AV SPI Data & Reporting Specialist

Asticom Technology Inc

Taguig

On-site

PHP 360,000 - 600,000

Full time

14 days+
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Job summary

The role requires at least 2 years of relevant experience and advanced Excel skills, with strong data management abilities in a fast-paced environment. You will be expected to meet deadlines and contribute to data-driven decision making.

The ideal candidate is highly organized, detail-oriented, and able to collaborate effectively with stakeholders to uphold data quality.

Qualifications

  • Graduate of a Business-related course.
  • At least 2 years of relevant work experience.
  • Advanced proficiency in Microsoft Excel.
  • Detail-oriented and highly organized.
  • Strong work ethic and sense of responsibility.
  • Good analytical and data management skills.
  • Ability to meet deadlines and comply with established KPIs and SLAs.
  • Good communication and coordination skills.

Responsibilities

  • Generate and maintain required reports.
  • Track and monitor retail prices to ensure accurate and updated data.
  • Prepare back-end data and supporting information for dealer meetings.
  • Monitor dealer PSI data and ensure timely and accurate uploading.
  • Manage, consolidate, and maintain retail data for reporting purposes.
  • Ensure accurate and timely submission of weekly reports.
  • Ensure timely uploading of all required data in accordance with established KPIs and SLAs.
  • Monitor compliance with reporting and data submission timelines.
  • Coordinate with relevant teams and stakeholders to obtain and validate required data.

Skills

Advanced Excel
Data analysis
Reporting
Attention to detail
Data management
Deadline oriented
Communication
KPI/SLA knowledge

Education

Bachelor's degree in business-related field

Tools

Microsoft Excel

Job description

The role requires at least 2 years of relevant experience and advanced Excel skills, with strong data management abilities in a fast-paced environment. You will be expected to meet deadlines and contribute to data-driven decision making.

The ideal candidate is highly organized, detail-oriented, and able to collaborate effectively with stakeholders to uphold data quality.

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