About the role

  • Data Analyst developing and managing strategic insights to leverage data as a strategic asset. Collaborating with teams for data extraction and processing.

Responsibilities

  • Develop and promote data as a strategic asset by applying data management, metadata, and data quality practices.
  • Define, propose, and monitor indicators related to the organization, stability, quality, and availability of information. Knowledge and skills: experience in data extraction and processing – SQL, Python, Power BI or Spotfire; dashboard design; data storytelling; and statistics.

Requirements

  • Education: University degree in final year or completed certification.
  • Required technical knowledge:
  • · Experience in data extraction and processing – SQL, Python, Power BI or Spotfire; dashboard design; data storytelling; and statistics.
  • Certification: Not required

Benefits

  • Health insurance;
  • Dental plan;
  • Prudential insurance: employees are provided, at no cost, with life insurance, funeral assistance, and a birth benefit package, according to the insurer’s specific rules;
  • Meal voucher or food allowance;
  • Transportation voucher: provided for the commute between home and work; a monthly deduction of 6% of the salary applies, limited to the value of the benefit (optional);
  • Day off: employees receive a day off for their birthday, to be taken on the date and/or within the birthday month;
  • Payroll-deductible loan (consigned loan);
  • Partnerships and agreements (educational institutions, gyms, language courses, among others);
  • Workplace exercise sessions.

Job title

Data Analyst, Mid-level

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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