Extraction Solutions Senior Associate, BDOADVANTAGE

BDO USA, LLP
Lake Worth Beach, FL, United States
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$90,000.0 - $120,000.0
Working hours
Regular working hours

Tech stack

Microsoft Excel Accounting Information Systems Data Analysis Microsoft Azure Big Data Data Validation Data Cleansing Information Engineering Data Integration Extract Transform Load (ETL) Data Mining Microsoft SQL Server
+15 more
SQL Azure Netsuite Oracle (Applications) Power BI Sage Accounting SAP (Applications) SQL Databases Tableau (Software) Azure Data Factory Data Lakes Information Technology Data Analytics Tools for Reporting Alteryx Databricks

Job description

As a member of the BDOADVANTAGE team, the Extraction Solutions Senior Associate is responsible for leading complex data extraction and transformation efforts across multiple client ERP systems. This role supports the design, development, and implementation of standardized ETL workflows, tools, and methodologies used by audit professionals. The position requires a strong technical foundation, the ability to solve complex data challenges, and a focus on improving data quality, consistency, and scalability., * Works with engagement teams and clients to implement and support data extraction tools, workflows, and solutions across a variety of ERP systems

  • Manage the process of identifying and extracting client data based on analytic requirements using data analysis, research, and technical extraction skills.
  • Independently engage with client personnel and engagement teams to understand ERP-specific business rules and make extraction design decisions to apply those rules in the extraction.
  • Data preparation and routing into BDO analytics platforms
  • Identifies, triages, and resolves support requests
  • Establishes and maintains customer satisfaction methods and information

Requirements

The successful candidate will communicate effectively with a broad audience, demonstrate strong organizational and problem-solving skills, and contribute to continuous improvement of extraction processes and solutions., * Bachelor’s degree, required; focus in Accounting, Accounting Information Systems, Data Analytics, Computer Science, preferred, * Three (3) or more years of experience with data extraction, data engineering, ETL development, or analytic development, required

  • Audit, assurance, or accounting client service experience, preferred
  • Experience working with large-scale financial or transactional datasets, preferred
  • Experience partnering with cross-functional stakeholders (e.g., audit teams, clients, technical teams) to define data requirements and deliver solutions, preferred

Software:

  • One (1) or more years of experience with any of the following ETL resources, required
  • Power BI, Fabric, or Alteryx
  • Azure Data Factory or Databricks
  • Azure SQL Database
  • Azure Storage Accounts / Data Lakes
  • Experience integrating data from ERP systems such as SAP, Oracle, Sage Intacct, NetSuite, or QBO using analytics tools like Power BI, Alteryx, and Tableau, preferred
  • Working knowledge of various ERP systems and accounting packages, preferred
  • Alteryx, MS Excel and Power BI data cleansing techniques, preferred
  • Ability to write SQL queries and manage large data sets within SQL Server, preferred

Other Knowledge, Skills & Abilities:

  • Ability to adapt, self-motivate, and learn new tools
  • Ability to communicate effectively with a broad audience ranging from technical to non-technical
  • Strong analytical and problem-solving skills
  • Excellent interpersonal and customer relationship skills, required
  • Ability to manage multiple priorities and meet deadlines
  • High level of curiosity and eagerness to learn
  • Ability to document processes and demonstrate technical solutions to end users
  • Ability to perform data quality checks and identify anomalies in datasets
  • Ability to interact effectively with people at all organizational levels
  • Strong attention to detail and commitment to accuracy
  • Good understanding of testing and quality assurance for data extraction processes

Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.

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