DATA ANALYST I

Formosa Plastics•Livingston, NJ

7d•$78,345 - $99,012

About The Position

Serve as the division’s Data Analyst, translating internal business data and external market data into reliable analytics, Power BI reporting, and internal application features used by management and cross-functional stakeholders. The role interprets complex data from multiple sources, evaluates alternatives, and recommends solutions to improve reporting accuracy, operational efficiency, and business insight across Sales, Marketing, and Technical Service. The analyst independently owns analytics and reporting deliverables end-to-end, handles complex data and reporting work, resolves non-routine data and integration problems with limited approval, and provides recommendations management uses for reporting and process decisions. Application development is limited to building and maintaining pages and features within the division’s existing application environment and established stack.

Requirements

Demonstrated experience independently designing and maintaining Power BI data models and reports used by business stakeholders for decision-making.
Experience building application pages and features and data integrations within an existing application environment involving SQL databases, existing REST APIs, and multiple data sources, with moderate supervision.
Track record of investigating and resolving non-routine data-quality, reconciliation, or integration issues and recommending corrective actions.
Ability to independently analyze business requirements, evaluate alternative approaches, and determine an appropriate technical solution with limited supervision.
Advanced proficiency in SQL and Power BI, including data modeling, DAX, and Power Query.
Working proficiency in React and TypeScript sufficient to build pages and features within an existing application and consume existing REST APIs.
Ability to interpret complex, multi-source data, identify trends, variances, and root causes, and make recommendations to management.
Experience building ETL/data-integration pipelines across enterprise sources such as Azure SQL, spreadsheets, and other systems, and resolving non-routine data-quality and reconciliation issues.
Experience applying AI tools and workflow-automation solutions, including AI agents and integrations with CRM, ERP, databases, and APIs, to improve reporting and business processes.
Strong written and verbal communication skills and ability to present analysis and recommendations to management and cross-functional stakeholders.
Bachelor’s degree in Computer Science, Information Science, Data Analytics, Mathematics, Statistics, or a related field, or an equivalent combination of education and relevant analytics experience.

Nice To Haves

Familiarity with external market and trade-data sources such as Plastics News and Datamyne, and the ability to acquire, integrate, and report on them in Power BI for market and competitive analysis.

Responsibilities

Design and maintain the division’s Power BI data models and reporting layer, including data model structure, production DAX logic, and validation of reported figures.
Develop and maintain Power BI reporting on external market and trade data, integrating sources such as Plastics News and Datamyne and interpreting pricing, import/export, and market trends.
Maintain the integrity and reliability of ETL and data-integration pipelines consolidating data from Azure SQL, spreadsheets, and external market-data feeds; investigate and resolve non-routine data-quality and reconciliation issues.
Own analytics and reporting deliverables from requirements analysis through development, validation, and stakeholder delivery, exercising discretion over scope, approach, prioritization, timelines, and methods.
Recommend reporting design direction and delivery priorities, evaluating alternatives and advising management and business partners on analytics and reporting solutions.
Build and maintain internal application pages and features within the existing application environment, using a React/TypeScript front end that consumes existing REST APIs.
Follow established application patterns, standards, and code-review processes; test changes, apply feedback, and work with senior developers on non-routine design decisions.