Datawatch is a data intelligence platform that specializes in data preparation and visualization. It enables users to access, manipulate, and visualize data from various sources, transforming it into actionable insights for better decision-making. The platform offers tools for extracting data from complex reports and databases, cleaning and preparing data sets, and creating interactive visualizations to facilitate business analysis.

About Datawatch
Datawatch was developed as a data intelligence solution aimed at improving data accessibility and analysis. It gained prominence for its ability to transform complex data into usable insights through advanced data preparation and visualization tools. The platform evolved to meet the growing demand for efficient data management and analytics, eventually becoming a key player in the business intelligence landscape. Datawatch was originally created to address challenges in handling large volumes of data, enabling organizations to make informed decisions based on comprehensive data analysis.
Strengths of Datawatch included its robust data preparation capabilities, ease of use, and ability to handle complex data sources. Weaknesses involved limited advanced analytics features and potential integration challenges with other systems. Competitors included Tableau, QlikView, and Alteryx, which offered similar data visualization and analytics solutions.
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How to hire a Datawatch expert
A Datawatch expert must possess skills in data preparation and transformation, familiarity with data visualization techniques, and proficiency in handling various data sources. They should also have experience with report extraction, data cleaning processes, and a strong understanding of business intelligence concepts to effectively utilize the platform's capabilities.

Guilherme R.
Skills
Graduated from the Air Cadet Preparatory School (EPCAr) and subsequently from the Air Force Academy (AFA), followed by earning a Bachelor's degree in Administration from CEFET. Initiated a professional career as an intern and advanced to a role as a process analyst, utilizing tools such as Orquestra BPMS and Zeev BPMS to develop workflows, automate processes, and implement systems for clients. This position underscored the critical role of data in analyzing and enhancing sector performance, prompting further education in Data Analytics with an emphasis on Power BI. The drive to improve client services led to acquiring programming skills for tailored form creation. Transitioned to a data-focused role, leveraging extensive expertise with enterprise tools to lead projects, deliver Tableau training sessions, and create customized dashboards for clients.

Felipe G.
Skills
A data engineer and business intelligence analyst with over four years of experience in the industry. Gained foundational knowledge through academic pursuits and further honed technical skills through additional coursework, lectures, and the completion of personal projects. Demonstrates proficiency in programming languages including Python, R, Scala, and Java, and possesses a thorough understanding of machine learning techniques and statistical modeling. Skilled in data visualization tools such as Power BI and Tableau, with extensive experience in ETL processes, big data technologies like Spark and Hadoop, and cloud platforms including Azure, AWS, and GCP. Adept in managing both SQL and NoSQL databases.

Fernando R.
Skills
A qualified professional with over 10 years of experience in information management, specializing in identifying gaps through statistical analysis to inform decision-making. Proficient in BI tools such as Power BI and Tableau, as well as programming languages including R and SQL, alongside advanced Excel capabilities. Demonstrates extensive experience in analyzing sales processes (Sell In and Sell Out), pricing strategies, strategic planning, and enhancing business routines across various regions, channels, and products/categories. Displays a strong aptitude for rapid learning of new activities and technologies, continuously updating knowledge on market trends and innovations.

Luiz V.
Skills
A Data Analyst driven by a passion for data and statistics, consistently seeking to embrace new challenges and innovative solutions. Demonstrates robust competencies in teamwork, excellence, structured thinking, and career development. Exhibits a collaborative work ethic, coupled with adept decision-making and problem-solving capabilities. Possesses strong planning and organizational skills, along with a continuous pursuit of innovation.

Gabriel M.
Skills
A Data Engineer with four years of experience in Engineering and Data Analysis, specializing in converting data into actionable insights across various business domains such as Sales, Finance, Marketing, Customer Success, Governance, and Product. Expertise spans the entire data lifecycle, including extraction, preparation, analysis, and providing recommendations to inform business decisions.
Proficient in designing data pipelines utilizing Python (PySpark) and SQL on Databricks for data ingestion and transformation, along with implementing Big Data solutions on Delta Lake, Data Lake, and Data Warehouse on Azure and AWS cloud platforms. Experienced in developing ETL pipeline routines using Data Factory, custom Python scripts, AWS Lambda, and Airflow, and adept at integrating data from multiple sources like APIs, relational databases (PostgresSQL, MySQL, Oracle, SQL Server, MariaDB, Cassandra), and storage solutions (Azure Data Lake Gen 2, S3). Additionally, proficient in handling various file formats such as Parquet, Delta, CSV, Excel, and JSON.
Demonstrated capability in data analysis, crafting queries in PySpark and SQL to generate reports and dashboards using tools like PowerBI, Tableau, Metabase, and Streamlit. Well-versed in data contracts and versioning scripts within DevOps CI/CD pipelines, and experienced in agile Scrum methodologies within collaborative squad environments.
Other technical proficiencies include Git, Docker, with foundational knowledge of Kubernetes (K8), Terraform, and Jenkins.

Hugo A.
Skills
Management of the entire project domain is conducted by utilizing expertise to elevate the performance of teams, including developers, designers, product owners, and support staff. This is achieved through the establishment of effective processes, motivation strategies, and strategic decision-making. Additionally, performance data analysis is conducted to assess the department's efficiency, project progress, and customer satisfaction. Proficiency in multiple languages enables support for international clients.

José G.
Skills
Data analyst with over one year of professional experience in data analysis, demonstrating robust numerical and logical reasoning capabilities alongside a strong interest in programming and data manipulation. Primarily specializing in Power BI, the candidate has successfully led projects across diverse sectors, including retail, technology, and financial institutions. Proficient in data manipulation using Excel and SQL, the analyst is also acquainted with other Business Intelligence tools such as Tableau. Focused on leveraging data analysis and business intelligence to facilitate data-driven decision-making and support companies in achieving their strategic objectives.

Marcos R.
Skills
A seasoned Data Analyst and Developer, distinguished by extensive experience in audit and accounting across various sectors, including manufacturing, banking, and agribusiness. Proven expertise in financial analysis, KPI development, and data visualization using advanced tools such as Power BI and Tableau. Recognized for promoting innovation within audit processes that led to a dedicated department's establishment. Proficient in a full range of programming languages and technologies, including JavaScript, Python, React, and various database management systems. Highly adept in multicultural teamwork and project management, with a strong record in training and mentoring aspiring professionals. Multilingual communication skills enhance the ability to engage with diverse stakeholders across bilingual environments.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
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