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To achieve success in any business, it is crucial to have a deep understanding of customer habits and demographics. By analyzing data from various sources such as your website, social media feeds, and customer database, you can gain insights into your target audience and their behavior. This information can then be used to tailor services and product launches to specific groups, leading to more successful sales.

Hire Data analysts because they play a key role in making informed business decisions by providing the necessary information to evaluate different options and testing to see which outcomes would be more beneficial for the business. They also monitor metrics related to important changes to help ensure that the final decision will not lead to any mistakes or costly wrong moves.

Experienced Data Analysts

At Supersourcing, we recognize the importance of hiring Data Analysts, who are certified and have good experience, to ensure success in building a Unicorn startup or digital enterprise product. That's why we only select the top 1% of applicants through a rigorous interview process.

By hiring Data Analysts from Supersourcing, you can trust that your team will have a wealth of industry experience and a proven track record of successfully completing complex projects in software, websites, and apps. Trust Supersourcing to provide the experienced Data Analysts you need to hit the ground running and deliver exceptional work from the start.

Immediate Availability

Stop losing valuable employees during notice periods with Supersourcing. Our platform gives you access to immediately available Data Analysts, allowing you to build your team quickly without waiting for weeks or months.

With our platform, hiring 1-10 developers takes just three days or less, giving you the flexibility and speed you need to meet your business goals. Say goodbye to long notice periods and hello to a more efficient way of hiring with Supersourcing.

No Freelancers

While freelancers can be a viable option for certain short-term or one-off projects, such as content creation or logo design, they may not be the best fit for more complex and collaborative projects. It might be risky to rely on freelancers for extensive engagement in a project because many businesses have had terrible experiences with them, especially when using freelance platforms.

At Supersourcing, we understand the importance of having experienced Data Analysts working on your project. That's why we only employ full-time candidates and never independent contractors. Our developers will be fully dedicated to your project and provide the undivided attention it needs. After a six-month trial period, you have the option to hire them on a full-time contract, providing you the chance to "try before you buy" and make sure the team is a suitable fit for your requirements before committing to a long-term relationship. Trust Supersourcing to provide the experienced and dedicated Data Analysts your project needs.

Certified & Verified Data Analysts

Finding and hiring Data Analysts who are highly skilled and reliable can be a challenge among the pool of talent on various hiring platforms. However, Supersourcing simplifies this process. We ensure that all of our Data Analysts are certified and verified through multiple checks to guarantee their expertise and experience to deliver high-quality work.

In fact, only the top 1% of applicants pass our rigorous interview process. Our commitment to quality is reflected in our impressive track record - over 700 positive reviews, 99% customer satisfaction rate, and 95% of our business coming from repeat customers. Trust Supersourcing to provide you with the best Data Analysts available.

When evaluating potential Data Analysts for your project, it's crucial to evaluate their qualifications, including their previous experience and skills. To make a well-informed decision when hiring Data Analysts, we gather various pieces of information such as their industry experience, familiarity with different stages of product development, previous reporting structures, and work habits, including their level of participation in ideation and architectural design. All these factors can help to evaluate the Data Analyst's level of experience, skill set, and compatibility with your project and team.

  • Industry experience:

    When assessing potential Data Analysts, we evaluate their experience in various industries, such as Fintech, Healthcare, Loan management, Dating, SaaS, and IoT. This helps us determine their familiarity with the specific challenges and requirements of your industry and assess their suitability for your project. Past experience in similar projects within your industry can indicate a developer's understanding of the sector and their ability to effectively contribute to your project.

  • Project stages:

    To gauge the depth of a Data Analyst's experience, we inquire about their involvement in different stages of product development, including the idea stage, growth stage, multi-location expansion, and PMF stage. This information helps us evaluate their skills and knowledge for handling projects at various stages of development and determine their suitability for your project.

  • Reporting structure:

    Candidates are also questioned about their previous reporting lines and the people they have reported to, such as clients, CTOs, senior engineers, or others. Developers who have reported to CTOs or other high-level leaders in the past may be more experienced and proficient due to the added responsibility and leadership opportunities that such positions often involve.

  • Contribution:

    We aim to understand developers' work patterns, including whether they simply complete assigned tasks or also contribute ideas and assist in designing architecture. This information helps us evaluate the quality of their work and determine the most suitable role for them within your team.

Detailed Profiles

Traditionally, the information available about potential hires is limited to their resumes, which may not provide a complete picture of their suitability for your project. At Supersourcing, we offer a more comprehensive approach by delivering digital resumes for our Data Analysts that include not only their technical skills and project experience but also assessment scores and an introduction video.

This allows you to better understand the candidate's abilities before making a hiring decision. Our goal is to streamline the hiring process by creating detailed profiles that include the results of our pre-vetted interviews, past work, and quality scores, so you can confidently hire Data Analysts who are the best fit for your project without wasting time on unnecessary interviews.

24*7 Human Support, No Bot!

When it comes to ongoing support, it's essential to have access to human assistance that can address your needs promptly, rather than relying on automated support or ticket-based systems. At Supersourcing, we take this into consideration by assigning a dedicated account manager to each of our Data Analysts.

These account managers are well-versed in managing large accounts within your specific technology and industry, ensuring that you have access to expert support whenever necessary. We pride ourselves on providing exceptional customer service, which sets us apart from other providers in the industry.

Why Hire Data Analysts From Supersourcing?

Analytics as a Service (AaaS)

Hire pre-vetted Data Analysts from Supersourcing to carry out data analysis on a fully customized cloud analytics platform of your choice.

Managed data analysis

Hire Data Analysts to handle the collection and processing of your data, providing you with immediate or regular analytics insights.

Data analytics consulting

Allow our seasoned Data Analysts and consultants to assist you in selecting the best data analytics strategy, and aid you in creating, developing, executing, and enhancing a unique data analytics solution.

Data analytics implementation

Supersourcing's Data Analysts can construct and execute an analytics solution that satisfies your current data analytics requirements and can expand as they evolve. This solution can include features such as Data Warehouses, Data Visualization, Data Science, Big Data and more.

Data analytics modernization

Engage Data Analysts to enhance your current data analytics solution for optimal ROI and to fulfill new data analytics requirements.

Data management services

Our Data Analysts establish a sturdy framework for data management to streamline your data collection, storage, access, security, and analysis processes.

Supersourcing Vs Freelancers Vs Other Providers

Factors Freelancers/Others Supersourcing Developers
1. Quality Partnering with freelancers can be challenging as it can be hard to measure their openness and dependability. Doubts about their qualifications and work quality can create uncertainty about the success of your project. Supersourcing adopts a distinct strategy by thoroughly evaluating all of our Data Analysts and equipping them with specialized tools and resources to ensure that they stay current with industry advancements and consistently produce exceptional outcomes.
2. Security When working with multiple clients, freelance developers must ensure that information is kept secure at all times. We prioritize the confidentiality of your data at Supersourcing. Our Data Analysts are required to comply with strict non-disclosure agreements (NDAs) and we have implemented robust security measures to ensure that our solutions are delivered securely.
3. Cost Hiring freelancers can be risky for various reasons, one being that it can increase the expense of your project, and another, the possibility of an unexpected departure, resulting in incomplete work and wasted resources. Supersourcing offers various options for hiring Data Analysts remotely that can help you reduce costs and lower risks, while still obtaining the necessary support to complete your project successfully
4. Onboarding Employing freelancers can be challenging as there's always the risk that they may not meet their commitments, which can be a frustrating and expensive experience, especially if they leave before even starting. Supersourcing offers a wide range of proficient Data Analysts who are ready to start working on your project as soon as you need them. This ensures a seamless and stress-free onboarding process without the fear of delays or unexpected departures.
5. Motivation Working with freelance developers can sometimes lead to a lack of commitment or engagement from them, as their primary focus may be on earning money We handpick our Data Analysts for their genuine passion for technology and their desire to make a meaningful impact. Our company culture does not adhere to the traditional 9-5 job mentality and our Data Analysts are motivated to actively participate and become an integral part of your team
6. Commitment With freelancers, there is always a risk that they may not see a project through to completion, potentially leaving you to start over. At Supersourcing, we mitigate this risk by requiring that all of our Data Analysts sign strict contracts which ensure that they will stay committed to your project until it is completed to your satisfaction. This guarantees that your project will always be finished on time and to your expectations.
7. Negotiation Working with a freelancer over time can sometimes lead to unexpected and unwelcome rate increases, requiring time-consuming and potentially difficult negotiations. Supersourcing ensures that you are matched with developers who fit within your budget constraints and the cost is clearly outlined in the contract.

Hire Data Analysts in 4 Steps

Data Analysts Job Description & Requirements

To ensure that you find the best fit for the Data Analyst role you're hiring for, it's important to start by clearly outlining your specific requirements. Include a detailed list of technical skills, project experience, industry/domain expertise, and desired personality traits in your Data Analysts job description to attract top tech talent.

Find the Best Matches

Supersourcing offers a diverse pool of 100+ pre-approved developers who are specialists in Data Analytics. When you provide us with the job description and requirements for your Data Analyst role, we will carefully select the top 5 profiles from our pool of Data Analysts that align with your needs.


Our expert screening team conducts multiple thorough reference checks, code assessments, background screenings, and more on the profiles we send to you. We also provide you with authentic ratings and feedback from their previous employers to aid in your candidate selection process.

You’re all set!

Once you've selected your preferred profile, the candidate will promptly sign the contract and begin the onboarding process to ensure that your project can commence and be completed successfully according to the scheduled timeline.

Data Analysts Job Description

Data Analyst Roles and Responsibilities

  • Identifying and defining business needs to determine the problems to be solved and limit the scope of data to be examined.
  • Gathering data from various sources.
  • Cleaning, processing and validating the data for analysis to guarantee its accuracy
  • Examining and representing data visually.
  • Conducting statistical analysis and experiments to extract business insights.
  • Communicating the results of the analysis in a clear and actionable manner through reports, dashboards, and/or presentations.

Data Analyst Skills

  • Demonstrated experience addressing problems within the project's industry.
  • Knowledge of integrating data from multiple sources.
  • Strong proficiency in at least one query language, especially SQL.
  • understanding of NoSQL databases like MongoDB and Cassandra
  • Familiarity with popular statistical and machine learning techniques such as clustering, linear regression, KNN, decision trees, etc.
  • Strong scripting skills.
  • knowledge of at least one data visualisation tool, such as ggplot, plotly, plotlib, plotly, etc.
  • knowledge of BI tools like Tableau and Power BI.
  • Excellent communication skills.

Create the Perfect Data Analysts Job Description in 5 Simple Steps

A comprehensive and tailored Data Analyst job description will help you and the applicants understand the specific skills and traits you're seeking. This will increase the chances of finding the best matches when hiring Data Analysts.

Once you have your list of requirements, it's time to review potential Data Analysts profiles. We select the best Data Analysts who are available to work full-time on your project and can start immediately.

The Supersourcing team will review your Data Analyst needs and provide you with the top 5 best matches. Before sharing these profiles with you, our dedicated vetting team will verify all the information provided by each candidate, so you can be sure that you are interviewing only authentic candidates.

With detailed profiles and verified feedback from previous employers, you can have confidence that you're hiring Data Analysts who are the right fit for you.

Let's look at some advice for defining the goals and technical specifications of your project.

Outline the company's vision and project goals:

Clearly state the intended outcomes of the project and how they align with the organization's mission and values. Provide specific and measurable objectives, such as increasing revenue or enhancing customer satisfaction.

Explain the steps the team will take:

Detail task assignments, established deadlines, and defined roles to help the candidate understand the importance of schedules and their role in the project.

Establish benchmarks for each objective:

Establish mid-project milestones that the team may work toward to maintain accountability.

Ensure the benchmarks are specific and quantifiable, such as raising sales by a certain percentage per month.

Identify the target audience:

Recognize the intended audience to assist in creating a tailored job description and adapting the project to their needs. Think about things like age, gender, locality, and interests.

Specify technical necessities:

Describe in detail the project's precise hardware and software requirements. Include any scalability strategies that might be required to meet projected growth trends.

Technical questions to ask a Data Analyst

  • Differentiate between Data Mining and Data Profiling.
  • Outline the process involved in any analytics project step-by-step.
  • List the most common problems that data analysts face during data analysis.
  • Describe why exploratory data analysis is done (EDA).
  • Define descriptive, predictive, and prescriptive analytics. List the unique features of each.
  • How will you handle missing values in a given dataset?
  • Describe is Time Series analysis.
  • Differentiate between Overfitting and Underfitting.
  • List the different types of Hypothesis testing.
  • Define Type I and Type II errors in Statistics
  • What is the process of subsetting or filtering data in SQL?
  • Differentiate between a WHERE clause and a HAVING clause in SQL.
  • What is a Subquery in SQL?
  • What is the process to write a stored procedure in SQL.
  • What do you understand by LOD in Tableau?
  • What do you know about Gantt Chart in Tableau?
  • Create a view in Tableau using the Sample Superstore dataset to display State-wise Sales and Profit.
  • Differentiate between Treemaps and Heatmaps in Tableau.
  • Describe the correct syntax for reshape() function in NumPy.

Top 5 Global Companies using Data Analytics & Why?


Tesla, an electric vehicle company founded by Elon Musk, is using data analytics to transform the automobile market and position itself as a leader in the future self-driving car market. All Tesla cars have autopilot functionality, which allows for autonomous steering, braking, and acceleration, and the company's computers are also built with inbuilt, fully autonomous driving functionality. Tesla's vehicles process vision, sonar, and radar data using neural net software and use "fleet learning" to share data among cars, improving their overall analytics processes. This fleet of automated vehicles share real-world insights to ensure safety.


DeepMind, a Google-backed AI company known for its AlphaGo program and solving the protein folding problem in biology, is using machine learning to improve short-term weather forecasting. Their new generative model, called DGMR, uses past data to create "radar movies" that predict the likelihood of rainfall in the next two hours. This technology has been approved by meteorologists in the UK and is being integrated into existing weather prediction systems. DeepMind's approach to weather forecasting demonstrates the potential of data analytics to predict the future more accurately than traditional methods.

HR Wallingford

HR Wallingford, a company focused on solving complex water-related issues, is using data analytics to predict and prevent the spread of dengue fever. They lead a consortium of research organizations to develop a dengue forecasting system called D-MOSS, which is funded by the UK Space Agency’s International Partnership Program. The system provides early warning for dengue outbreaks in six South Asian countries and uses seasonal meteorological data, earth observation data, and data from past dengue outbreaks to predict outbreaks up to seven months in advance. The data comes from orbiting Earth observation satellites, demonstrating the potential of space technology in addressing global issues such as disease.


Spotify uses data analytics not only for backend purposes such as app development and strategy, but also for their annual Spotify Wrapped campaign which provides users with a summary of their past year's listening habits. This campaign, which began in 2016, is not only a clever marketing strategy, but also showcases how data can provide interesting insights into people's musical tastes. By using data analytics, Spotify can also tell users if they are a band's most loyal fan, or if they discovered popular music before it was mainstream. This emotional storytelling helps to build brand loyalty, and generate positive feelings towards the company.


UK-based grocery chain Tesco uses data analytics in their Clubcard rewards program, which was launched in 1995. By collecting data on customer transactions, Tesco was able to gain insights on customer spending habits, preferred products and more. Using data analytics, they were able to tailor coupons and offers to high-spending customers and encourage casual customers to engage more with the store, resulting in increased spending by Clubcard customers. The program's success helped Tesco become the UK's largest grocery store chain, proving the power of data analytics in driving business success.

Q&A for Hiring a Remote Development Team

Is it accurate to say that in-house teams are more productive than offshore development teams?

Research reveals that, contrary to popular assumption, remote development teams frequently see an improvement in productivity. This can be attributed to factors such as the ability to create a personalized schedule, improved communication, reduced stress, and increased motivation. Studies have found that remote development teams report 77% more productivity compared to on-site teams.

Does bringing on a remote development team have an impact on the office culture and work environment?

A remote work environment does not have to negatively impact team cohesion or company culture. By utilizing effective communication and collaboration tools, remote teams can maintain strong connections and relationships. It is essential for organizations to provide these tools to remote workers to ensure they stay connected to their colleagues and the company culture.

Is there a reason to be concerned about data security when working with a remote development team?

Securing sensitive data is crucial when working with any team, especially remote teams. To protect this information, it is vital to have all team members sign strict non-disclosure agreements (NDAs). Companies should also invest in security infrastructure and implement security measures such as password management and two-factor authentication to prevent data breaches and misuse.

What benefits might you expect from working with a remote development team?

Working with a remote development team offers numerous advantages, including access to a wider talent pool, cost savings on office space, greater scheduling flexibility, and higher productivity due to fewer interruptions. Additionally, remote work can create an inclusive work environment where all individuals are given equal opportunities regardless of their physical location or time zone difference.

How to Maximize Post-Hiring Productivity of Remote Data Analysts?

Outline Duties and Responsibilities

Clearly define the expectations and responsibilities of remote workers to ensure they understand their role within the company.

Familiarize with the Business

Conduct induction sessions that align with the company's values and mission to ensure remote workers have a good understanding of the business.

Provide Documentation

Share relevant documentation, such as coding standards, beforehand to give remote workers a better understanding of their role and how the system operates.

Express Gratitude

Show appreciation for remote workers through emails or messages to motivate and inspire them. Allow for Anonymous Feedback: Implement a suggestion box to provide employees with an avenue to express their issues and concerns anonymously, fostering an open and welcoming work environment.

Set Ambitious Goals

Set internal targets that are slightly above what the team is capable of achieving to motivate and challenge remote workers.

Establish Communication Standards

Establish ground rules and standards for communication between the in-house and remote teams to ensure effective communication.

Regular Check-ins and Feedback

Schedule regular check-ins and feedback loops to track progress and identify the needs of remote workers, and offer support and advice.

Organize Company Meetups

Organize company meetups, whether work-related or for fun, to enhance morale and engagement among remote workers by enabling them to collaborate more effectively and bond.

Remote Hiring Fraud- How to Avoid such Risks?

Lack of Qualifications

Verify credentials and skills through portfolios and certifications to ensure remote developers are a good fit for the job and to prevent wasted time and resources on a candidate who is not qualified.

Billing Fraud

Establish clear agreements regarding expected hours and rates, and monitor progress through regular time-tracking submissions to prevent billing fraud, in which employees are invoiced for more hours than they actually worked.

Fake Resumes

Conduct comprehensive background checks, verify candidates' education and work history, and follow up on references to ensure accuracy of the information provided and prevent encountering falsified resumes from candidates.

Misrepresentation of Skills

Assess technical skills through testing to ensure that only qualified candidates are hired and prevent a candidate's misrepresentation of their skills.

Poor Communication

Minimize misunderstandings by assigning a dedicated account manager to facilitate clear communication and ensure effective communication with remote developers.

Outdated Technology & Middlemen

Collaborate with developers who are proficient in current technology and best practices and establish direct communication to avoid problems caused by the use of outdated technology or intermediaries.

Why Trust Supersourcing?

When it comes to software development and data management initiatives, Supersourcing offers a dependable solution. Our recruitment process is thorough, utilizing state-of-the-art AI technology and a seasoned vetting team to select only the most proficient and experienced developers for your project. We also offer a wide range of expertise to cater to any specific needs you may have.

To protect your project and organization, we ensure that all our developers sign strict non-disclosure agreements. Additionally, each client is assigned a dedicated account manager to provide tailored support and communication throughout the development process. You can trust Supersourcing to achieve exceptional results for your platform development project.

AI-Powered Vetting & Experienced Talent Team

At Supersourcing, we utilize advanced AI technology and a team of experts to thoroughly evaluate and confirm the qualifications and background of every remote developer, ensuring they are highly qualified and experienced. This allows clients to have confidence in the abilities and expertise of the developers they hire.

Wide Range of Skills

We offer a wide range of skill sets to cater to any development needs, including expertise in technologies such as React, Node, Python, Angular, Swift, Xamarin, Android, Java, Rails, Golang, DevOps and Machine Learning.

Thorough Testing & Interviewing

To ensure the competence of our developers, we subject them to comprehensive assessments and interviews similar to those in Silicon Valley and mandate strict non-disclosure agreements to protect clients' sensitive data and confidential information.

Strict Non-Disclosure Agreements

Each client is assigned a dedicated account manager to manage communication and promptly attend to any concerns or issues.

Dedicated Account Manager

At Supersourcing, every client is assigned a dedicated account manager, to manage communication and promptly attend to any concerns or issues. This way, you have a dedicated point of contact and can receive assistance speedily and efficiently.

Long-Term Relationships

Supersourcing values long-term partnerships with clients, with over 95% of customers choosing to continue working with the company.

Trusted by Major Companies

We have a proven track record of delivering excellent results as seen by our experience working with prestigious companies, including 24 unicorns, 132 Y-Combinator funded companies and 17 Fortune 500 companies.

24/7 Support

We also provide 24/7 support to attend to any queries or concerns. Our expert client support team Supersourcing will make sure that your recruitment needs are attended to round the clock.

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