I. What is the client’s business?

Our client is a tech-forward consumer products company that acquires and grows online brands across the pet, home & kitchen, beauty & personal care, and fitness, sports & outdoor categories.

II. Why did the client need a Data Analytics Associate?

As a business that operates across diverse product categories and utilizes multiple sales platforms—including Amazon, which alone demands intricate analytics—our client recognized the importance of leveraging data to gain a competitive edge.
With a rapidly expanding product portfolio and market presence, having disparate or untimely data could result in lost opportunities or ineffective strategies.

From optimizing product listings to identifying consumer buying trends, the company's leadership knew that actionable insights were crucial for sustained growth. 

III. How much is the hired candidate’s salary?

Andrew, the hired Data Analytics Associate, earns a monthly salary of $1,300 inclusive of standard Philippine employment benefits.

IV. What are the hired employee’s responsibilities?

Andrew's role in a company with seasoned leaders was pivotal in leveraging data to drive actionable insights across the organization's multifaceted product categories.

He took on these responsibilities:

• Database Development: Building databases using SQL, ensuring their stability and efficiency to support the fast-paced decision-making processes.

• Data Modeling in LookML: Creating derived tables, views, and defining dimensions and measures within Looker, a platform used for business intelligence.

• Backend Logic: Understanding specific business requirements and applying logic to create consolidated tables on the backend of Looker. This allows for more streamlined reporting and analytics.

• Data Quality Management: Maintaining the integrity of data by regularly reviewing and cleansing datasets, ensuring the company can rely on the accuracy of its data.

• Reporting Cadence: Assisting in establishing and maintaining an analytics and reporting data refresh cadence, so stakeholders are constantly working with the most current data.

By focusing on these critical areas, Andrew has been able to elevate our client's data analytics capabilities, enabling smarter business decisions. 

V. What was the hired candidate’s work background?

Before joining as a Data Analytics Associate, Andrew had amassed five years of experience in the field, notably as a Freelance Analytics Engineer specializing in SaaS and eCommerce.

Here are his career highlights:

• Pioneered using DBT (data build tool) for data testing and versioning, significantly reducing time spent on debugging and data quality checks.

• Managed comprehensive analytics projects from initial client consultations to final presentations of findings.

• Delivered regular and ad hoc reports to management and executive teams, tailoring presentations to the audience's expertise level.

• Collaborated with various data teams, from large corporations like Accenture to tech startups based in Singapore and the United States.

• Gained industry experience across financial services, e-commerce, and digital marketing, adding a multidimensional perspective to his analytics expertise.

Andrew's background reveals technical proficiency and a deep understanding of the data analytics pipeline. From data collection to actionable insights, this wealth of experience made him a perfect fit for his current role.