Senior Associate (and above) PCAOB Data Analyst (Stockholm, Gothenburg)

at  KPMG

Göteborg, Västra Götalands län, Sweden -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate28 Dec, 2024Not Specified29 Sep, 20243 year(s) or aboveData Analytics,Computer Science,Presentation Skills,Power Bi,Analytical Skills,Statistics,Financial Data,Data Mining,Cisa,Sql Server,Mathematics,Machine Learning,Python,Tableau,Cap,Data AnalysisNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

ABOUT US

Capital Markets- Internal Controls IT + AI is a fast-growing department full of opportunities for any professional looking to kick-start a career in analytics.
Capital Markets is part of KPMG Deal Advisory which consists of four departments: Capital Markets, Transaction Services, Deal Strategy, and Corporate Finance. As a team Capital Markets takes on a wide range of assignments within our four service lines: IPO & ESG readiness, Deal Accounting, US Capital Markets, and Internal Controls IT + AI.
The Capital Market’s Internal Controls IT + AI team is a cross functional team specializing in U.S. PCAOB IT Audit, Artificial Intelligence, and Automation technologies.
In addition, the team works across other departments and projects participating in the development of data-driven digital solutions, automation, and robotics for KPMG. We are a diverse and international team with members from multiple countries from all continents with backgrounds in IT, law, economics, and engineering.

SKILLS & REQUIREMENTS

As a successful candidate you will have a combination of the following:

  • 3+ years of experience in data analysis, with a focus on financial data
  • Strong analytical skills and the ability to identify trends and patterns in data
  • Proficiency in SQL Server and Python, with experience building dashboards and reports using BI tools such as Power BI or Tableau.
  • Experience with data mining, machine learning, and other advanced analytics techniques.
  • Excellent communication and presentation skills, with the ability to effectively communicate complex data analysis findings to both technical and non-technical audiences.
  • Strong problem-solving skills and the ability to work independently and as part of a team.
  • Holds relevant accredited qualification (e.g., U.S CPA, CISA, CAP, CAML, etc).
  • Bachelor’s degree in a quantitative field such as statistics, computer science, or mathematics.

The Internal Controls IT + AI team welcomes any professional background if you are eager to work with data-driven solutions, data analytics, and financial data. The team searches for a professional with a start-up attitude who would like to contribute with fresh ideas to the day-to-day responsibilities, as well as someone who understand that client and team comes first.

Responsibilities:

  • Lead and manage complex data analysis projects, including data collection, cleaning, transformation, and analysis.
  • Develop and implement data-driven solutions to improve efficiency and effectiveness of internal controls and audit processes.
  • Collaborate with stakeholders across the organization to identify and understand business needs and translate them into actionable insights.
  • Design and build dashboards and reports to visualize data and communicate findings to stakeholders.
  • Stay up-to-date on the latest data analytics tools and technologies within KPMG global network and externally and identify opportunities to leverage them within the team.
  • Mentor and coach junior team members and contribute to the overall development of the team.


REQUIREMENT SUMMARY

Min:3.0Max:8.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

A quantitative field such as statistics computer science or mathematics

Proficient

1

Göteborg, Sweden