Sr. Financial Data Analyst

2 weeks ago

Irving, United States KPG99 INC Full time

Sr. Financial Data Analyst

USC/GC

This is a contract to hire opportunity - (USC/GC ONLY)

Onsite in Irving Texas near O'Connor Blv


DETAILS:

  • Please advise candidates there is a 45 min personality assessment that must be taken.
  • Non-negotiable – Must be On-site 5 days weekly (not a hybrid role)
  • Must Have: Senior level (8+ years analyst experience).
  • Mode: Teams interview with data team. Teams interview with Data Director & Final interview with CFO

Description:


As a member of the Data and Analytics team, the Sr. Financial Data Analyst role will contribute to the success in both the daily operations and long-term strategy of the organization’s data assets. The optimal candidate brings a business-centric mindset to data analysis efforts and has a track record of being a growth enabler.


Job Responsibilities:


  • Performing analysis to assess the quality and meaning of data.
  • Filter Data by reviewing reports and performance indicators to identify and correct code problems.
  • Identifying, Analyzing, and Interpreting patterns and trends in data sets could be helpful for the diagnosis and correction.
  • Develop data quality monitoring practice scope and capabilities.
  • Assist in the design of processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
  • Building Power BI reports for the management stating trends, patterns, and predictions using relevant data.
  • Collaborate with data engineers and business teams to improve data models that feed Power BI and increase data accessibility.
  • Works in a team-based setting to provide financial and operational value-add reports for utilization by executive and field management.
  • Actively seek out and generate new and innovative ways to retrieve, visualize and analyze data across a variety of operational, geological, and financial data sources
  • Working with data engineers and various business users to identify process improvement opportunities and propose system modifications.
  • Lead business requirement sessions with stakeholders eliciting clear and comprehensive requirements for system features and enhancements.
  • Take lead in Data Cataloging, Lineage, Security and Controls for entire data marketplace.
  • Develop and execute SQL scripts to test data conversions and perform ad-hoc analysis.
  • Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
  • Gain Domain Knowledge and conduct end user training.
  • Removing corrupted data and fixing coding errors and related problems
  • Supports Data and Analytics leadership’s work collaborating across the organization to define key performance indicators (KPI’s) and build dashboards that support ongoing reporting and analysis of business results.
  • Identify, address and document areas for process improvement and automation in our data flows.

Qualifications/Skills:

  • Mastery in converting raw data into valuable datasets.
  • Process oriented with great documentation skills.
  • Financial industry exposure would be nice to have since this would really help when talking to business stakeholders.
  • Knowledge of GAAP or any financial/accounting projects most needed

Education/Experience:

  • Bachelor degree or higher
  • 8+ years of data analysis writing complex queries.
  • 4+ years of data management experience
  • 3+ years as a Data Analyst or Business Data Analyst supporting finance or accounting projects.
  • Advanced proficiency in PowerBI, including building and maintaining dashboards and SQL
  • Experience writing and managing stored procedures, views, and functions, that rely heavily on analytics functions.
  • Advanced proficiency with MS Excel (Macros, VBA, V-Lookup, Pivot Tables, etc.).

Nice to have:

  • Experience in the automotive and Insurance sectors is a plus.
  • Cloud certification on any platform is a plus.
  • Experience with Data Cataloging, Lineage, KPI's, building Data artifacts such as Data Dictionary, Standards, and Definitions a plus.

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