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Manager, Ignition Data Engineer (Tax)

  • NEW YORK, NY, United States

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Job details

Posting language
English
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Original job description

At KPMG, you can become an integral part of a dynamic team at one of the worlds top tax firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMGs extensive network of specialists; enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative tax solutions. Join a diverse team helping high-profile clients understand, analyze, and respond to complex business opportunities and challenges. Develop your career through a range of multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it is an investment in our people, our future, and what we stand for as a firm.KPMG is currently seeking a Manager, Ignition to join our Tax Ignition practice. Responsibilities: * Work on a wide variety of technology applications based on client and tax engagement team's needs using industry and subject matter experts throughout KPMG * Direct the design and development of tools and solutions working with data scientists, data integration teams and visualization experts to deliver analysis that fits the needs * Lead the preparation and presentation of materials including proposals, findings, and reports * Provide guidance, supervision, and training to staff members * Perform hands on tasks, including with data acquisition from disparate systems, data transformation and analysis and communicate findings via visualization toolsQualifications: * Minimum five years of recent experience in leading and delivering data integration or data analysis projects * Bachelor's degree from an accredited college/university or foreign equivalent in engineering, computer science, information systems, management information systems or related fields; preferrable a Master's degree from an accredited college or university; licensed CPA, EA, JD/LLM or one of the following advanced degrees: MBA, PhD, MS in computer science, in addition to others on KPMG's approved credential listing; any individual who does not possess at least one of the approved designations/credentials when their employment commences, has one year from their date of hire to obtain at least one of the approved designations/credentials; should you like to see the complete list of currently approved designations/credentials for the hiring practice/service line, your recruiter can provide you with that list * Experience or strong knowledge of dashboarding - strategy, design, creation, and maintenance * Prior experience or strong knowledge of database technologies including SQL Server; must have SQL data/Excel manipulation and querying skills * Knowledge of any of the following is a plus: machine learning and/or big data tools such as Spark, Hive, and Pig; enterprise resource planning (ERP) systems; statistical programming knowledge in one or more languages such as R, Python, and SASKPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG LLP is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Depending on job classification, standard work hours, and years of service, KPMG LLP provides a Total Rewards Package that includes 401(k) and medical and may include dental, vision, disability and life insurance, personal well-being and Personal Time Off. Additionally, each year KPMG publishes a calend

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Skills

  • Data analysis
  • Computer science
  • CPA
  • Microsoft SQL Server
  • SQL
  • Microsoft Excel
  • Machine learning
  • Apache Spark
  • Apache Hive
  • Apache Pig
  • ERP
  • R
  • Python

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