Senior Data Analyst

4 days ago

Manila, National Capital Region, Philippines Unient Full time ₱2,000,000 - ₱2,500,000 per year

We are looking for an experienced Data Analyst to design, build, and optimize data pipelines and architectures in the cloud. You'll work with cutting-edge technologies, turning raw data into actionable insights that drive business decisions.

KEY RESPONSIBILITIES:

  • Develop and implement interactive and innovative data visualizations using BI tools.
  • Translate business requirements into impactful visual solutions that aid decision-making.
  • Collect, clean, and analyze large volumes of data to generate actionable insights.
  • Collaborate with internal teams and clients to understand analytical needs and guide best visualization practices.
  • Ensure the quality and accuracy of presented data.
  • Stay updated with new technologies and trends in data visualization to provide cutting-edge solutions.
  • Work on multiple projects simultaneously and manage priorities effectively.

REQUIRED COMPETENCIES:

  • More than five years' experience with data visualization tools such as Power BI, Tableau, or similar.
  • Strong database experience using SQL Server Postgres MySQL
  • Creative skills and a solid understanding of visual design principles.
  • Knowledge of SQL for querying and manipulating data.
  • Analytical skills and attention to detail.
  • Ability to work well in a team and communicate effectively with stakeholders from diverse areas.

DESIRED COMPETENCIES:

  • Experience with Databricks or Spark on AWS.
  • Familiarity with data governance, security, and compliance practices.
  • Knowledge of containerization (Docker, Kubernetes) in data workflows.
  • AWS certifications (e.g., AWS Certified Data Analytics – Specialty)

QUALIFICATIONS:

  • Candidate must possess at least a Bachelors/College Degree in Computer Science, Computer Engineering, Information Technology or equivalent.
  • More than five years of experience in data visualization utilizing platforms such as Power BI and Tableau, combined with strong technical proficiency in relational database systems, including SQL Sever, PostgreSQL, and MySQL.

BENEFITS:

  • Remuneration commensurate with experience
  • Day shifts with a normal professional work week (8 hours per day, 5 days per week, Saturday and Sunday off)
  • Predominately work from home with team meetups
  • Occasional domestic travel

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