Business Intelligence Analyst

About You:

We're looking for a Data Analyst/ Business Intelligence who is excited to work across the business, helping teams make smarter decisions through reliable reporting, deep analysis, and actionable insights.

If you thrive in fast-paced environments, enjoy solving business challenges with data, and want to shape how our company uses analytics, this is the role for you.

You're a curious, impact-driven analyst who doesn't just report on data—you dig deeper to find the story behind the numbers. You thrive working directly with teams to provide data-driven guidance that influences key business decisions. You have a strong ability to visualize data insights, build reporting, and understand how different metrics influence growth, engagement, and operational performance.

You are comfortable extracting and analyzing data using SQL and leveraging Excel, Python, or R to uncover insights and create compelling visualizations. You contribute to the design and evaluation of experiments and translate findings into actionable insights for non-technical stakeholders. You take ownership of your work, ensuring high-quality reporting and analysis that drive meaningful impact.

About the Role:

This role is part of our BI function and will work cross-functionally to support teams across the company with data-driven insights and reporting. You'll partner with teams to structure experiments, analyze conversion funnels, optimize user experience, and track performance while contributing to broader analytics initiatives that empower decision-making across the business.

• Perform deep-dive analyses to identify trends, uncover insights, and recommend courses of action that drive impact. Leveraging AI to accelerate workflows.
• Work closely with the Operations teams to develop reporting and analyze performance, quality, and engagement, surfacing insights that drive better decision-making.
• Design and analyze experiments, helping teams measure impact, rigorously interpret results, and avoid misleading conclusions.
• Ensure data accuracy and integrity, proactively identifying and resolving discrepancies in reporting and analysis.
• Develop dashboards and reports ensuring key metrics are consistently tracked and easily accessible for decision-making.
• Gather, clean, and manage data from multiple sources, including handling data ingestion from reports such as CSV uploads, SP, or different databases.
• Support analytics initiatives across the company, partnering with cross-functional teams where needed.
• Support operational analytics by ensuring key data is structured and accessible for forecasting and modeling.
• Identify automation opportunities to streamline analytics workflows and improve efficiency.
• Proactively spot trends, anomalies, and opportunities that others might miss.

Qualifications

• 2- 5+ years of experience in data analysis or a similar role.
• Proficiency in SQL for querying and analyzing structured data.
• Proficient in Power Platform (Powerapps, Automate, etc)
• Strong knowledge of basic statistical concepts (e.g., hypothesis testing, confidence intervals).
• Proficiency with Excel for analysis and visualization.
• Ability to translate business questions into structured reporting.
• Strong data visualization skills.
• Understanding data integrity, ensuring reports and dashboards are accurate and reliable.
• Familiar with modern BI tools (e.g., PowerBI, Looker, Tableau).
• Comfortable working with operational data to support business reporting.

Bonus Points for:

• Bachelor's or Master's in Mathematics, Economics, Statistics or related field.
• Experience in BPO, Transportation, Logistics.
• Familiarity with Python or R for analysis, visualization, and automation.
• Familiarity with Snowflake, Fabric, or modern data lake components.
• Experience developing client KPIs and suggesting success criteria.
• Expertise in applying advanced statistical concepts and methodologies in real-world business contexts.

Job Types: Full-time, Permanent

Benefits:

• Company events
• Health insurance
• Life insurance
• Opportunities for promotion
• Paid training
• Promotion to permanent employee

Application Question(s):

• Do you have at least 2-5 years experience in data analysis or a similar role?
• What is your salary expectations for this position?
• Are you willing to start ASAP?

Work Location: In person