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Urgently Hiring Rbc Data Analyst Jobs in Wisconsin

Bellin

Accountable Care Data Analyst

Green Bay, WI · On-site

Emplify Health by Bellin is Hiring an Accountable Care Health Data Analyst for Value-Based Care and Population Health Management! Job Specifics: Location: 1920 Libal St, Green Bay, WI 54301, remote ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the ...

Medica

Pharmacy Analyst III

Madison, WI · On-site

$78K - $134K/yr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... While the full salary grade is provided, the typical hiring salary range for this role is expected ...

Imedica

Pharmacy Analyst III

Madison, WI

$78K - $134K/yr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... While the full salary grade is provided, the typical hiring salary range for this role is expected ...

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Urgently Hiring Rbc Data Analyst information

What is the difference between Urgently Hiring Rbc Data Analyst vs Rbc Data Scientist?

AspectUrgently Hiring Rbc Data AnalystRbc Data Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentBusiness analytics, reporting, and data managementAdvanced modeling, machine learning, and predictive analytics
Employer & Industry UsageFinancial services, banking, and retail sectors

The main difference is that an Urgently Hiring Rbc Data Analyst focuses on data reporting and analysis to support business decisions, while an Rbc Data Scientist works on developing predictive models and advanced analytics. The analyst role is more operational, whereas the scientist role involves more complex data modeling and machine learning techniques.

What are the key skills and qualifications needed to thrive as an RBC data analyst?

To thrive as an RBC Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau or Power BI, as well as experience with banking systems, is often expected. Excellent problem-solving, communication, and teamwork skills set top candidates apart. These competencies are crucial for delivering actionable insights, supporting business decisions, and ensuring data-driven success in a financial environment.

What are some common challenges faced by data analysts at RBC, and how can new hires prepare to overcome them?

Data Analysts at RBC often work with large, complex datasets and must navigate strict data privacy and compliance requirements unique to the financial industry. A common challenge is ensuring data accuracy and consistency while meeting tight project deadlines. Collaboration with cross-functional teams, such as IT, business stakeholders, and compliance departments, is frequent and essential for project success. New hires can prepare by strengthening their technical skills in data tools (like SQL and Tableau), staying current on industry regulations, and developing strong communication abilities to clearly present findings to both technical and non-technical audiences.

What does an RBC data analyst do?

An RBC Data Analyst is responsible for collecting, analyzing, and interpreting large sets of data to help the Royal Bank of Canada (RBC) make informed business decisions. Their duties typically include data cleaning, generating reports, visualizing trends, and collaborating with different departments to understand business needs. They use statistical tools and software to identify patterns and provide actionable insights that drive strategy and improve operations. Data Analysts at RBC play a crucial role in optimizing financial services and enhancing customer experiences.
What are the most commonly searched types of Rbc Data Analyst jobs in Wisconsin? The most popular types of Rbc Data Analyst jobs in Wisconsin are:
Urgently Hiring Rbc Data Analyst jobs near you

Master Data Analyst

HellermannTyton Corporation

Milwaukee, WI • On-site

Full-time

Re-posted 18 days ago

HellermannTyton rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
The Master Data Analyst is responsible for supporting and coordinating North America master data governance activities to ensure high-quality, consistent, and trusted data across systems and platforms. This role partners closely with business data stewards, functional teams, IT, and reporting teams to define, maintain, and improve master data attributes, processes, and data quality.
The Master Data Analyst plays a critical role in ERP master data execution, governance compliance, and reporting design enablement for both ERP and Business Intelligence (BI) solutions.
This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.
Essential Functions:
Master Data Governance & Stewardship
  • Support and coordinate North America master data governance activities across key domains (e.g., Customer, Product, Vendor, Material, Location).
  • Partner with business data stewards to maintain master data standards, ownership, and accountability.
  • Facilitate governance workflows related to master data creation, change, approval, and retirement.
  • Ensure adherence to master data policies, naming standards, hierarchies, and reference data definitions.

Master Data Maintenance & Quality
  • Work with business and functional teams to define, validate, and maintain master data attributes and business rules.
  • Monitor and analyze master data quality, identifying issues related to completeness, accuracy, consistency, and timeliness.
  • Support data quality remediation efforts, root cause analysis, and continuous improvement initiatives.
  • Assist in defining and tracking data quality metrics and KPIs.

ERP Master Data Support
  • Support master data activities within the ERP environment (e.g., customer, product, vendor, pricing, organizational structures).
  • Collaborate with ERP functional teams to ensure master data supports business processes and operational needs.
  • Assist during ERP implementations, enhancements, and upgrades, including data migration, validation, and reconciliation.
  • Document master data-related processes, roles, and controls.

Reporting & Analytics Enablement
  • Partner with reporting and analytics teams to ensure master data is fit-for-purpose for ERP reporting and BI solutions.
  • Support the design of master data structures, hierarchies, and attributes that enable consistent reporting and analytics.
  • Collaborate in aligning ERP master data with BI semantic models, dimensions, and reference data.

Cross-Functional Collaboration
  • Act as a liaison between business, IT, ERP, and BI teams on master data-related topics.
  • Support change management and communication related to master data standards and governance processes.
  • Contribute to master data documentation, training materials, and user guidance.

Success in this role will require
  • Data governance and stewardship mindset
  • Strong attention to detail and data accuracy
  • Ability to translate business needs into data attributes and standards
  • Comfortable operating between business and technical teams
  • Process-oriented with a continuous improvement focus

What You'll Bring
  • Bachelor's degree in information systems, Business Administration, Data Analytics, Supply Chain, or a related field.
  • 3+ years of experience in master data management, data governance, or ERP data support.
  • Working knowledge of ERP systems (e.g., SAP, Oracle, JDE).
  • Experience working with business data stewards and cross-functional teams.
  • Strong understanding of master data concepts, including attributes, hierarchies, reference data, and data quality.
  • Experience supporting reporting and analytics initiatives (ERP reporting and/or BI tools).
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent written and verbal communication skills.

Preferred / Nice-to-Have Qualifications
  • Experience supporting master data during ERP transformations or migrations.
  • Familiarity with data governance frameworks and operating models.
  • Experience with BI tools such as Power BI, Tableau, or similar platforms.
  • Exposure to data quality tools, MDM platforms, or data catalog tools.
  • Experience in manufacturing, distribution, or supply chain environments.
  • Understanding of dimensional modeling concepts (facts, dimensions) for analytics.

#LI-Hybrid #LI-DM3
By applying for a position with HellermannTyton, you understand that should you be made an offer, it will be contingent on your undergoing and successfully completing a background check through the use of our 3rd party supplier. Background checks may include some or all of the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, criminal check, driving history, and drug test. You will be notified during the hiring process of which checks are required by the position.
HellermannTyton Corporation is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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