Tableau Data Analyst: Insights & AI/ML Pipeline

Hammerjack Pty Ltd; Philippines; On-site; PHP 350,000 - 550,000; Full time

Job summary

Hammerjack Pty Ltd is seeking a Data Analyst to support the Data Platforms and AI team by operationalizing data consolidated through Snowflake. You will help identify business opportunities, create meaningful reports, and develop AI/ML models to enhance the team's AI pipeline.

The role involves designing data models, turning raw data into business-ready insights, building dashboards, validating data quality, and collaborating with analysts, developers, and architects to deliver data outputs.

Qualifications

• At least 1 year of experience with data visualization tools such as Tableau or PowerBI.
• Working knowledge of data warehousing concepts and technologies, particularly Snowflake.
• Working knowledge of relational databases (e.g., MySQL, PostgreSQL, MSSQL) and familiarity with no-SQL databases (e.g., Couchbase).
• Working knowledge of cloud-based data services (e.g., AWS S3, Azure Blob Storage, Google Cloud Storage).

Responsibilities

• Designing data models to support analytical and operational needs.
• Interpreting raw or staged data into business-ready data.
• Creating dashboards that effectively translate business data into insights.
• Implementing data validation and quality checks across the data management pipeline.
• Collaborating with business analysts, developers, and business stakeholders to understand data requirements.

Tools

Tableau

PowerBI

Snowflake

MySQL

PostgreSQL

MSSQL

Couchbase

AWS S3

Azure Blob Storage

Google Cloud Storage

Apache Airflow

Talend

Informatica

Job description

Hammerjack Pty Ltd is seeking a Data Analyst to support the Data Platforms and AI team by operationalizing data consolidated through Snowflake. You will help identify business opportunities, create meaningful reports, and develop AI/ML models to enhance the team's AI pipeline.

The role involves designing data models, turning raw data into business-ready insights, building dashboards, validating data quality, and collaborating with analysts, developers, and architects to deliver data outputs.