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Business Intelligence Analyst with Audit Expertise

2 months ago


Iselin, New Jersey, United States TekIntegral Inc Full time
Job Description

Job Overview

TekIntegral Inc is seeking a highly skilled Technical Business Data Analyst to join our team. As a key member of our data management team, you will play a crucial role in ensuring the accuracy and integrity of our data systems and providing key insights to support our audit and compliance activities.

Key Responsibilities

  • Data Curing and Review

Lead the data curing and review process to prepare data for audit and attestation, ensuring accuracy, completeness, and adherence to regulatory standards.

  • Data Analysis and Reporting

Develop and maintain SQL queries and Python scripts for data extraction, transformation, and loading (ETL) processes to support data analysis and reporting.

  • Audit Support

Collaborate with audit teams to understand data requirements for audits and ensure that the data provided meets audit standards.

  • Data Quality Management

Perform data profiling, cleansing, and enrichment to identify and correct data quality issues.

  • Data Governance

Design and implement robust data quality controls and validation checks within the data lifecycle.

  • Data Documentation

Document data processes, create data dictionaries, and maintain data lineage to support transparency and traceability.

  • Technical Expertise

Use advanced SQL and Python skills to automate data processes and create efficiencies in data handling and reporting.

  • Communication

Translate complex data findings into clear, concise reports and visualizations for stakeholders at various levels.

  • Collaboration

Work closely with IT and business teams to align data management practices with business goals and compliance requirements.

Requirements

  • Should have 10+ years of experience as a Business Data Analyst, with a focus on data quality, audit, and attestation processes.
  • Strong proficiency in SQL for complex data querying and report generation.
  • Experience with Python scripting for data analysis and process automation.
  • In-depth understanding of data governance, data quality management, and data curing methodologies.
  • Proven track record of working with large datasets and complex data structures.
  • Excellent analytical, problem-solving, and project management skills.
  • Exceptional communication and presentation abilities, with the capacity to explain technical concepts to non-technical audiences.
  • Familiarity with regulatory compliance and data protection standards in the financial industry.

Preferred Qualifications

  • Advanced SQL certification and Python programming certification.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Knowledge of financial services and the specific data management challenges in this sector.
  • Prior experience with data warehousing solutions and ETL tools.