1

Senior Risk Data Analyst Jobs in Pennsylvania (NOW HIRING)

Envestnet is seeking a Data Analyst II to join our Product department. This is a hybrid role, with ... Adherence to and application of Envestnet legal, compliance, risk, business continuity and ...

Envestnet is seeking a Data Analyst II to join our Product department. This is a hybrid role, with ... Adherence to and application of Envestnet legal, compliance, risk, business continuity and ...

Data Analyst, Senior Specialist

Malvern, PA · On-site

$84K - $106K/yr

... senior leaders Analytics Product Ownership * Design, develop, and manage recurring reporting and analytics solutions * Drive best practices in data visualization and mentor others in effective ...

Data Analyst, Senior Specialist

Malvern, PA · On-site

$84K - $106K/yr

... senior leader stakeholders to implement. * Develops, owns and manages recurring analytic or reporting processes. Demonstrates expertise in data visualization and mentors analysts on data ...

Data Analyst, Senior Specialist

Malvern, PA · On-site

$84K - $106K/yr

... senior leader stakeholders to implement. * Develops, owns and manages recurring analytic or reporting processes. Demonstrates expertise in data visualization and mentors analysts on data ...

... Senior Analyst works at the direction of a Team Leader to fulfill the data and analytical needs of ... risk of managing data assets and ensures compliance of appropriate bank policies and regulatory ...

Showing results 41-60

Senior Risk Data Analyst information

How does a senior risk data analyst typically collaborate with other departments within an organization?

As a Senior Risk Data Analyst, you will regularly collaborate with teams such as compliance, finance, operations, and IT to gather data, validate risk models, and communicate findings. Your insights help inform decision-making across the business, so strong cross-functional communication skills are essential. You may participate in risk assessment meetings, support audits, and provide data-driven recommendations to improve risk management strategies. This collaborative environment not only enhances your analytical impact but also provides opportunities for professional growth and learning from other subject matter experts.

What are the key skills and qualifications needed to thrive as a senior risk data analyst, and why are they important?

To thrive as a Senior Risk Data Analyst, you need strong analytical skills, expertise in statistical modeling, and a background in finance, mathematics, or related fields, often supported by a relevant degree. Proficiency in data analysis tools like SQL, Python, R, and familiarity with risk management systems or certifications such as FRM or CFA is typical. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately identifying, assessing, and mitigating risks to support sound decision-making within an organization.

What does a senior risk data analyst do?

A Senior Risk Data Analyst is responsible for analyzing data to identify, assess, and help mitigate risks that could impact an organization. They use statistical methods and data modeling to uncover trends, evaluate the effectiveness of risk management strategies, and provide actionable insights to decision-makers. Their work often involves collaborating with other departments, preparing reports, and ensuring compliance with relevant regulations. Senior analysts also mentor junior team members and contribute to the development of risk assessment frameworks.

What is the difference between Senior Risk Data Analyst vs Risk Data Analyst?

AspectSenior Risk Data AnalystRisk Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Finance, or related field; certifications like FRM or CFABachelor's degree in related field; certifications are a plus but not mandatory
Work EnvironmentTypically in financial institutions, insurance companies, or consulting firms; involves complex data analysis and risk modelingSimilar environments, focusing on data collection, analysis, and reporting of risk metrics
Employer & Industry UsageUsed in banking, insurance, investment firms, and risk management departmentsCommon in finance, insurance, and corporate risk teams

The main difference between a Senior Risk Data Analyst and a Risk Data Analyst lies in experience level, responsibilities, and expertise. Senior Risk Data Analysts usually handle more complex risk models, mentor junior staff, and contribute to strategic decision-making, whereas Risk Data Analysts focus on data collection, analysis, and reporting. Both roles are vital in risk management but differ in scope and seniority.

What are popular job titles related to Senior Risk Data Analyst jobs in Pennsylvania? For Senior Risk Data Analyst jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Senior Risk Data Analyst jobs in Pennsylvania look for? The top searched job categories for Senior Risk Data Analyst jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Senior Risk Data Analyst jobs? Cities in Pennsylvania with the most Senior Risk Data Analyst job openings:

Data Analyst II

Envestnet

Berwyn, PA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Envestnet is seeking a Data Analyst II to join our Product department. This is a hybrid role, with in-office work required at our Berwyn, PA office location.

Envestnet is transforming the way financial advice is delivered through its connected technology, advanced insights, and asset management solutions – backed by industry-leading service and support. Since 1999, Envestnet has served the wealth management industry and today supports trillions in platform assets, serving over a hundred thousand financial advisors. The vast majority of the nation’s leading banks, the largest wealth management and brokerage firms, and over 500 of the largest RIAs rely on Envestnet’s wealth management platform and solutions to drive business growth, boost productivity, and deliver better financial outcomes for their clients. 

Envestnet’s Strategy:

  • Deliver the industry-leading wealth management platform, powered by advanced data and insights 
  • Leverage our scale and efficiencies to serve our clients’ needs comprehensively 
  • Enable financial advisors to deliver more holistic advice – reflecting a more complete view of their clients’ financial lives, and in a more connected environment

For more information, please visit www.envestnet.com.

Job Summary: 

Envestnet is looking for a Data Analyst II to work our Product Team to achieve strategic objectives around data quality and enrichment. As a Data Analyst II, you will support the development of data-driven, analytical solutions related to our platform and perform effective evaluation of output quality against business targets.

Job Responsibilities:

  • Partner with stakeholders (Product, Data Science, Sales, Professional Services, and Client Services) in the delivery of analytics that will strengthen our data products and reduce client support requests.
  • Collaborate with Product Management, Data Science, and Engineering teams to define, scope, and develop new features & functionality geared towards the platform.
  • Perform Data Analysis, Joins, Aggregations and Sub Queries. 
  • Monitor platform performance and calculate accuracy metrics.
  • Provide clear, insightful interpretation of available internal and external data.
  • Use data to create models that depicts trends.
  • Perform data quality and accessibility testing and verification of data sets.
  • Interact with external clients on a weekly basis by providing timely and professional updates.
  • Adherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department(s) including the timely completion of training & awareness, affirmations and testing as requested. 
  • As part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk.

Required Qualifications: 

  • 3+ Years of experience in Data Analysis and/or Data Science
  • Strong SQL skills
  • Familiarity with DBT is a plus
  • Familiarity with, or the desire to learn Python for data analysis
  • Experience manipulating and analyzing large and complex data sets
  • Understanding of data quality (DQ) concepts and a familiarity with DQ tools/methods
  • Passion for working with data & a strong attention to detail
  • The ability to identify trends and patterns of information
  • An understanding of general landscape for data science and opportunities within AI

Envestnet: 

  • Be a member of an innovative and industry leading financial technology and solutions company 
  • Competitive Compensation/Total Reward Packages that include:
    • Health Benefits (Health/Dental/Vision)
    • Paid Time Off (PTO) & Volunteer Time Off (VTO)
    • 401K – Company Match
    • Annual Bonus Incentives
    • Parental Stipend 
    • Tuition Reimbursement
    • Student Debt Program
    • Charitable Match 
    • Wellness Program

Envestnet is an Equal Opportunity Employer.

#LI-AQ1