Job Description

Infinit-O is the trusted, customer-centric, and sustainable leader in Business Process Optimization. We empower finance and healthcare organizations to thrive in a digital-first world by combining specialized industry expertise and innovative technology for 20 years.

We navigate complex industry landscapes to drive transformative outcomes, helping businesses streamline operations, enhance customer experience, and achieve sustainable growth backed by a world-class Net Promoter Score of 75. Our approach combines operational efficiency with a human-centered ethos, ensuring sustainable value creation for our clients and team members.

As a Certified B Corporation, Infinit-O is committed to the highest standards of social and environmental performance, accountability, and transparency. We embed these values into every aspect of our operations—aligning business success with a positive impact on our clients, people, and communities.

Our commitment to Diversity, Equity, and Inclusion (DEI) is integral to our mission. We believe that building inclusive, equitable teams is not only the right thing to do—it is also essential for driving innovation and better business outcomes. We actively promote equal opportunity through inclusive hiring practices, continuous learning programs, and regular equity assessments to ensure a fair and empowering workplace for all.

Role Overview

The Process Transformation – Data Analyst is responsible for collecting, analyzing, and translating complex business and operational data into actionable insights that drive process improvement, performance management, and informed decision-making. This role focuses on structured data analysis, reporting, and visualization, leveraging modern data platforms and BI tools to improve transparency, accuracy, and operational efficiency across the organization.

Key Responsibilities

Collect, analyze, and document business and operational requirements related to reporting, analytics, and performance measurement.
Design and maintain scalable data models and queries to support recurring and ad-hoc analysis.
Perform extensive data preparation, relational data analysis, and trend identification using structured datasets (e.g., SQL-based sources).
Develop, enhance, and maintain dashboards and visualizations (e.g., Tableau, Power BI) to communicate insights to internal and external stakeholders.
Review and validate data sources, queries, and reporting logic to ensure accuracy, completeness, and data integrity.
Identify operational issues, data inconsistencies, and performance gaps; proactively escalate insights and recommendations to management.
Participate in problem resolution efforts, including root cause analysis and validation of data-driven solutions.
Support monthly operational reporting, KPIs, and executive-level performance metrics.
Collaborate with cross-functional teams to translate business questions into analytical solutions.
Apply strong data governance, documentation, and quality control standards when handling sensitive or confidential information.
Perform other ad hoc analytical or reporting tasks aligned with the Process Transformation function, as assigned.

Requirements

Required Qualifications:

Bachelor’s degree in Computer Science, Economics, Mathematics, Statistics, Business Administration, or a related field.
Strong analytical and problem-solving skills with demonstrated ability to translate data into clear business insights.
Advanced proficiency in SQL, including complex queries, joins, aggregations, and performance optimization.
Experience working with cloud-based data platforms such as Snowflake or similar data warehouses.
Experience developing dashboards and data visualizations using Tableau, Power BI, or similar BI tools.
Advanced proficiency in Microsoft Excel (Power User level), including Pivot Tables, advanced formulas, and data modeling.
Strong data visualization and presentation skills, including the ability to clearly summarize insights for executive audiences.
Excellent written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.
Demonstrated dependability and ability to maintain strict confidentiality.

Preferred Qualifications

2+ years of experience in data analytics, business intelligence, reporting, or a related role.
Experience with data modeling, ETL concepts, or analytics engineering practices.
Familiarity with data governance, data quality frameworks, and metadata documentation.
Exposure to Python or R for analytical tasks (nice to have).
Experience supporting operational, financial, or marketplace-style datasets.

Key Competencies