2026-7974 Data Analyst - Senior (Night Shift)

Arch Global Services

Taguig

Hybrid

PHP 720,000 - 1,080,000

Full time

14 days+
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Job summary

Arch Global Services in Taguig, Philippines, is seeking a data analytics professional to support deployment and sustainment of initiatives through data collection, analysis, and reporting to drive repeatable problem solving and leadership routines.

The role requires 3–5 years of data mining experience and proficiency with PowerBI, PowerApps, SQL, Alteryx, and Excel, along with strong analytical and communication skills to transform data into actionable insights.

Qualifications

  • 3–5 years of data mining experience.
  • Proficient in PowerBI, Excel and SQL.
  • Experience in organizing information into comprehensible structures.

Responsibilities

  • Develop reporting and analysis tools to support Leaders and Teams to sustain continuous improvement.
  • Interpret data, analyze results using statistical techniques and provide ongoing reports.
  • Acquire data from primary or secondary data sources and maintain databases/data systems.
  • Locate and define new process improvement opportunities.

Skills

Data mining
Analytical skills
Stakeholder comms
Problem solving

Education

BS in Mathematics/Statistics/Data Analytics/CS

Tools

PowerBI
PowerApps
SQL
Access
Cloudera
Alteryx
Python
Excel
Lean Six Sigma

Job description

Company Description

AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership.


Job Description

Support the deployment & sustainment of initiatives with data collection, analysis, summary, recommendations monitoring and reporting that will help to drive repeatable problem solving and leadership routines


Job Responsibilities:


  • Develop reporting and analysis tools to support Leaders and Teams to sustain continuous improvement in their area including their own management practices and routines.

  • Possess good understanding of analytics tools (PowerBI, Alteryx, Excel, PowerPoint etc.) to drive. historical data trends, volume analysis, visual representations of the KPIs.

  • Interpret data, analyze results using statistical techniques and provide ongoing reports Help in the Development and implementation of databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.

  • Acquire data from primary or secondary data sources and maintain databases/data systems.

  • Locate and define new process improvement opportunities.


Qualifications


  • 3-5 years of experience using data mining to extract information from data sets and identify correlations and patterns

  • PowerBI, PowerApps, Database Management (SQL, Access, Cloudera), Alteryx, Python or equivalent Analytics Program, Microsoft excel, Lean Six Sigma

  • Experience in organizing and transforming information into comprehensible structures

  • Ability to leverage data to predict trends in the customer base and the consumer population as a whole

  • Technical expertise regarding data models, database design development and data mining

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

  • Adept at queries, report writing and presenting findings

  • Comfortable using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs

  • Prepare reports and present to managementIdentify and recommend new ways to add efficiency by streamlining business processes

  • Monitor data quality and remove corrupt data

  • Communicate with stakeholders to understand data content and business requirements


Additional Information


  • BS in Mathematics, Statistics, Data Analytics, Computer Science, or equivalent

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