Data Insights Professional

1 semana atrás

Brasil beBeeDataInsights Tempo inteiro US$60.000 - US$100.000
Data Insights Professional

We are seeking a detail-oriented professional to join our team as a Data Insights Professional. The successful candidate will be responsible for collecting, analyzing, and interpreting large datasets to identify trends, patterns, and insights that can drive business decisions.

Key Responsibilities:
  • Data Collection & Management:
    • Gather and extract data from various sources (databases, APIs, spreadsheets, etc.).
    • Clean, validate, and organize raw data to ensure accuracy, completeness, and consistency.
    • Develop and maintain robust data pipelines and data models for reporting and analysis.
  • Data Analysis & Interpretation:
    • Perform in-depth statistical analysis, trend analysis, and predictive modeling using various analytical techniques.
    • Identify key metrics, track performance, and uncover actionable insights from complex datasets.
    • Conduct A/B testing analysis and provide recommendations based on results.
    • Develop and execute SQL queries to extract, manipulate, and analyze data.
  • Reporting & Visualization:
    • Design, develop, and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI, Looker).
    • Create compelling visual representations of data that tell a clear story and highlight key findings.
    • Automate routine reports and develop self-service analytics capabilities for business users.
  • Communication & Collaboration:
    • Presentation of findings and recommendations to stakeholders across different departments, including management, marketing, product, and operations.
    • Collaboration with business users to understand their data needs and translate them into technical requirements.
    • Work closely with data engineers and other data professionals to ensure data quality and accessibility.
  • Problem Solving & Continuous Improvement:
    • Proactive identification of opportunities for data-driven improvements across the business.
    • Troubleshooting of data-related issues and ensuring data integrity.
    • Staying up-to-date with industry best practices, new analytical techniques, and data technologies.
Qualifications:
  • Education:
    • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related discipline.
  • Experience:
    • At least 2 years of experience in a Data Analyst, Business Analyst, or similar role.
  • Technical Skills:
    • Proficiency in SQL is mandatory for data extraction and manipulation.
    • Strong experience with at least one data visualization tool (e.g., Tableau, Power BI, Looker, Qlik Sense).
    • Experience with statistical programming languages (e.g., Python with Pandas/NumPy/SciPy, R) for data analysis and modeling.
    • Familiarity with database systems (e.g., MySQL, PostgreSQL, SQL Server, Snowflake, Redshift).
    • Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP, complex formulas).
Preferred Skills:
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of cloud platforms (AWS, Azure, GCP) and their data services.
  • Understanding of machine learning concepts and their application in business.
  • Experience with web analytics tools (e.g., Google Analytics).
  • Strong understanding of business processes and key performance indicators (KPIs) in a relevant industry.
  • Excellent communication (written and verbal), interpersonal, and presentation skills.
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Strong critical thinking and problem-solving abilities with a keen attention to detail.

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