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5 дней назад

Data Integration Analyst (Finance)

70 000 - 80 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Integration Analyst (Finance): Building and maintaining Python, SQL Server, and Snowflake ETL processes, data warehouses, dashboards, and analyses for financial and reinsurance decision-making with an accent on data validation, finance data structures, and reporting. Focus on designing scalable data models, solving data integrity issues, and translating complex datasets into actionable insights for finance and business stakeholders.

Location: Lincoln, Nebraska, United States; hybrid schedule with in-office presence three days per week. Candidates within 30 miles of an office location can work remotely part of the week.

Annual compensation: $70,000–$80,000, depending on experience.

Company

hirify.global is a diversified services company operating across student loans, professional services, consumer lending, payments processing, renewable energy, and K–12 and higher education.

What you will do

  • Develop and maintain Python and Snowflake processes to transform and validate data from multiple sources.
  • Build, structure, and maintain data warehouses for reporting and analytics.
  • Design dashboards and analyses that support strategic financial insights and decision-making.
  • Work with business leadership to define requirements and become an expert in finance data structures and needs.
  • Collaborate with finance and accounting teams to identify data needs and resolve data-related issues.
  • Provide support for SQL Server and Snowflake processes.

Requirements

  • 3–5 years of experience in ETL processes or a related field, including 1–2 years of experience in data analysis and reporting.
  • Proficiency in extracting, transforming, and loading data from flat files, Excel, and other sources into data warehouses.
  • Strong understanding of financial concepts and finance data structures.
  • Ability to design and structure data models for reporting and analysis, with attention to performance and scalability.
  • Experience building dynamic dashboards and reports with Power BI, Tableau, or similar tools.
  • Strong data analysis, problem-solving, and data integrity skills.
  • Advanced SQL knowledge and Python proficiency for automating data workflows.
  • Ability to collaborate cross-functionally with business and technical teams.
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field is preferred.
  • Must already be authorized to work in the United States without current or future visa sponsorship.

Culture & Benefits

  • Hybrid work environment supporting flexibility and work-life integration.
  • Medical, dental, vision, HSA, and FSA benefits.
  • Earned time off, life insurance, disability coverage, and employee assistance program.
  • 401(k), student loan repayment, employee stock purchase program, tuition reimbursement, and performance-based incentive pay.
  • Wellness program and a welcoming, respectful, equal-opportunity workplace.

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