Data Analyst
Summary
Data Analyst at Egnyte Poland builds dashboards, analyzes SaaS metrics, and delivers insights to drive business decisions using SQL, Tableau, and BigQuery.
ABOUT EGNYTE
Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit .
As a Data Analyst in our Data Analytics team, you will play a pivotal role in enabling Egnyte to make smarter, faster, and data-driven decisions. You will be responsible for building, managing, and optimizing analytics capabilities that uncover critical insights across multiple domains—including customer success, sales, marketing, product usage, and operations.
The ideal candidate is a curious problem-solver who can translate complex data sets into actionable narratives, ensuring our stakeholders have access to reliable, high-quality data for strategic decision support.
At Egnyte, you won't just understand the data; you will shape how the company grows. Our Data Analytics team is the backbone of strategic decision-making. If you love digging into diverse datasets, collaborating with different departments, and seeing your insights turn into real-world business impacts, you will thrive here.
WHAT YOU’LL DO:
Report to the Data Analytics organization, where you'll partner with Finance, Sales, Marketing, Product, and Operations teams to understand their goals and deliver tailored analytical insights
Be a subject matter expert on the data, tools, and modern analytical techniques leveraged to best answer business questions, provide recommendations, and support strategic initiatives
Design, build, and maintain interactive dashboards and reports that track key performance indicators (KPIs) and business health
Conduct deep-dive analyses to uncover trends, identify anomalies, and predict customer behavior or market opportunities
Drive strategic business decision-making through detailed analytics, insights, and real-time reporting
Monitor and validate data pipelines to ensure the highest standards of data quality, accuracy, and reliability
Continuously improve existing analytics processes and reporting frameworks for better efficiency and self-service capabilities
Assist in designing and managing scalable data models and analytics schemas to support robust reporting
Comfortable presenting technical findings and summarizing key insights to technical and non-technical stakeholders at all levels, including senior management
Partner with Analytics Engineering and Data Engineering to support various data management, data quality, and data governance initiatives
YOUR QUALIFICATIONS:
3+ years of relevant experience in a data science, business analytics, business intelligence, or comparable data engineering role, including data warehousing and business intelligence tools, techniques, and technology
3+ years of proven experience building intuitive dashboards in tools like Tableau, Google Data Studio, or similar.
3+ years of experience working with modern data warehouse environments, including BigQuery
Advanced proficiency in writing clean, optimized SQL queries for data extraction and manipulation
Basic proficiency in Python or R for data analysis, or experience using dbt for data transformation and semantic models
Proficiency in native BI-embedded AI, large language models (LLMs), and general-purpose prompt assistants, including Tableau Pulse, ChatGPT, and Claude
Knowledge of SaaS business, KPIs, and metrics
Knowledge of Salesforce is preferred
Strong critical thinking skills with the ability to see the "big picture" behind the numbers
Creative and analytical problem solver who is comfortable working in a fast-paced environment, balancing multiple projects, and managing stakeholder expectations.
BENEFITS:
Attractive salary package based on skillset
Your own Egnyte account with lifetime access to 50TB of cloud storage
MyBenefit: you can choose a MultiSport card or gift cards every month
Private medical healthcare
In-house English classes