Business Intelligence Analyst

Job Description

Work Location: BGC, Taguig

Work set-up: On-site | Night shift 10:00 PM - 7:00 AM

Salary Offer: Php 67,000 + 3,000 NTA

Non-negotiable Skills:

Advanced SQL, skilled in Power BI

Attention to detail, knows how to interpret data

Job Qualifications:

1. year degree (Economics, Statistics, Mathematics, Computer Science, MIS or similar focus) and/or equivalent combination of education or work experience.
2. 2 years of experience in eCommerce, operations, fulfillment, finance, and/or analytics.

Knowledge and experience with data query and extraction technologies (e.g. SQL, Teradata, Snowflake)

Knowledge and experience with data visualization tools (e.g. Power BI, Tableau, Looker, Domo)

Main responsibilities

Develop and maintain scalable, automated dashboards and reports that benchmark and track progress against key operational performance goals and initiatives.

Work with management and/or internal stakeholders to define business requirements and analytical needs and execute against them.

Develop a deep understanding of existing eCommerce performance, customer, and productivity metrics, and develop new KPI's, metrics, and measures to gauge eCommerce performance.

Own regular and ad-hoc analysis on operational performance and projects to continuously improve and scale Albertson's eCommerce operations.

Understand and communicate root causes of impacts to performance and attainment of business objectives.

Develop actionable insights and areas of opportunity for eCommerce operational performance, make recommendations to operating teams, and present findings to business stakeholders.

Conduct data mining, regression analysis and other quantitative analysis using industry standard statistical and business analytics techniques.

Perform data modeling using/modifying existing models.

Work to define and structure eCommerce customer and operational data and ensure reliability and integrity of data sources.

Partner across departments or business groups to obtain information, align priorities, and obtain buy-in from stakeholders and functional owners.

Flag opportunities and challenges using data in the current processes and metrics to ensure proactive response and help business course correct or seize opportunities.

Partner with store operations on improving in-store customer experience measurement and reporting with the goal of driving highly actionable results

Partner with Analytics and Data Science teams to build dashboards that are more predictive of future outcomes to get ahead of the opportunities and/or issues

Create automatic alerts to push relevant opportunities for the user to address (versus the user having to drill down into dashboards to determine opportunities)