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
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Data Preparation & Analysis:
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Clean, validate, and structure raw data from multiple sources (e.g., databases, spreadsheets, APIs).
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Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
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Use SQL and tools like Python for basic statistical analysis.
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Document workflows and ensure data quality standards.
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Visualization & Reporting:
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Design interactive dashboards (e.g. Tableau, Power BI, Looker) and reports to communicate insights.
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Translate technical findings into clear, actionable recommendations for clients.
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Client Collaboration:
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Work closely with clients to define business questions and KPIs.
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Present insights to stakeholders in workshops or presentations.
Required Skills
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Technical Skills:
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Proficiency in SQL for data querying and manipulation.
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Experience working with DBT (Data Build Tool) or similar.
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Data visualization tools (e.g. Tableau, Power BI, or Looker).
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Basic scripting in Python.
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Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
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Soft Skills:
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Strong communication skills to explain insights to non-technical audiences.
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Problem-solving mindset with attention to detail.
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Ability to manage multiple client projects and deadlines.
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Knows how to deal with ambiguity in a fast growing startup.
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Experience:
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Solid experience in data analysis, business intelligence, or a related field.
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Portfolio of past projects showcasing dashboards/reports (shareable examples preferred).
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Education in quantitative fields such as Computer Science, Statistics, or Engineering.
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Fluency in English:
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We work with clients from all over the world, so English is a must have.
What we offer
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Innovative work environment: Collaborative, remote culture with the opportunity to grow with the company.
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Founder experience: Participate in the creation of a rapidly growing data startup.
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Great challenges: Chance to work with large companies in real estate, mining, construction, and more industries.