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Job Position ID:  7123

Consultant - Data Modeling

Location: 

Sao Paolo, São Paulo, BR

Employment Type:  Full Time
Work Model:  Hybrid

Who we are

msg global solutions is a systems integrator, software development partner, and managed services provider focused on SAP solutions for multiple industries. Our services include strategies for accounting, finance, regulatory reporting, performance management, sustainability, customer experience, and IoT. Operating from offices across the globe and growing, we help clients achieve operational efficiency and improve decision-making capabilities. With deep industry knowledge, technical expertise, and a diverse range of perspectives, our people spark change and create innovative solutions to complex operational issues. Our goal is to create long-lasting client relationships built on trust and dependability.

msg global solutions is part of msg, an independent, international group of companies with more than 10,000 employees around the world.

What you will do​

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  • Design, analyze and manage datasets to deliver meaningful insights to help companies of all sizes and across multiple industries address and business challenges.
  • Create, Manage, and utilize structured and unstructured data stores.
  • Perform current state assessment of client analytics and data management capabilities.
  • Leverage visualization tools to enable actionable decision making.
  • Develop system requirements, design, prototype, test, train, define and implement support procedures.
  • Mapping data flows and identifying optimal design and governance options as well as potential data quality risks.


What we are looking for​

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Requirements​

  • Experience in the use of analysis, visualization, data extraction and data modeling technologies.
  • Prior working experience managing data sets, including extraction and merges from source systems, transformation, and providing preliminary descriptive analytics.
  • Fluent in English
  • Undergraduate or master’s degree in at least one of the following courses: Technology (Data Analytics, Computer Science, Management Information Systems) or Business (Economics, Finance, Accounting, Business Analytics) or Math/Engineering (Industrial Engineering, Computer Engineer., Math, Statistics, Actuarial).

 

Nice to have​

  • University degree in with focus on climate change, environmental science and management, environmental economics, climate and energy policy, or a related field
  • Knowledgeable of database coding development and analysis, especially SQL.
  • Experience in building cost and profitability models and using purpose-built solutions.
  • Experience in Financial Planning and Analysis including budgeting and forecasting processes.
  • Experience with reporting Tools (e.g., SAP Analytics Cloud, SAP BO, SAP BW, SAP Analysis for Office, PowerBi, Looker, Tableau, Qlik, Reporting Services).
  • Experience with Big Data Hyperscalers & Tools (e.g., AWS, Google Cloud, Azure, Hadoop, Hive, Pig, Impala, Mahout).

 

What we offer​

  • A place where individuals are equally valued and where diversity and cultural differences are cherished.
  • A global team of highly respected SAP and industry experts where you can make a difference.
  • Competitive salaries and a broad range of benefits, some of which are highlighted below.
  • Boost the development of your career in both functional and technical directions by comprehensive advanced education, deep product knowledge
  • Receive an attractive and competitive salary package including incentive payment and further employee benefits (Health Insurance, Dental Insurance, Life Insurance, Meal & Food Vouchers and Private Pension Fund)

About msg global solutions

msg global is an Equal Opportunity Employer. Equal Employment Opportunity has been, and will continue to be, a fundamental principle for us. At the heart of this policy is our commitment that we make job related decisions based on the job related criteria. More specifically, employment is based on personal capabilities and qualifications without discrimination based on race, color, religion, sex, age, national origin, disability, sexual orientation, marital status, ancestry, veteran status or any other protected characteristic as established by law. These principles are to be applied to policies and procedures relating to recruitment and hiring, compensation, benefits, termination and all other terms and conditions of employment.

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