Data Analyst

We are seeking an experienced Data Analyst who will use data and analytics to improve operational and financial performance across the business. This role works closely with leaders from multiple departments to support planning, reporting, and decision-making in areas such as sales, production, finance, purchasing, and operations. The position plays a key role in developing and enhancing business reporting and planning tools, including Power BI, Microsoft Fabric and other similar systems.

Key Responsibilities of the Data Analyst: Create and maintain Power BI reports to track key business metrics and performance.

Analyze data to identify trends, risks, and actionable insights.

Build efficient data queries, notebooks, and pipelines using Microsoft Fabric to support reporting and planning tools.

Develop and support Anaplan models for planning and forecasting across sales, production, finance, purchasing, and operations.

Ensure planning accuracy by building controls and validations within Anaplan.

Design intuitive Power BI dashboards and Anaplan pages that are easy for business users to navigate and self-serve.

Support predictive and forward-looking analysis related to sales, operations, and efficiency.

Prioritize data requests and projects based on business impact.

Gain a strong understanding of business systems such as ERP, WMS, TMS, and other operational platforms.

Enable business users with accessible data and tools, reducing the need for ad-hoc data requests.

Do you have experience in Warehouse management system?, Strong experience analyzing complex datasets and translating business questions into actionable insights, Hands-on experience building Power BI reports, dashboards and deployment pipelines including use of DAX and Power Query

Advanced Excel experience including formulas, macros, pivot tables

Strong experience with SQL including queries, stored procedures, views, select, joins

Working knowledge of Microsoft Fabric including Lakehouse & Warehouse concepts, Dataflows, OneLake and Semantic Models

Experience with relational databases such as SQL Server, Azure SQL, Azure Synapse or similar platforms

Understanding of ETL Pipelines

Ability to communicate with non-technical stakeholders

Familiarity with KPI development, trend analysis, forecasting and variance analysis

Ability to understand business objectives, strategies, and directions and ability to develop and implement action plans accordingly

Comfortable working Onsite

Bonus Experience of the Data Analyst: Certifications such as Power BI PL-300, Microsoft Fabric Analytics Engineer Associate, or Microsoft Fabric Data Engineer Associate

Experience implementing Microsoft Fabric

Experience with Anaplan

Experience working within a manufacturing organization

Pulled from the full job description

• Health insurance
• Vision insurance
• Dental insurance
• Life insurance
• Unlimited paid time off
• Disability insurance