DevProvider

Hire Data Analytics Engineers
from DevProvider

Our team of skilled data analytics engineers at DevProvider, including expert Tableau developers, can help you turn raw data into actionable insights using Tableau, Excel, Airtable, and Google BigQuery.

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Data Analytics Business Solution

At DevProvider, our team of skilled Data Analysts can transform your raw data into actionable business solutions.

Data Collection and Management

Our experts will assist you in gathering and organizing data from various sources, ensuring it is accurate, consistent, and accessible.

Data Analysis and Interpretation

Utilize advanced analytics techniques to analyze your data, uncovering patterns, trends, and insights that can guide your business strategy.

Customized Reporting and Dashboards

We create tailored reports and interactive dashboards that provide real-time visibility into your key metrics, helping you track performance and identify areas for improvement.

Predictive Analytics

Team leverages predictive modeling and machine learning to forecast future trends and outcomes, enabling proactive decision-making and strategic planning.

Business Intelligence Solutions

By integrating data analytics with business intelligence tools, we provide comprehensive solutions that support your operational and strategic goals.

Data Security and Compliance

We ensure that your data is handled securely and in compliance with relevant regulations, protecting your business from potential risks.

Let us give you the best solution for Data Analytics

Get a free consultation and Let’s discuss how a collaboration with DevProvider can help support your strategic technology initiatives.

Hire developers

What are the benefit that your team will get.

Our IT staff augmentation services seamlessly integrate pre-vetted Data Analytics developers into your existing team. Help in finding the right skills at the critical moment.

Increased Efficiency
Cost Reduction
Scalability
Enhance Skills

Excellence Assurance

Over 20 positive reviews and 7 top company Clutch Awards as a recognition of our quality and our commitment to the success of our clients.

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Business Solution

Our full-stack Data Analytics Team builds customized solutions for your business
no matter which industry you operate in.

Health and care

Health Care

Smart apps catering to the needs of healthcare service providers.

Travel and Tourism

Travel & Tourism

Customized solutions to boost travel & tourism business.

banking and finance

Banking & Finance

Secure software solutions to meet the needs of banking and fintech companies.

transport and logistics

Transport

Providing cutting-edge IT solutions tailored to your logistic business

ecommerce plateforms

eCommerce

Scalable B2B and B2C solutions to take your business to the next level.

media industry

Social Media

Innovative web solutions designed for media and entertainment domain.

Education Departments

Education

Custom eLearning solutions to meet the changing industry needs.

transport and logistics

Construction

High-performing and cost-effective software development solutions.

Tools Utilized by DevProvider’s Data Analysts

At DevProvider, Our data analysts use tools like Excel, Tableau, and Airtable to drive insights and decision-making.

Excel Data Analytics

Excel

We use Excel for in-depth data analysis, including applying formulas, creating pivot tables, and generating charts. It helps us manage and clean data, and produce customized reports for detailed performance tracking.

tableau Data Analytics

Tableau

Our Tableau developers use the platform to create interactive dashboards and detailed visualizations, offering real-time insights into business performance and trends.

Airtable Data Analytics

Airtable

Airtable is utilized for organizing and managing data in a flexible, user-friendly format, combining spreadsheet functionalities with database features. It facilitates collaboration and automates workflows.

Data analytics by google bigQuery

Google BigQuery

We use Google BigQuery for in-depth data analysis, including executing complex SQL queries, performing advanced analytics, and integrating with machine learning models.

Get Involved with Data Analytics

Get a free consultation and Let’s discuss how a collaboration with DevProvider can help support your strategic technology initiatives.

Hiring Models

Choose the perfect fit for your projects with our diverse hiring models, from Hourly staffing for flexibility to exclusive teams for enduring collaboration.

Hourly

  • Flexible hours per day
  • Buy a minimum of 10 hours
  • Regular Updates
  • Support available

Monthly

  • 8 hours per day
  • Sign NDA
  • Minimum 30 days
  • Get Regular updates
  • CMS Access
  • Best Pricing 
  • Support Available

Team

  • Minimum one year Contract
  • Sign NDA 
  • Minimum 2 Developers
  • Project Manager
  • Quality Assurance Services
  • Get Regular Updated 
  • CMS Access
  • Support available

Contact us if none of these work for you.

Remote developers Hiring Model

How to get started?

Gain control over your project lifecycle with tailored IT staff augmentation. We manage every stage, ensuring seamless integration and on-time delivery.

Our experts will tailor the assessment process to match your unique needs.

Whether you need technical experts, creative minds, or management professionals, we’ve got you covered.

Swiftly onboard pre-vetted IT talent, fostering team integration for immediate project impact.

Our team works closely with your stakeholders to ensure clear communication, alignment with project goals, and smooth collaboration.

We work with you to establish clear, measurable goals for your team that align with your business objectives.

We offer ongoing support even after the project has been handed over.

User Guide to Data Analytics

Explore the fundamentals of data analytics, from basic concepts to advanced techniques, in this comprehensive user guide for making data-driven decisions.

Introduction 

Data analytics involves the process of examining raw data with the purpose of drawing conclusions about that information. It plays a crucial role in making data-driven decisions and uncovering insights that can drive business growth.

Types 

Descriptive Analytics: Focuses on summarizing historical data to understand what has happened.

Diagnostic Analytics: Examines data to understand why something happened.

Predictive Analytics: Uses data and statistical algorithms to predict future outcomes.

Prescriptive Analytics: Recommends actions to achieve desired outcomes based on data insights.

Process 

Here are the main components and process for data analytics developers:

Data Collection: Gathering data from various sources, such as databases, surveys, sensors, or web scraping.

Cleaning of Data: Removing or correcting inaccuracies, inconsistencies, and duplicates to ensure data quality.

Data Processing: Organizing and structuring data for analysis, which may involve transformations, aggregations, and normalizations.

Analysis: Applying statistical, mathematical, or machine learning techniques to extract insights. Common methods include descriptive analytics (summarizing data), diagnostic analytics (understanding causes), predictive analytics (forecasting future trends), and prescriptive analytics (recommending actions).

Visualization: Presenting data and analysis results through charts, graphs, dashboards, and other visual tools to make insights understandable and actionable.

Data Interpretation: Drawing meaningful conclusions and making data-driven decisions based on the analysis results.

Tools and Technologies

  • Spreadsheet Software: Such as Microsoft Excel or Google Sheets for basic data analysis and visualization.
  • Statistical Software: Like R or SAS for advanced statistical analysis.
  • Business Intelligence (BI) Tools: Such as Tableau or Power BI for data visualization and reporting.
  • Data Analytics Platforms: Including Google Analytics for web analytics and Apache Hadoop for big data processing.
  • Cloud Data Warehousing and Analytics: Google BigQuery for scalable and high-performance data storage, querying, and real-time analytics.

Google BigQuery

Google BigQuery serves as a robust data analytics business solution by offering scalable data warehousing, high-performance analytics, and cost-effective pricing. It supports petabytes of data with automatic scaling, enabling businesses to run complex SQL queries and perform real-time analytics quickly. BigQuery’s pay-as-you-go model separates storage and querying costs, making it an affordable option for large-scale data analysis. Seamless integration with the Google Cloud ecosystem, including tools like Google Data Studio and BigQuery ML, enhances its functionality, while robust security features ensure data protection and compliance.

Advantages 

Informed Decision-Making:

Provides insights based on data, leading to more accurate and strategic decisions.

Enhanced Efficiency:

Identifies inefficiencies and optimizes processes, reducing costs and improving productivity.

Improved Customer Experience:

Enables personalized marketing and services, leading to higher customer satisfaction and loyalty.

Competitive Advantage:

Helps understand market trends and competitor strategies, allowing businesses to stay ahead.

Risk Management:

Detects potential risks and fraud, and ensures compliance with regulations, minimizing financial and operational risks.

Innovation:

Reveals new opportunities and trends, driving product development and innovative solutions.

Real-Time Insights:

Provides up-to-date information for timely decisions and responses to changing conditions.

Challenges for Data Analytics Developers

  • Data Privacy: Ensuring that data is handled in compliance with privacy regulations.
  • Data Security: Protecting data from unauthorized access and breaches.
  • Data Overload: Managing and interpreting large volumes of data without becoming overwhelmed.

Data Analysts at DevProvider

DevProvider offers top-tier data analysts, including expert Tableau developers, skilled in transforming raw data into actionable insights. Our team is proficient in essential tools like Excel for detailed data analysis, Tableau for creating dynamic visualizations, and Airtable for collaborative data management. By leveraging these tools, our analysts provide valuable insights and support informed decision-making to drive your business forward. For more information, contact us

Great Reviews

Our clients rave about the top-tier tech talents we provide, delivering outstanding results on their projects.

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★★★★★

As the Head of Digital at Reflexblue, I have had the privilege of working with DevProvider on various projects over the past 15 years, and I am consistently impressed by…

Ricki Neill
Ricki Neill
Head of Digital
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★★★★★

"They are very willing to assemble the team that we ask for if we have certain preferences. Their flexibility and responsiveness ensure that our unique needs are met promptly."

George
George
Program Manager
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★★★★★

"Things that truly impressed me were their collaborative approach to team building, which fostered a strong sense of unity and creativity among team members."

Booksom
Booksom
CEO

Frequently Asked Questions

Here are some questions related to Data Analysts that our clients frequently ask:

When hiring a data analyst through staff augmentation, you engage with a staffing provider who will source, vet, and place qualified data analysts in your organization based on your specific requirements. The analyst works under your direction but is employed by the staffing agency.

Define your project requirements, including skills, experience, and industry knowledge. Review resumes, conduct interviews, and assess technical competencies to ensure the analyst aligns with your needs.

Yes, we offer flexible staffing models like contract, project-based or dedicated teams based on your requirements and budget.

Ensure compliance with labor laws, contracts, and agreements. The staffing agency typically handles legal aspects related to employment, but it’s important to review contracts and understand the terms.

DevProvider utilizes a range of advanced tools for data analysis, including Excel for data manipulation, Tableau for interactive visualizations, Airtable for flexible data management and collaboration, and Google BigQuery for scalable data warehousing and high-performance analytics, supported by our expert Tableau developers.

Still have questions? We are here to help you! Contact Us or explore job opportunities as Data Analytics Engineer.