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Data Analyst (Python, PL/SQL) - Remote Contract

Crossing Hurdles

Remote · Contrato

Sé el primero en postularte

Experiencia
3+ años
Salario
USD 20 – USD 45 / hour
Vacantes
1
Al corriente
Hace 2 horas
Modo de trabajo
Trabajar desde casa
Educación
licenciatura
Reanudar
Se requiere solicitud

Descripción del trabajo

Position Summary

We are seeking an experienced Data Analyst proficient in Python and PL/SQL to join a remote contract opportunity. The role involves analyzing extensive datasets to extract meaningful business insights, writing advanced queries, automating data processes, and producing clear data visualizations and reports for decision-making.

Key Responsibilities

  • Investigate large volumes of data to identify trends, patterns, and provide actionable insights that align with business goals.
  • Create, enhance, and sustain sophisticated PL/SQL queries to extract and handle data effectively.
  • Implement Python scripts for automation, data cleansing, and comprehensive statistical analysis.
  • Design detailed data reports and visualizations to effectively communicate findings to stakeholders.
  • Work closely with various remote teams to understand data needs and deliver tailored data-driven solutions.
  • Maintain data accuracy and consistency across diverse data sources and systems.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related discipline.
  • Minimum of 3 years' experience as a Data Analyst or in a related analytical role.
  • Strong proficiency in Python programming for data manipulation and automation.
  • Expert-level knowledge of PL/SQL for data extraction, transformation, and management.
  • Excellent communication abilities, both written and verbal, to explain intricate data insights to technical and non-technical audiences alike.

Additional Information

  • Type of Engagement: Contract position.
  • Compensation Range: $20 to $45 per hour.
  • Work Hours: Flexible, between 10 to 40 hours per week.
  • Workplace: Fully remote, suitable for candidates based in the United Kingdom.

Application Process

  • Submit your application easily through the appropriate application channel.
  • Await email instructions for further steps.
  • Proceed with resume evaluation followed by interview rounds.

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