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Data Analyst

2 meses atrás

São Paulo, São Paulo, Brasil Data Meaning Tempo inteiro

About Data Meaning

Data Meaning is a leading Business Intelligence and Data Analytics consulting firm, renowned for delivering high-quality consulting services throughout the US and LATAM. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. As a Tableau Preferred Partner and the distinguished Alteryx 2020 Global Partner of the Year, we are dedicated to bringing premier services to our diverse clientele.

Our Mission

We are committed to helping our clients make data-driven decisions by providing expert analysis and insights. Our team of experienced professionals is passionate about leveraging data to drive business growth and improvement.

Job Summary

We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will have experience with either Python or R, Power BI or Tableau, and excellent understanding of Data Analysis, Data Mining, Statistical Modeling, and Big Data Infrastructure.

Key Responsibilities

  • Ensure data integrity and address imperfections in data.
  • Effectively process structured and semi-structured/unstructured data; proficiently integrate varied datasets.
  • Work cross-functionally with development and engineering teams.
  • Analyze large amounts of information to discover trends and patterns, draw conclusions and gain actionable insights.
  • Build predictive models; propose solutions and strategies for business problems.
  • Apply the appropriate machine learning algorithm to data problems (e.g. supervised vs. unsupervised machine learning, clustering, ensemble methods, etc.), validate model results.
  • Work closely with architecture and engineering team to deploy models; communicate results in a clear and non-technical manner.
  • Interact with senior management and effectively communicate technical information to numerous audiences.
  • Address challenges to analytic processes and influence others to change their approach and work collectively to implement new tools/techniques.
  • Gain support from related stakeholders for analytic solutions and champion data-driven business decisions.
  • Apply appropriate statistical techniques to data exploration and model development/assessment.
  • Communicate complex statistical concepts to non-technical audiences; maintain skills through continuing education.
  • Create meaningful data visualizations to communicate results and highlight business impact.
  • Effectively collaborate with others to deliver efficient and high-quality code (Python or R).
  • Implement solid validation process to ensure consistency and minimize errors in code.
  • Champion more efficient ways to produce code, maintain skills through continuing education; stay up to date on new technologies/tools.
  • Seamlessly transition between languages to apply the right approach to the problem.
  • Understanding of Big Data infrastructure – Hadoop, MapReduce, and Spark.

Requirements

  • Bachelor's degree in Computer Science, Math, or Statistics is preferred.
  • At least 4 years of professional experience in a data-related role.
  • Good communication skills (English is a PLUS).
  • Knowledge of Statistics and Statistical Modeling.
  • Understanding of Machine Learning and Predictive Analytics.
  • Data analysis programming languages – Python and R (at least one).
  • Database languages – SQL and NoSQL (desirable).
  • Data Visualization – Power BI or Tableau.