Data Transformation Specialist

2 weeks ago


Plano, Texas, United States Convergenz Full time
Job Title: Data Transformation Specialist

About Us:

We are a cutting-edge technology company called Convergenz, committed to innovation and excellence. Our team is passionate about creating top-notch software solutions that transform businesses.

Salary Range:

$80,000 - $110,000 per year, depending on location and experience.

Job Description:

The ideal candidate will be responsible for designing, analyzing, implementing, and improving complex Excel-based and Python-based processes, data controls, and reconciliations. Strong quantitative, analytical, and problem-solving skills are essential, as well as excellent presentation, communication, and writing skills.

Responsibilities:

  • Gather and document detailed data transformation requirements.
  • Create and manage project deliverables.
  • Develop and maintain technical, process, and data-related documentation.
  • Support acceptance testing; create and execute test cases; analyze and reconcile complex test results using Excel and Python.
  • Enhance and automate validation and input preparation processes.
  • Maintain and track development features and stories in JIRA.
  • Troubleshoot, track, and resolve project issues, dependencies, and configuration changes.
  • Lead analysis, requirements gathering, and testing of financial reports using advanced Excel and custom Python code.
  • Perform complex data and report analysis involving financial, forecasting, and risk data.
  • Assess impacts of data source and product changes on systems and processes.
  • Create engaging and detailed user guides, specification documents, release notes, and testing results.

Qualifications:

  • Degree in accounting, quantitative finance, statistics, mathematics, economics, data analytics, or a related quantitative field preferred, with 1-3 years of relevant experience.
  • Proficiency in programming or data mining languages such as SQL, Python, or SAS.
  • Experience with large data sets and relational databases.
  • Strong quantitative, analytical, and problem-solving skills.
  • Excellent presentation, communication, and writing skills.
  • Ability to use SQL to query and display large data sets while optimizing workbook performance.
  • Proven experience writing SQL to query complex data structures and working with analytics.
  • Expertise in Python coding.
  • Strong knowledge of financial statements and general ledger/subledger data is highly preferred.
  • Ability to translate complex business requirements into technical specifications.
  • Advanced proficiency in Excel.
  • Exceptional attention to detail and accuracy.
  • Knowledge of application development following Agile methodology.
  • Experience with different databases and an understanding of data and financial reporting concepts.
  • Experience with implementing or modifying financial systems or applications, preferably related to accounting functions.
  • Strong data and financial analytical skills; quick understanding of complex financial concepts; mortgage industry experience preferred.


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