Hire Data Analysts

Scale your analytics capabilities with data analysts within our professional network. We adapt to your needs, be it automated reporting systems, predictive models, or interactive visualizations, and deliver knowledge for the tangible business impact.

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Meet Your Data Analysts

Our expert network brings together a diverse team of data analysts, each with unique experiences and backgrounds spanning various industries. We believe this blend of perspectives and skills allows us to tackle a wide range of analytical challenges and provide our clients with innovative and effective solutions.

  • $48/h

    Machine Learning Engineer (Mid-level)

    Alex F., 4+ years of experience
    Alex has worked on projects ranging from customer segmentation to demand forecasting. He builds and refines ML models using Python, TensorFlow, and scikit-learn. He’s strong in data preprocessing and feature engineering and is comfortable deploying models in production using Docker and AWS.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • Keras / TensorFlow / PyTorch
    • NumPy
    • Orchestration: Kubernetes, Docker
    • Pandas
    • Python
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $85/h

    Senior Data Scientist

    Magdalena R., 10+ years of experience
    A highly experienced data scientist with a proven track record of leading complex data science projects from inception to deployment. Expertise in developing and implementing advanced ML models, conducting statistical analysis, and providing actionable insights to drive business decisions.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • Cloud Platforms: AWS, Azure, GCP
    • Keras / TensorFlow / PyTorch
    • Processing: Hadoop, Spark, PySpark
    • Python
    • R
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $58/h

    Mid-Level Data Scientist

    Nazar B., 5+ years of experience
    Proficient in statistical and ML techniques to solve business problems. Experience in collecting, cleaning, and analyzing large datasets, building predictive models, and communicating findings to stakeholders. Adept at working with various data sources and utilizing data visualization tools.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Data processing (PySpark)
    • Jupyter
    • Keras / TensorFlow / PyTorch
    • NumPy
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $55/h

    Senior Data Analyst

    Olha B., 8+ years of experience
    A highly experienced Senior Data Analyst with a track record of driving strategic business outcomes through advanced data analysis and modeling. Possesses deep expertise in statistical inference, predictive modeling, and data storytelling, effectively communicating complex findings to both technical and non-technical audiences.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Cloud Platforms: AWS, Azure, GCP
    • Data governance
    • Data warehousing
    • NumPy
    • Pandas
    • Python
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $42/h

    Middle ML Engineer

    Daniel M., 3+ years of experience
    Experienced with crafting end‑to‑end CNN pipelines in Python, leveraging PyTorch / TensorFlow and frameworks such as YOLO, RetinaFace, and SSD to deliver fast, accurate object‑ and face‑detection models.
    • CUDA / ONNX / TensorRT
    • Keras / TensorFlow / PyTorch
    • Matplotlib
    • NumPy
    • OpenCV
    • Python
    • RetinaFace
    • scikit‑image
    • SciPy
    • SSD (Single Shot Detectors)
    • Torchvision
    • YOLO

    Request full CV

  • $32/h

    Junior Data Analyst

    Artem K., 2+ years of experience
    A motivated and detail-oriented Junior Data Analyst. Eager to apply his strong analytical foundation to real-world business challenges. Has a solid understanding of statistical concepts and data manipulation techniques. Skilled in data cleaning, preparation, and basic analysis. Proficient in data visualization tools and is committed to learning and growing within the field.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $43/h

    Data Analyst & BI Specialist (mid‑level)

    Minh Khoa N., 5 years of experience
    Data‑driven professional translating raw numbers into business‑ready insights. Skilled in SQL, Python, and modern BI tooling, Khoa builds automated dashboards and predictive models that cut reporting time and boost revenue.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • BI tools (Power BI, Tableau, Looker Studio)
    • CI/CD
    • Data quality
    • Jupyter
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $65/h

    Data Architecture Engineer

    Laura S., 8+ years of experience
    Laura excels in building robust data models and architectures for real-time analytics and business intelligence. Her work ensures efficient data flow and storage, aligning with the needs of data-driven organizations.
    • MongoDB / Redis / DynamoDB / InfluxDB
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Processing: Hadoop, Spark, PySpark

    Request full CV

  • $48/h

    Machine Learning Engineer (Mid-level)

    Alex F., 4+ years of experience
    Alex has worked on projects ranging from customer segmentation to demand forecasting. He builds and refines ML models using Python, TensorFlow, and scikit-learn. He’s strong in data preprocessing and feature engineering and is comfortable deploying models in production using Docker and AWS.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • Keras / TensorFlow / PyTorch
    • NumPy
    • Orchestration: Kubernetes, Docker
    • Pandas
    • Python
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $85/h

    Senior Data Scientist

    Magdalena R., 10+ years of experience
    A highly experienced data scientist with a proven track record of leading complex data science projects from inception to deployment. Expertise in developing and implementing advanced ML models, conducting statistical analysis, and providing actionable insights to drive business decisions.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • Cloud Platforms: AWS, Azure, GCP
    • Keras / TensorFlow / PyTorch
    • Processing: Hadoop, Spark, PySpark
    • Python
    • R
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $58/h

    Mid-Level Data Scientist

    Nazar B., 5+ years of experience
    Proficient in statistical and ML techniques to solve business problems. Experience in collecting, cleaning, and analyzing large datasets, building predictive models, and communicating findings to stakeholders. Adept at working with various data sources and utilizing data visualization tools.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Data processing (PySpark)
    • Jupyter
    • Keras / TensorFlow / PyTorch
    • NumPy
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $55/h

    Senior Data Analyst

    Olha B., 8+ years of experience
    A highly experienced Senior Data Analyst with a track record of driving strategic business outcomes through advanced data analysis and modeling. Possesses deep expertise in statistical inference, predictive modeling, and data storytelling, effectively communicating complex findings to both technical and non-technical audiences.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Cloud Platforms: AWS, Azure, GCP
    • Data governance
    • Data warehousing
    • NumPy
    • Pandas
    • Python
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $42/h

    Middle ML Engineer

    Daniel M., 3+ years of experience
    Experienced with crafting end‑to‑end CNN pipelines in Python, leveraging PyTorch / TensorFlow and frameworks such as YOLO, RetinaFace, and SSD to deliver fast, accurate object‑ and face‑detection models.
    • CUDA / ONNX / TensorRT
    • Keras / TensorFlow / PyTorch
    • Matplotlib
    • NumPy
    • OpenCV
    • Python
    • RetinaFace
    • scikit‑image
    • SciPy
    • SSD (Single Shot Detectors)
    • Torchvision
    • YOLO

    Request full CV

  • $32/h

    Junior Data Analyst

    Artem K., 2+ years of experience
    A motivated and detail-oriented Junior Data Analyst. Eager to apply his strong analytical foundation to real-world business challenges. Has a solid understanding of statistical concepts and data manipulation techniques. Skilled in data cleaning, preparation, and basic analysis. Proficient in data visualization tools and is committed to learning and growing within the field.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $43/h

    Data Analyst & BI Specialist (mid‑level)

    Minh Khoa N., 5 years of experience
    Data‑driven professional translating raw numbers into business‑ready insights. Skilled in SQL, Python, and modern BI tooling, Khoa builds automated dashboards and predictive models that cut reporting time and boost revenue.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • BI tools (Power BI, Tableau, Looker Studio)
    • CI/CD
    • Data quality
    • Jupyter
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $65/h

    Data Architecture Engineer

    Laura S., 8+ years of experience
    Laura excels in building robust data models and architectures for real-time analytics and business intelligence. Her work ensures efficient data flow and storage, aligning with the needs of data-driven organizations.
    • MongoDB / Redis / DynamoDB / InfluxDB
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Processing: Hadoop, Spark, PySpark

    Request full CV

When Is the Right Time to Hire Data Analysts?

While many organizations collect vast amounts of data, the specialized expertise required to transform this raw information into actionable business intelligence is often lacking internally. Hiring data analysts becomes essential when you recognize that untapped data potential exists within your organization but you lack the specialized skills to fully leverage it. A professional data analyst brings not only technical proficiency but also the analytical mindset needed to connect data patterns with business outcomes, helping you make evidence-based decisions rather than relying on intuition alone.

  • You’re struggling to make sense of your data. If you have vast amounts of information but lack the ability to effectively organize, interpret, and visualize it to understand trends, patterns, and key performance indicators, a data analyst can transform this raw data into clear, understandable insights.

  • Decision-making lacks data-backed evidence. Are your strategic choices often based on gut feeling or anecdotal evidence rather than concrete data? A data analyst can provide the empirical foundation needed to make more informed and impactful decisions, leading to better outcomes and reduced uncertainty.

  • Identifying opportunities for optimization and growth is challenging. If you’re finding it difficult to pinpoint areas for improvement in your processes, products, or customer engagement, a data analyst can delve into your data to uncover hidden inefficiencies, identify new market opportunities, and optimize existing strategies for better performance.

  • You need to create insightful reports and dashboards regularly. If your team spends significant time manually compiling data and creating reports, or if you lack the ability to generate dynamic and informative dashboards to monitor key metrics in real-time, a data analyst can automate these processes and build powerful visualizations that provide ongoing, actionable insights.

Discuss your data needs:

The Expertise of Our Data Analysts

With a keen eye for detail and an understanding of analytical methodologies, our data analysts bring clarity to complex data. Their expertise is instrumental in turning data into a powerful asset that drives measurable results for your business.

  • Data Visualization Tools

    Embedding dashboards and reports within custom software solutions to provide users with intuitive access to key performance indicators and analytical insights.

  • Data Quality Assessment

    Analyzing data quality, identifying inconsistencies and errors, and implementing strategies to ensure data accuracy and reliability for effective analysis.

  • Data Governance and Compliance

    Assisting in the implementation of data governance frameworks and ensuring data handling practices comply with relevant regulations

  • Exploratory Data Analysis (EDA)

    Investigating datasets to uncover patterns, anomalies, and initial insights, forming hypotheses for further analysis.

  • Ad-Hoc Analysis and Problem Solving

    Tackling specific business questions and challenges through focused data exploration and analysis, providing timely and relevant answers

  • Data Storytelling

    Weaving compelling narratives around data insights, which makes them more impactful and easier for stakeholders to understand and act upon.

  • Predictive Analytics

    Utilizing statistical modeling and forecasting techniques to predict future trends and outcomes.

  • Prescriptive Analytics

    Recommending actions based on insights to optimize decision-making and achieve desired outcomes.

Cost Factors for Hiring a Dedicated Data Analyst

The cost of hiring dedicated data analysts can vary significantly depending on a multitude of factors. These include the experience level and specialization of the analyst, the duration and complexity of the project, the geographical location and demand for talent, and the specific skills and tools proficiency required.

Understanding these variables is essential for accurately budgeting and making informed decisions about building your data analytics capabilities. Ultimately, the investment in a dedicated data analyst should be weighed against the potential returns in terms of improved decision-making, optimized processes, and new growth opportunities. We offer adaptable engagement options to suit various project scopes and financial plans.

  • Junior

    You can hire junior data analysts at a daily rate of $180, which results in $3400 per month. For ongoing, long-term partnerships, the monthly investment for a junior specialist begins at $2550.

  • Middle

    Mid-level data analysts can join your short-to-mid-term teams with daily rates starting from $290 (around $5500 monthly), and long-term collaboration starts at $4150 per month.

  • Senior

    Engaging senior data analysts for short-to-mid-term projects begins at a daily rate of $435 (roughly $8250 per month), while long-term partnerships are available from $6200 per month.

Freelancers vs. White-Label Tech Partner

The quest for data analytics talent has a major crossroads. You can engage independent specialists or collaborate with an established white-label technology agency. These contrasting models each bring their own unique advantages to the table, catering to varied business contexts, project requirements, and strategic objectives. Here’s a closer look at factors that might affect your final decision:

Freelancers

White-Label Tech Partner

Strengths
  • Flexibility and agility for quick engagement. Access to highly specialized skills. Direct communication with the analyst.
  • Service offerings spanning the entire data analytics lifecycle Consistent coverage with team redundancy to prevent knowledge or service gaps.
Considerations
  • Variable availability. Potential limited scope and scalability for large projects. Knowledge transfer risk if the analyst becomes unavailable mid-project.
  • Potentially higher overall investment. Communication might involve intermediaries. More structured communication channels compared to direct freelancer relationships
Ideal for
  • Short-term projects. Highly specialized tasks that require unique expertise. Situations prioritizing flexibility and rapid onboarding for specific deliverables.
  • Mid-to-long-term projects. Analytical projects that need diverse skills. Suitable for growing companies that require scalable analytical capabilities that evolve over time.

Tap into our hiring process:

Cooperation Models

We offer different types of cooperation to best suit your data analysis requirements, whether you need ongoing support, a focused project delivery, or to upskill your existing team.

  • Dedicated Development Teams

    Direct communication and control

    Our dedicated teams become an extension of your organization without the hassle of hiring internally. We build your team with the right mix of junior, mid-level, and senior analysts based on your industry and technical needs. This approach provides consistent support across your data initiatives.

  • Project-Based Engagements

    End-to-end support

    We create specialized teams matched exactly to your project needs, bringing together precisely the right skills for success. Whether you need comprehensive dashboards or predictive models, we manage the entire process with proven methods and strict quality standards.

  • Hands-on team training

    You can strengthen your internal teams through customized training. We offer expert-led workshops across key areas, including GenAI for productivity and data security best practices. Each session combines theory with hands-on exercises with actual business data, which ensures immediate relevance.

Our Hiring Process

We use a carefully designed selection process to find only the best data analysts for your projects. We work with professionals who excel technically and communicate effectively. This approach removes the risk and guesswork from hiring data talent, giving you access to pre-vetted analysts without consuming your valuable time and resources on recruitment activities. We bring to the table:

  • Thorough Initial Assessment

    Our recruiters conduct comprehensive initial screenings, evaluating not only a candidate’s foundational skills but also their crucial soft skills and English proficiency. This guarantees you will work with candidates who can effectively collaborate and communicate within your team and with stakeholders.

  • Rigorous Technical Verification

    Our Technical Leads test each analyst’s abilities using practical challenges based on real client projects. We use our custom skills matrix to measure expertise in key areas like statistical analysis, data visualization, SQL, and specific analytics tools. This objective approach gives us precise measurements rather than general impressions, allowing us to match analysts perfectly to your specific needs.

  • Pre-Vetted Talent Pool

    We maintain an actively updated database of analysts. It allows us to quickly connect you with skilled professionals when you need them, which significantly reduces recruitment time. We stay in regular contact with these experts to track their availability and skill development.

Why Hire Dedicated Data Analysts with Beetroot

Selecting the right partner for your data analytics project is a critical decision. Beetroot offers a value-driven partnership built on expertise, integrity, and a commitment to your long-term success. Whether you want to find dedicated software developers or hire data modeling analysts, we are dedicated to empowering your company with necessary expertise. Strong ethical and sustainable practices are among our top priorities.

  • Commitment to Security

    Your data’s security and confidentiality are paramount. We adhere to stringent security protocols and best practices to ensure your sensitive information is protected at every step of our engagement. We maintain full compliance with major data protection regulations including GDPR, CCPA, HIPAA, and SOC2.

  • End-to-End Data Expertise

    We offer all-in-one capability, supporting you at every stage of your company or product development lifecycle. From initial data strategy and infrastructure setup to advanced analytics, Machine Learning integration, and ongoing reporting, our suite of services have a consistent approach to your data needs.

  • Sustainable Tech

    We are committed to operating responsibly and sustainably. From our internal practices to the solutions we develop, we strive to minimize our environmental impact and contribute to a more sustainable future. By partnering with us, your organization gains access to analytics capabilities that align with contemporary environmental values.

  • Transparency

    Our working relationships are characterized by transparency in all aspects — from pricing structures and resource allocation to project progress. We provide visibility into work methodologies and decision-making processes. This transparency extends to honest capability assessments and clear communication about both opportunities and limitations.

  • Proven Impact

    We have a strong history of partnering with a diverse clientele to deliver impactful data-driven solutions across healthtect, greentech, finance, and edtech. Our expertise has helped businesses like yours unlock valuable insights, optimize operations, and achieve significant growth (as demonstrated below by our previous successful collaborations).

  • Geo and Cultural Proximity

    With our R&D centers in Poland, Ukraine, Bulgaria, and Vietnam, you can access talent that operates in your time zone and understands your market. You can also benefit from cooperation with teams that have a sense of industry-specific regulations. This proximity means culturally-aligned solutions and the ability to pivot quickly as market conditions change.

Our Clients Say

The best way to understand our value is through the achievements of our clients. Let’s explore their stories.

  • I would definitely recommend working with Beetroot if you have the same technical needs as we do. The team delivers exceptional, high-quality results right on time. My advice would be to set up a call and talk through whatever work you have. I think Beetroot will solve the problem.

    Adam Wamai Egesa,
    Co-Founder and CTO at Normative

Curious about our hiring process?

Let’s discuss how we can help you find data analysts for hire. Fill out this form, and we’ll get back to you shortly.

    FAQs