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.

The candidate is a seasoned Planning and Control Analyst with extensive experience in data analysis acquired through roles in prominent organizations. Expertise includes the development of automated dashboards and reports employing advanced tools such as Excel (VBA), Power BI, and SQL, with a strong foundation in Business Intelligence methodologies. Proven track record in leading data integration and process automation projects that enhance decision-making efficiency and operational productivity. The candidate's capacity to work under high-pressure environments ensures precision and timely delivery of results. Strong communication skills facilitate the clear presentation of complex data, aligning analytical efforts with strategic business objectives for sustainable growth.

Data Analyst with a degree in Data Analysis, currently pursuing an MBA focused on Big Data. Professional experience since 2018 encompasses system migration, master data management, data management, and logistics and business metrics.

With nine years of experience in data science and four years serving as Head of Data Science, this professional excels in leveraging artificial intelligence, advanced machine learning, and deep learning to tackle complex business challenges. Demonstrated expertise in programming languages such as Python, R, and SQL, coupled with proficiency in data visualization tools like Tableau, Power BI, and Data Studio, empowers the ability to transform raw data into actionable insights. Notable achievements include the development of a predictive credit scoring model and leading data initiatives that enhance strategic decision-making, optimize performance, and drive measurable business outcomes.

Graduated in Systems Analysis and Development from UNICARIOCA in 2021 and currently pursuing a post-graduate degree in Big Data. Experienced FullStack Developer specialized in NodeJs, with expertise in HTML5, CSS3, JavaScript, ReactJs, NodeJs, Git/Github, Sequelize, and MySQL, acquired through advanced training. Possesses two years of experience as a data analyst and one year as a Business Intelligence (BI) consultant. Proficiencies include PL/SQL, Power BI, Power Query, Tableau, Tableau Server and Tableau Prep Builder, DAX language, and ETL processes.

Information Technology professional specialized in Data Analysis, currently progressing towards an MBA in Big Data and Competitive Intelligence and holding a postgraduate degree in Data Analysis. Serving as a Data Analyst with a seven-year background as a Business Intelligence (BI) Analyst, the expertise includes developing predictive, prescriptive, descriptive, and diagnostic analyses, alongside KPI indicators. Proficient in various visualization tools such as Power BI, QlikSense, MetaBase, Looker, and Tableau, dashboards and reports are effectively published to facilitate decision-making for stakeholders and the commercial team.

Data Specialist with expertise in extracting valuable insights from complex datasets and transforming this data into dashboards to assist in strategic decision-making. Responsibilities include contributing to the development of new products, setting operational goals, and enhancing production efficiency. Additionally, duties involve conducting studies on projections and market competitiveness.

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.

Qlik Core is an analytics development platform built on Qlik's Associative Engine, designed for integrating advanced analytics into custom applications. It allows developers to create scalable, high-performance data-driven solutions by leveraging Qlik's powerful data processing and visualization capabilities.

A Qlik Core expert must have proficiency in JavaScript, experience with Docker for containerization, knowledge of RESTful APIs, and a strong understanding of data modeling and ETL processes. Familiarity with Qlik's Associative Engine and experience in developing custom data visualizations are also essential.

How to hire a Qlik Core expert

Qlik Core was developed by Qlik, a company known for its data analytics and business intelligence solutions. It was introduced in 2018 to provide developers with a robust platform for embedding Qlik's Associative Engine into custom applications. The aim was to enable the creation of scalable, high-performance data-driven solutions tailored to specific business needs.

About Qlik Core

Strengths of Qlik Core include its powerful Associative Engine, scalability, and flexibility for custom application development. Weaknesses involve a steep learning curve and potentially high costs. Competitors include 

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