Data Analyst

InComm Payments; Brasil; Teletrabalho; BRL 100.000 - 140.000; Tempo integral

Resumo da oferta

InComm Payments is seeking a Data Analyst to transform complex datasets into actionable insights while collaborating with various teams. Candidates must possess strong analytical skills and experience with SQL, Azure, and Power BI. This full-time position offers 100% remote work and excellent benefits, including meal and home office allowances.

Serviços

Home office allowance (R$340)

Meal allowance (R$1,150)

10% annual bonus

Life insurance

Hardware provided

Educational support

Qualificações

• Solid experience in SQL Server and strong skills in writing SQL queries.
• Proficiency in data visualization tools like Power BI or similar.
• 4+ years of experience as a Data Analyst or in a similar role.

Responsabilidades

• Extract, transform, and analyze data using SQL Server and Azure tools.
• Develop reports and visualizations in Power BI.
• Collaborate with product, engineering, and business teams.

Conhecimentos

SQL queries

Data visualization

Analytical skills

Problem-solving

Data accuracy

Formação académica

Bachelor’s degree in Computer Science

Bachelor’s degree in Statistics

Bachelor’s degree in Engineering

Bachelor’s degree in Economics

Ferramentas

SQL Server

Azure Synapse

Azure Data Factory

Power BI

ETL tools (SSIS, Informatica)

Descrição da oferta de emprego

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InComm is a global leader in the payments industry with over 30 years of experience and a presence in 30+ countries. As pioneers in gift cards, we hold two-thirds of the global market share. Our mission is to revolutionize global commerce through innovative payment technologies for retailers, brands, and consumers.

We’re looking for a Data Analyst to join our growing data team and help us transform data into actionable insights. This role is ideal for professionals who enjoy digging into complex datasets, building dashboards, and partnering with cross-functional teams to support data-driven decision-making.

Fluent or advanced English is required for daily communication with our international teams.

What You’ll Do:

• Analyze and Visualize Data: Extract, transform, and analyze data using SQL Server, Excel, and Azure tools to support business decisions.
• Build Reports and Dashboards: Develop reports and visualizations in Power BI and/or other BI tools to deliver insights to stakeholders.
• Collaborate Across Teams: Work closely with product, engineering, and business teams to gather requirements and provide analytical support.
• Ensure Data Accuracy: Validate data sources and ensure data integrity across reporting and analysis processes.
• Support Data Pipelines: Collaborate with data engineers to understand and enhance data flows and ensure availability of reliable data.
• Drive Continuous Improvement: Identify opportunities for automation and improved efficiency in data reporting and analysis.

What You Bring:

• Solid experience in SQL Server and strong skills in writing SQL queries;
• Solid experience with Azure Synapse, Azure Data Factory, and data pipelines;
• Experience working with ETL tools (SSIS, Informatica, or similar) in collaboration with data engineering teams;
• Proficiency in data visualization tools like Power BI or similar;
• Strong analytical and problem-solving skills, with the ability to turn data into business insights;
• Fluent or advanced English;
• Bachelor’s degree in a related field (e.g., Computer Science, Statistics, Engineering, Economics);
• 4+ years of experience as a Data Analyst or in a similar role.

Nice to Have:

• Basic understanding of DevOps practices and CI/CD concepts;
• Knowledge of data warehousing and data modeling;
• Experience with cloud-based environments (Azure preferred);
• Familiarity with project management tools (JIRA, Confluence, etc.).
• R$340 home office allowance
• R$1,150 meal/food allowance (VR/VA)
• 10% annual bonus
• Life insurance
• Hardware provided
• 100% remote
• Educational support

If you’re passionate about data, love solving problems, and want to make a real impact in a global company, we’d love to meet you!

Apply today and help us turn data into decisions.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  IT Services and IT Consulting

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