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Vetted Data analytics developer in Mexico (UTC-6)
As a self-disciplined and results-oriented Data Analyst, I bring over three years of experience in leveraging data to drive strategic business decisions and foster growth. Working closely with Walmart on their digital wallet project, Cashi, as a contributor at Bluetab, I played a pivotal role in enhancing user acquisition and retention strategies. My expertise in SQL, Python, Power BI, and Looker was instrumental in deriving insights that significantly improved operational efficiency. Proud of my substantial contributions to the success of Walmart's Cashi project, one of the top-tier retail initiatives in the country, this experience has deepened my passion for transforming complex data sets into strategic assets that propel business growth and innovation. I am eager to continue leveraging my analytical skills in roles where data is a central element of decision-making, contributing to impactful, data-driven strategies. As I advance in my career, my commitment to the principle that the right use of data can be the most transformative tool for organizational development and success remains steadfast, and I am excited about the opportunity to bring this dedication to a new and challenging environment.
Vetted Data analytics developer in Mexico (UTC-7)
Software Engineer with +10 years of experience who can think “out of the box”. Strong in design and integration problem solving skills. Expert in C#, .NET, T-SQL, [ASP.Net](http://asp.net/).
Vetted Data analytics developer in Mexico (UTC-6)
Senior BI Professional with over 17 years of experience in data analysis, executive reporting, and business intelligence across multiple industries. \- Proven track record of delivering high-quality, accurate, and timely reports and analyses that support executive decision-making; \- Expertise in a variety of BI tools and technologies, including Microsoft Power BI, SQL, and BigQuery; \- Strong analytical and problem-solving skills; \- Excellent communication and presentation skills. Skills: Power BI (DAX, Power Query) | SQL Server (SSAS, SSIS, Query) | Databases (SQL Server, MySQL, Postgress, BigQuery) Cloud (Azure, Google Cloud Platform) | Power Platform (Power Automate, Power BI, Power Apps, Office 365, CDS)
Vetted Data analytics developer in Mexico (UTC-6)
Over 10+ years’ experience as ETL DWH Dev / BI Architect, providing interface solutions between relational DB and cloud DB with high experience with data analytic, also including support for fix errors on productions systems and developing interfaces from design, test, phases to implement on production systems. As a BI Architect have implementing business intelligence for the organization, Maintain, support, and enhance the business intelligence data backend, including data warehouses. Professional skills: * Research and measurable fulfillment of the objectives defined in each project * Efective communication * Contribution of ideas and attitude of constant collaborative learning * Precise definition of scope and responsibilities * Administration of parallel tasks * Horizontal Leadership * Rules based on best practice
Vetted Data analytics developer in Mexico (UTC-6)
Highly skilled Software Engineer with a strong focus on actionable solutions. Proficient in quantitative analysis, project management, and application design and development within the technology and ecommerce sectors. Experienced in requirements gathering, process mapping, optimization, automation, systems design, implementation, data analysis, and migration. Demonstrated success in budget management, team leadership, and building strong customer relationships across multiple projects. Resourceful, tech-savvy, and goal-oriented, with exceptional managerial, analytical, and communication abilities."
Vetted Data analytics developer in Mexico (UTC-6)
Leticia Díaz is a consultant with 12 years of experience in Banking, Retail, Insurance and Pharmaceutical industries related to Statistical analysis, Business Intelligence and Machine Learning algorithms whose main objective is to produce predictive and prescriptive analytics to ensure that the organization has efficient and timely analytics to support their strategy execution. Possesses skills in finance, logistics, business intelligence, engineering, data science and prevention of money laundering. It applies a leading financial planning and analysis capability to inform Senior Management on key trends and analysis of the most significant variables.
Vetted Data analytics developer in Mexico (UTC-6)
Be a professional and a researcher capable of solving data driven models by applying Data Engineering and Machine Learning models. Data Engineer and Researcher in Computer Science oriented to design and develop solutions related to Data and Analytics, and Machine Learning. * Solving problems by application of Research methods in Machine Learning and Data Engineering. * Experienced in Big Data Technologies like Hadoop, Scala, and Spark. * Experienced in using cloud computing environments like Microsoft Azure and Google Cloud. * Experienced in the management of IT resources and projects. * Experienced in Programming Languages: C/C++, Java, Python, Scala, C#, Matlab, and R. * User of SQL language with the following RDBMS: SQL Server, MySQL, PostgreSQL, and Spark-SQL.
Data analytics developer in Mexico (UTC-6)
Hi! My name is Jordi, I'm from Mexico and I'm a BI/DW professional with over 17 years of experience. I have a master degree in Business Intelligence by the Univesity of Barcelona and a batch of relevant training in this field. I have worked with several BI tools like QlikView, Tableau, Artus and during this last five years I have been working with Power BI. I have experience as an ETL analyst/developer and most of my experience is using MS SQL Server DTS/SSIS tools. I possess good knowledge in dimensional modelling using Kimball's approach. I have plenty of experience in data analytics, integration & visualization. All this experience has been obtained while working for big US companies like Jhonson Controls, Mohawk Industries/Daltile and medium size companies here in Mexico.
Data analytics developer in Mexico (UTC-6)
Desde que inicie mi carrera profesional mi meta siempre ha sido la data y todo lo que tenga que ver con análisis de datos e ir escalando y aprendiendo poco a poco hasta llegar hacer un arquitecto y data Science, para esto he venido de desde abajo como analista e ir incrementando mis conocimientos en diversos software. Actualmente he podido llegar como BI Science Senior y el próximo paso es ya fungir como Data Science completamente ya que he podido trabajar con software como R o Python.
Data analytics developer in Mexico (UTC-6)
I am a Strategy Data Analyst with experience in managing teams, strategic planning, and data analysis in government and academic settings. Skilled in SQL, metrics development, and proficient in Spanish.
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Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Data analytics developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Data analytics developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Data analytics developers can help keep your website up-to-date.
To hire a Data analytics developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Data analytics developers effectively and efficiently. Hire full-time Data analytics developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Data analytics developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Data analytics developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Data analytics developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data analytics developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Data analytics developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Data analytics developers, consider niche platforms like Arc that naturally attract and carefully vet their Data analytics developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data analytics developers.
Some factors to consider when you hire Data analytics developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Data analytics developers for hire.
Writing a good Data analytics developer job description is crucial in helping you hire Data analytics developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Data analytics developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Data analytics developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Data analytics developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Data analytics developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Data analytics developers to keep up with evolving technology and requirements.
You can find a variety of Data analytics developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data analytics developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data analytics developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Data analytics developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data analytics developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Data analytics developers.
Every Data analytics developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Data analytics developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data analytics developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Data analytics developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Data analytics developers, you can rest assured that all remote Data analytics developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Data analytics developers before we present them to you. As such, all the remote Data analytics developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Data analytics developer in 72 hours, or find a full-time Data analytics developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Data analytics developers.
Depending on the freelance developer job board you use, freelance remote Data analytics developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data analytics developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Data analytics developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Data analytics developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Data analytics developers, check out our FAQs page.