3 часа назад
Data Analyst (Manufacturing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (SQL/Power BI): Transforming data from ERP, CRM, and operational systems into dashboards, KPIs, and actionable business insights with an accent on data quality, visualization, and cross-functional requirements gathering. Focus on analyzing large datasets, supporting data migration and integration, and communicating recommendations across finance, operations, and supply chain.
Location: Remote within the United States; employment eligibility in the United States is required
Company
develops packaging and automation solutions and combines the scale of a growing global organization with an entrepreneurial culture.
What you will do
- Collect, clean, and analyze data from ERP, CRM, and operational systems to identify trends and actionable insights.
- Build and maintain dashboards, KPIs, reports, visualizations, and presentations for business users and leadership.
- Write SQL queries and use analytics tools to extract, transform, and analyze large datasets.
- Gather business requirements and collaborate with stakeholders across finance, operations, supply chain, and other departments.
- Support data migration, integration, quality, governance, and documentation initiatives.
- Apply current best practices in data analysis, visualization, and reporting.
Requirements
- Bachelor’s degree in a quantitative or analytical field, or equivalent experience.
- At least 2 years of experience in data analytics, business intelligence, or a related field.
- Proficiency in SQL and experience with relational databases such as SQL Server or PostgreSQL.
- Experience building dashboards and reports with Power BI, Tableau, or similar tools.
- Strong analytical, problem-solving, communication, and data-accuracy skills.
- Knowledge of data flows within ERP and CRM systems such as SAP, Oracle, SyteLine, or Salesforce in a manufacturing environment.
Nice to have
- Familiarity with Databricks or Delta Lake.
- Knowledge of data governance, data quality, and metadata documentation.
- Experience with Python or R for data analysis.
- Exposure to Agile environments and tools such as Jira, Confluence, or Git.
Culture & Benefits
- Open and communicative work environment that supports individual initiative.
- Growth opportunities within a growing organization.
- Medical and dental programs, life insurance, paid time off, and a retirement savings plan with company matching.
- Benefits eligibility begins on the first day of employment.
- Equal opportunity employer with reasonable accommodation available during hiring and employment.
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