Data Analyst

5 hours, 13 minutes ago
Mid Level
Data Science and Analytics
Coforge

Coforge

Coforge is a global digital services provider specializing in transforming businesses through technology and industry expertise, powering growth with innovative solutions and platforms.

IT Services
10K-50K
Founded 1992

Description

  • Identify business questions, performance gaps, and improvement opportunities and translate them into analytical approaches.
  • Support BMP initiatives by delivering insights on business performance, operational efficiency, financial drivers, and strategic KPIs.
  • Design, build, and maintain dashboards, reports, and analytical models that track performance against targets.
  • Conduct ad hoc and deep-dive analyses to explain trends, variances, risks, opportunities, and business impact.
  • Work with business stakeholders to define objectives, metrics, and decision-focused analytical outputs.
  • Partner with data engineering, finance, and analytics teams to ensure data quality, consistency, and scalable reporting solutions.
  • Synthesize complex analyses into clear narratives and presentations for senior leaders.
  • Contribute to continuous improvement of analytical frameworks, tools, and best practices within the analytics team.

Requirements

  • Master’s degree in Analytics, Data Science, Economics, Statistics, Engineering, Business, or a related quantitative field.
  • Experience in data analysis, business analytics, or performance management roles.
  • Strong experience with SQL and at least one analytical programming language such as Python.
  • Experience building dashboards and reports using BI tools, with Power BI preferred.
  • Strong analytical thinking and the ability to structure ambiguous problems.
  • Excellent communication and presentation skills for technical and non-technical audiences.
  • Proven ability to collaborate effectively in cross-functional teams.
  • Fluent in English.
  • Experience with financial or business performance management analytics (preferred).
  • Familiarity with forecasting, statistical analysis, and scenario modeling (preferred).
  • Experience with cloud-based data environments such as AWS (preferred).
  • Experience with data pipelines, automation, or orchestration tools such as Airflow (preferred).
  • Exposure to big data or distributed processing frameworks such as Spark or PySpark (preferred).
  • Experience working in a matrixed, global organization (preferred).

Benefits

  • Remote work location in Brazil.
  • Hiring based solely on skills, with no discrimination based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Interested in this position?

Apply directly on the company website

Apply Now

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