Senior Business Intelligence Analyst(SQL/PowerBI/Tableau)

SM Retail Inc.; Pasay; On-site; PHP 800,000 - 1,100,000; Full time

Job summary

SM Retail Inc. in Metro Manila seeks a Senior Business Intelligence Analyst to empower business decisions by turning data into actionable insights.

You will design, create, execute, and monitor loyalty and digital marketing campaigns and strategies. You will analyze large data sets with SQL, R, Python and BI tools (Tableau, Power BI, QlikView), collaborate with Marketing and Customer Loyalty teams, and translate results into clear, data-driven recommendations for executives.

Qualifications

• Bachelor’s degree in a quantitative discipline.
• Experience with BI tools and SQL-based data analysis.
• Ability to translate data into actionable insights for non-technical audiences.

Responsibilities

• Analyze large data sets to understand customer behavior and loyalty marketing opportunities.
• Collaborate with business, marketing, and loyalty teams to develop campaigns.
• Evaluate campaigns and develop data-driven solutions and algorithms.
• Provide feedback to data warehouse team to improve data quality and completeness.

Skills

SQL

R

Python

Tableau

Power BI

QlikView

Data analysis

Education

Bachelor’s degree in quantitative discipline

Tools

SQL Server

MySQL

Oracle

AWS

Azure

Job description

Senior Business Intelligence Analyst is responsible for enabling Business Users to make better business decisions, by transforming data into streams of actionable insights, and use these insights to design, create, execute, and monitor Loyalty marketing digital marketing campaigns and strategies.

Responsibilities:

• Analyze large data sets, using data analytic tools, to understand customer behavior, and identify opportunities for loyalty marketing campaigns.


• Work in teams composed of Business, Marketing, and Customer Loyalty units/representatives, to collaboratively develop innovative and effective marketing campaigns.


• Evaluate and interpret results of marketing Campaigns Research and develop data driven solutions, and appropriate algorithms as may be identified by the Business Units.


• Provide feedback to Data Warehouse team, on the use of the data (Data quality, completeness, additional data requirements) to enable Data Warehouse team to improve Data Warehouse.

Qualifications:

• A bachelor’s degree in quantitative discipline: statistics, operations research, mathematics, economics, engineering is pref


• erred.Knowledge of database platforms (MS SQL Server, MySQL, Oracle, Amazon Web Services, MS Azure, etc.) preferred


• Experience with the use of business intelligence tools like SQL, R and/or Python, and presentation tools such as Tableau, Qlikview, or MS PowerBI.


• Passionate about using data and analysis to make things happen. Ability to translate data analysis to actionable insights


• Ability to work in teams, and able to explain complex technical material to non-technical or executive audiences.