Our approach
Baltic Assist's Remote Data Analysts are the backbone of data-driven decision-making across diverse industries. From finance and healthcare to technology, agriculture, and trade, our analysts are adept at deciphering user needs, crafting data-driven solutions, and utilizing their expertise in statistical analysis, data visualization, and predictive modeling.
Proficient in a wide array of data analysis tools and programming languages such as Python, R, SQL, and Excel, our virtual data analysts stand ready to extract valuable insights from your data and transform them into actionable strategies.
The advantages of choosing Baltic Assist's Remote Data Analysts
Pricing
Part-Time
Part-time remote employee
Starting at-
84 hours per month
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From 1449 € per month
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Money back guarantee
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Rapidly scalable positions
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Flexible contracts
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Dedicated specialist
Full-Time
Full-time remote employee
Starting at-
168 hours per month
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From 2280 € per month
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Money back guarantee
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Rapidly scalable positions
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Flexible contracts
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Dedicated specialist
Teams
A team of remote employees
Tailored integration-
Example of 4 FTE's team
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Remote or in-house
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Money back guarantee
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Rapidly scalable teams
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Flexible contracts
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Dedicated teams
Expertise
Our team focuses on identifying virtual Data Analysts who are experts in collecting, cleaning, and analyzing raw data, as well as developing actionable strategic insights.
We ensure that the virtual data analysts we recommend have skills in statistical programming and data visualization and proficiency in tools such as SQL, Excel, and Python.
Our expertise lies in identifying Data Analysts who have a strong understanding of database emerging technology and business trends and who have designed and built statistical analysis models.
Our data analysts focus on analysing results, producing reports, and providing strategic recommendations based on complex data.
Know-how of a remote Data Analyst
- Data collection. Gather data from multiple sources, including databases, spreadsheets, surveys, and online platforms.
- Data cleaning. Ensure data accuracy by identifying and rectifying errors, inconsistencies, and missing information.
- Data analysis. Apply statistical techniques and data mining to extract meaningful insights from your data.
- Data visualization. Create informative and visually appealing charts, graphs, and reports to aid decision-making.
- Market research. Analyze market trends, competition, and customer behavior to inform business strategies.
- Performance tracking. Monitor key performance indicators (KPIs) and provide regular reports for strategic adjustments.
- Predictive analysis. Use data to forecast future trends and opportunities, facilitating proactive decision-making.
4 simple steps to get dedicated remote employee
Schedule a quick consultation
Book a one-on-one meeting with our team representative.Â
Have a question?
Drop us a message and we'll get back to you ASAP.Â
