BI Analyst at Activate Talent

, , Philippines -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Visualization, Tableau, Power BI, Looker Studio, Google Analytics, Adobe Analytics, Microsoft Excel, Data Analysis, ETL Processes, Cloud-Based Tools, Retail Business Models, Analytical Problem-Solving, Communication Skills, Data Quality

Industry

Staffing and Recruiting

Description

Client Overview Our client is one of the fastest-growing lifestyle and apparel brands in the U.S., built on a foundation of mental wellness, community, and thoughtful design. With ambitious plans to scale beyond the $1B mark, the company is investing heavily in a modern data infrastructure that empowers smarter, faster, and more human-centered decision-making across the organization. They operate in a dynamic e-commerce environment and rely on data to drive growth, optimize customer experiences, and accelerate operational performance. Role Overview The Business Intelligence Analyst will play an essential role in shaping how the company leverages data to guide strategic and operational decisions across marketing, product, e-commerce, customer experience, finance, and merchandising. This role sits at the intersection of data, engineering, and business strategy. The ideal candidate is highly analytical, curious, commercially minded, and capable of transforming raw, multi-source data into clear insights and actionable recommendations. You will be responsible for ensuring data accuracy, building scalable reporting systems, and surfacing insights that drive measurable business impact. ResponsibilitiesReporting & Data Infrastructure Query, clean, and manipulate large datasets using SQL, Python, or related tools to ensure accuracy and consistency. Build, maintain, and optimize dashboards and reports using BI platforms such as Looker Studio, Power BI, or Tableau. Consolidate and unify data from multiple sources including e-commerce platforms, paid media, analytics tools, and customer behavior systems. Improve reporting efficiency, data refresh speeds, and automation workflows. Partner with engineering to validate pipelines, maintain data quality across ETL processes, and ensure reliable performance (BigQuery, Stitch, etc.). Document data flows and support the evolution of the company’s analytics architecture. Analysis & Strategic Insights Collaborate with Marketing, Ecommerce, Finance, CX, and Operations to understand their data needs and business goals. Translate complex data into clear narratives and actionable recommendations for process improvements, product decisions, and strategic initiatives. Define and monitor key performance indicators (KPIs) across customer acquisition, conversion, retention, and profitability. Identify trends, anomalies, and growth opportunities through ongoing performance analysis. Provide recurring insights to support growth, retention, and long-term lifetime value (LTV) strategies. Contribute to cross-functional initiatives by delivering data-driven perspectives and decision frameworks. Required Qualifications & Skills Bachelor’s degree in Business Analytics, Data Science, Statistics, Computer Science, or a related field. Strong proficiency in SQL for data extraction, transformation, and validation. Hands-on experience with BI and data visualization tools (e.g., Tableau, Power BI, Looker Studio). Advanced skills in Microsoft Excel or Google Sheets. Experience working with digital analytics tools such as Google Analytics (GA4) or Adobe Analytics. Excellent analytical problem-solving skills and a high attention to detail. Ability to communicate technical findings clearly to both technical and non-technical audiences. Understanding of retail or e-commerce business models, KPIs, and workflows. Preferred Qualifications 4+ years of experience in a Business Intelligence, Data Analyst, or Business Analyst role, ideally in a fast-paced e-commerce or omnichannel environment. Experience with paid media analytics, attribution platforms, and marketing measurement tools. Familiarity with data warehousing concepts, ETL processes, and cloud-based data tools (BigQuery, Stitch, Snowflake, etc.). Experience with programming languages for analytics such as Python or R. Experience designing automated reporting infrastructures and scalable analytics systems.

Responsibilities

The Business Intelligence Analyst will shape how the company leverages data to guide strategic and operational decisions across various departments. Responsibilities include querying and manipulating large datasets, building and optimizing dashboards, and providing actionable insights to drive business impact.