple client projects and deadlines.
  • Knows how to deal with ambiguity in a fast growing startup.
• Experience:
  • Solid experience in data analysis, business intelligence, or a related field.
  • Portfolio of past projects showcasing dashboards/reports (shareable examples preferred).
  • Education in quantitative fields such as Computer Science, Statistics, or Engineering.
• Fluency in English:
  • We work with clients from all over the world, so English is a must have.

What we offer

• Innovative work environment: Collaborative, remote culture with the opportunity to grow with the company.
• Founder experience: Participate in the creation of a rapidly growing data startup.
• Great challenges: Chance to work with large companies in real estate, mining, construction, and more industries.