Senior Business Intelligence Analyst

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

• 21 Google Cloud Partner of the Year awards in the past 10 years
• 3 AWS AI/ML Partner of the Year awards
• 3 NVIDIA Partner of the Year awards
• 3 Snowflake Partner of the Year awards
• Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Role: Senior Business Intelligence Analyst

Experience Level: 4+ years

Work Location: Remote (USA)

Employment type: Full-time

What you will do:

The ideal candidate will have a strong background in data analysis, reporting, and business intelligence. As a Business Intelligence Analyst, you will be responsible for transforming complex data into meaningful insights and actionable recommendations. You will leverage tools like Tableau, Power BI, and SQL to support data-driven decision-making and improve business performance across the organization.

Responsibilities:Data Analysis and Interpretation:

• Collaborate with cross-functional teams to understand business objectives and define data requirements.
• Collect, clean, and transform data from multiple sources to ensure accuracy and integrity.
• Perform exploratory data analysis to identify trends, patterns, and key business insights.
• Develop and maintain datasets and data models that support business reporting needs.

Business Intelligence & Visualization:

• Design and develop interactive dashboards and reports using BI tools such as Tableau or Power BI.
• Create intuitive visualizations (KPIs, charts, scorecards) to communicate business performance effectively.
• Ensure dashboards are optimized for performance, usability, and scalability.
• Standardize reporting metrics and definitions across the organization.

Reporting and Insights:

• Deliver recurring and ad hoc reports to stakeholders with clear insights and recommendations.
• Translate complex analytical findings into simple, actionable business insights.
• Support leadership with data-driven analysis for strategic planning and operational improvements.

Data Integration & Automation:

• Work with structured and semi-structured data sources (e.g., databases, APIs, JSON).
• Build and maintain ETL processes to automate data extraction, transformation, and loading.
• Develop scripts or workflows to streamline data preparation and reporting.

Data Governance & Quality:

• Ensure data accuracy, consistency, and reliability across reports and dashboards.
• Implement validation checks and data quality monitoring processes.
• Support data governance initiatives, including documentation and standardization of data definitions.

Stakeholder Collaboration:

• Partner with business teams to identify reporting needs and opportunities for improvement.
• Act as a bridge between technical teams and business users to ensure alignment.
• Present insights to stakeholders in a clear and compelling manner.

Continuous Improvement:

• Stay up to date with BI tools, data visualization best practices, and analytics trends.
• Identify opportunities to enhance reporting capabilities and improve decision-making processes.

Basic Qualifications (BQ):

• Bachelor’s degree in Business Analytics, Data Analytics, Computer Science, Statistics, or a related field.
• 3–7 years of experience in Business Intelligence, Data Analysis, or Reporting roles.
• Strong experience building dashboards and reports using Tableau, Power BI, or similar tools.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data modeling concepts and relational databases.
• Familiarity with Python or R for data analysis is a plus (not required).
• Experience working with APIs and data integration is preferred.
• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to present data to non-technical stakeholders.

Required Skills:

• Strong expertise in Tableau, Power BI, or similar BI tools.
• Advanced SQL skills for querying and transforming data.
• Data modeling and data warehousing knowledge (star schema, fact/dimension tables).
• Ability to create clear, impactful visualizations and dashboards.
• Strong business acumen and ability to translate data into insights.
• Experience with Excel (advanced functions, pivot tables) is a plus.
• Understanding of data governance and data quality practices.
• Basic knowledge of scripting (Python/R) is desirable.
• Strong attention to detail.

What is in for you:

• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
• Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
• Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
• Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.