Company
Technology
DataAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst. Skills: Data analysis, Data modeling, Dashboard building, SQL. Develop understanding of customer behavior. Develop understanding of growth drivers”
What You'll Achieve.
Drive business impact
Industry & Context.
Problem solving; Hypothesis testing
What They're Looking For.
Must Have
2+ years of experience, Knowledge of SQL, Fluency in English, Fluency in Lithuanian
Nice to Have
PowerBI experience, Tableau experience, Qlik Sense experience, Looker experience, Grafana experience
What You'll Do.
Develop understanding of customer behavior
Develop understanding of growth drivers
Create self-service dashboards
Maintain self-service dashboards
Utilize analytical tools
Support decision-making
Carry out ad-hoc analysis
Address stakeholder questions
Ensure data integrity
Perform data validation
Collaborate with business users
Determine critical metrics
Build forecast models
Deliver actionable insights
Deliver data-driven recommendations
How You'll Work.
Team & Collaboration
Collaborate with business users; Collaborate with stakeholders
Communication Scope
Present findings
Full Job Description
## Description We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies. What’s in store for you: You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership. ## In this role, you’ll Develop a solid understanding of the relationships between the behaviour of our customers and our growth drivers through data analysis and modelling. Create and maintain self-service dashboards for stakeholders across business, using PowerBI. Utilize analytical tools (SQL, Python, Google Sheets) to prepare and analyze data, supporting key decision-making processes. Carry out ad-hoc analysis to address stakeholder questions and effectively communicating your findings. Ensure data integrity and accuracy by performing regular data audits and validation. Collaborate with business users to determine KPIs and critical metrics to monitor for new business lines. Build forecast models to support business development. Deliver actionable insights and data-driven recommendations. ## Your skills & experience 2+ years of experience working on business problems in a Data Analyst/Business Analyst role. Strong knowledge of SQL. Hands-on experience building effective, easy-to-navigate dashboards, ideally with PowerBI (or other data visualization tools such as Tableau, Qlik Sense, Looker, Grafana). Fluency in English and Lithuanian. Ability to generate actionable insights and recommendations from data analysis with an understanding of how these insights can drive business impact. Problem solving and being a team player. Pragmatic and impact-focused - you will choose Excel over Python if it is a better solution for the problem and vice-versa. Proven ability
Applying for this Data Analyst role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about this company?
Real rants from real employees. Read before you apply.