DATA ANALYST I

Formosa Plastics•Livingston, NJ

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 position 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. Application development is limited to building and maintaining pages and features within the division’s existing application environment and established stack. The analyst independently owns analytics and reporting deliverables from requirements analysis through build, validation, and stakeholder delivery. The role handles complex data and reporting work, resolves non-routine data and integration problems with limited approval, and provides recommendations that management relies on for reporting and process decisions. Application development work is performed with moderate supervision, following established patterns and code-review practices and seeking guidance from more senior developers on non-routine design decisions.

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 using 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 appropriate technical solutions 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.
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 ability to acquire, integrate, and report on them in Power BI for market and competitive analysis.
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.

Responsibilities

Own the design, accuracy, and integrity of the division’s Power BI data models and reporting layer, including determining model structure, authoring production DAX logic, and validating reported figures.
Develop and maintain Power BI reporting on external market and trade data from providers such as Plastics News and Datamyne; interpret pricing, import/export, and market trends and present insights for commercial and business-development decisions.
Own the integrity and reliability of ETL and data-integration pipelines that consolidate data from internal and external sources, including Azure SQL, spreadsheets, and external market-data feeds.
Investigate and resolve non-routine data-quality, reconciliation, and integration issues that are not governed by a standard procedure.
Own analytics and reporting deliverables end-to-end, from requirements analysis through development, validation, and stakeholder delivery; exercise discretion over scope, approach, and prioritization.
Set timelines and methods for standard deliverables and raise resourcing conflicts or scope changes affecting other functions to the Manager.
Recommend reporting design direction and delivery priorities in planning discussions, evaluating alternatives and advising management and business partners.
Build and maintain internal application pages and features within the division’s existing React/TypeScript application environment, consuming existing REST APIs.
Follow established application patterns, standards, and code-review processes; test changes and apply feedback, working with more senior developers on non-routine design decisions.
Analyze complex, multi-source data to identify trends, variances, and root causes and communicate recommendations to management and cross-functional stakeholders.
Apply AI tools and workflow-automation solutions, including AI agents and integrations with CRM, ERP, databases, and APIs, to improve reporting and business processes.