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Aleksandar Pavlović
Data Scientist
Nemanja Milićević
Data Scientist
Marko Tadic
iOS Developer
Previously at
Experience our in-house-like model and hire proven Data Analyst in just 4 steps!
Share the roles, skills, experience and engagement type you're looking for. We’ll use this to match you with talent who truly fit your needs.
We handpick top candidates who are pre-vetted for technical skills, remote readiness, and who meet the requirements you set.
Review candidate profiles, ask questions, or schedule interviews. You stay in control of the final decision.
Once you’re ready, kick off the collaboration. With our Managed Hire full-time model, you get a 30-day risk-free trial.
We’ll match you with vetted Data Analysis that suits your requirements. It typically takes 2 working days, allowing you to focus on growth instead of hiring.
Our rigorous vetting process combines Advanced AI assessments with expert human evaluation to ensure only top talent makes it through.
Our 30-day trial lets you work with experts before a longer-term commitment. Plus, cancel or replace the talent anytime without fee.
We handle everything from contracts and compliance to payments and performance tracking, allowing you to focus on your project.
Read answers to the most common questions about hiring Data Analysts.
The cost to hire a Data analyst can vary based on several factors, such as their experience, location, and the complexity of your project. FatCat Remote offers flexible pricing options tailored to your needs, ensuring you get top-quality talent without breaking the bank.
The 30-day trial period for hiring a talent on FatCat Remote allows clients to test our service with minimal risk. During this trial, which lasts up to 160 working hours or 30 calendar days (whichever comes first), you have the flexibility to cancel the engagement or request a talent replacement without significant financial consequences. To cancel, you must provide a detailed written notice (via email) at least five working days before the cancellation date, outlining reasons for dissatisfaction such as unmet goals, technical issues, or poor communication.
During this period:
You can assess the talent’s technical skills, problem-solving ability, and collaboration within your team.
If the talent does not meet your expectations, FatCat Remote will offer a free replacement.
If you decide to discontinue, you are not obligated to continue the engagement.
This provides a safety net, giving you confidence in your hiring decision.
When applying, candidates go through a rigorous multi-step evaluation process to ensure they meet the highest industry standards. Our comprehensive vetting process includes:
Experience & Background Check
FatCat Remote verifies work history, past projects, and client feedback to ensure credibility and reliability.
Communication & English proficiency
We assess email and written communication, verbal fluency, and the ability to present ideas effectively in English.
Soft skills & personality
We look for collaboration, respect for diverse teams, proactivity, curiosity, adaptability, openness to feedback, emotional intelligence, and leadership potential.
Technical expertise
Candidates are tested on real-world problem-solving, relevant tools and technologies, and practical knowledge related to their role.
We prioritize fast and efficient hiring. Depending on your requirements, FatCat Remote can connect you with skilled professionals within 48 hours, ensuring your project gets started without delay. After sharing your project requirements, the team quickly matches you with the top 3 candidates who fit your needs. The streamlined hiring process eliminates delays often found in traditional recruitment, allowing you to integrate a new team member almost immediately.
A Data Analyst collects, processes, and performs statistical analyses on large sets of data. They help organizations make informed decisions by providing valuable insights drawn from the data. Here are some key tasks that a data analyst typically performs:
Data Collection and Cleaning: Gathering data from various sources and ensuring its quality by cleaning and organizing it for analysis.
Data Analysis: Using statistical tools to identify trends, patterns, and actionable insights in the data.
Data Visualization: Creating charts, graphs, and other visual representations to help communicate the findings clearly to stakeholders.
Reporting: Preparing reports that summarize the analysis, detailing the insights and providing recommendations for decision-makers.
Collaboration: Working with other teams and departments to understand their data needs and provide support for data-driven decision-making.
Tool Usage: Utilizing software and tools such as Excel, SQL, Python, R, and data visualization tools like Tableau or Power BI to perform the analysis.
Problem-Solving: Identifying business problems and finding data-driven solutions.
Monitoring: Setting up tracking mechanisms to monitor changes and trends over time.
Our work-proven Data Analysts are ready to join your remote team today. Choose the one that fits your needs and start a 30-day trial.