Data Analyst

Tech Aalto Pte Ltd; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

Tech Aalto Pte Ltd in Singapore is seeking a Data Analyst to collect, analyze and interpret data to support decision-making and provide insights across the organization.

The role collaborates with Tech Marketing Engineer to drive data-driven decisions, optimize processes, and reveal actionable patterns, trends and anomalies using statistical methods and BI tools such as Power BI or Tableau.

Qualifications

• Graduate degree or commensurate work experience in a related field.
• ~2 years of relevant data analytics or related experience.
• Experience with data collection, validation and insight generation.

Responsibilities

• Collect, analyze and interpret data to support decision-making.
• Provide insights to drive improvements and customer satisfaction.
• Create data-driven visualizations and KPI dashboards.
• Collaborate with Tech Marketing Engineer to optimize processes.
• Apply descriptive and inferential statistics to datasets.

Skills

Statistical analysis

Data visualization

Problem solving

Data interpretation

Descriptive analytics

Forecasting

Education

Graduate degree in Mathematics, Statistics, Economics, Computer Science, or related discipline

Tools

SQL

Python

R

SAS

Power BI

Tableau

Job description

Role :Data Analyst

Description - This role is responsible for collecting, analyzing and interpreting, data to support decision-making and provide insights to the organization. It also supports Tech Marketing Engineer to make data-driven decisions, optimize processes, and achieve their strategic objectives. The role applies statistical and analytical methods to exploredata, identify trends, patterns, and anomalies, and extract actionable insights.

Requirement:

• In accordance with plan, performs/executes data collection and analysis procedures and data insight visualizations for assigned projects.
• Collects, records, and analyzes data using established protocols and processes; communicates findings to TME for review and feedback.
• Generate actionable insights through holistic and detailed analysis of such as Star Rating and NPS, calls and returns, to drive improvements and customer satisfaction.
• Utilizes advanced analytical techniques to extract, clean, and analyze complex data sets from various sources.
• Works independently on moderate scope problems, applying professional expertise, exercising judgment, and resolving various issues by following company policies and procedures.

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
• ~ 2 years of relevant work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.

Technical skills

• Programming and querying:SQL, Python, R, or SAS
• Business intelligence:Power BI, Tableau, or equivalent tools
• Data processing:ETL, data integration, data cleansing, and data validation
• Data management:Data modeling, data warehousing, database management, and data governance
• Analytics:Descriptive and inferential statistics, trend analysis, segmentation, forecasting, and anomaly detection
• Reporting:KPI development, dashboard design, and executive-level reporting

Confidentiality is assured, and only shortlisted candidates will benotified for interviews.