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Data Analyst


Job Location:

Trenton, NJ - USA

Monthly Salary: Not provided by the employer
Posted: 28 September 2026 (9 hours ago)
Application Deadline: 26 December 2026
Vacancies: 1 Vacancy

Job Summary

What This Role Is - and Is Not
IS: A build role - candidate designs solutions from scratch not maintains existing ones
IS: Sales-facing - daily go-to data resource for senior salespeople
IS: Hands-on technical - SQL Excel and CRM integration not coordination
NOT: A PM or BA coordinator role - we need a doer not a meeting facilitator
NOT: Entry-level - must operate independently from day one

Hard Requirements - Do Not Submit Without These
Advanced Excel - (VLOOKUP/XLOOKUP SUMIFS INDEX/MATCH PivotTables data hygiene).
SQL - candidate must describe a specific query with table logic and joins on the phone screen; I use SQL to pull data is not sufficient
Financial services background - asset management private equity wealth management or capital markets; pharma eCommerce and general consulting backgrounds have not performed well in this search

Preferred Qualifications
Salesforce - especially Financial Services Cloud; hands-on admin or integration experience not just end-user (required)
Tableau - able to build and maintain dashboards independently (but not required)
Python or scripting experience - signals a builder not just an analyst (but not required)
Experience integrating third-party data vendors into a CRM or data warehouse

Disqualifiers - Do Not Submit These Profiles
Excel limited to basic reporting or template maintenance
Vague SQL answers - cannot give a concrete specific technical example (SQL is not required but if they have experience I would expect the ability to communicate good examples of use cases)
PM or BA coordinators whose primary value is stakeholder management not hands-on data work
No financial services experience
Resume is more than 2 pages or consists of dense walls of text with no clear structure - poor written communication is disqualifying for a role that requires clear daily communication with salespeople
Significant typos or grammatical errors on the resume - attention to detail is non-negotiable for a data role
CANDIDATES MUST STILL HAVE EXCELLENT COMMUNICATION SKILLS AND CRM IS A HARD REQUIREMNT. CANDIDATES MUST HAVE CAPITAL MARKETS CRM HEAVY EXCEL/VLOOKUP AND NO ACCENT/EXCELLENT COMMUNICATION SKILLS AND RECENT LOCAL PROJECTS. CRM IS A MUST HAVE.
Requirement Notes (Candidate Job description below) : We are seeking a Data Analyst with strong financial services experience and exceptional Excel data analysis and process improvement skills to support a business-facing data and CRM environment. The ideal candidate will come from a buy-side organization such as a hedge fund asset manager or investment management firm and will be comfortable working directly with end-users to understand their needs resolve data issues and develop practical solutions. This is a highly collaborative role for someone who can bridge the gap between business users data CRM and technology. The successful candidate should be a creative problem solver who can work through complex data structures integrate information from multiple sources improve processes and translate business requirements into effective data solutions. ***** THIS IS A HEAVY EXCEL POSITIONS WITH EXTENSIVE VLOOKUPS EXPERIENCE AND WITH THE ABILITY TO INTEGRATE MULTIPLE DATA SOURCES INTO CRM.
**** RECENT EXPERIENCE IN CAPITAL MARKETS/HEDGE FUNDS/ASSET MANAGEMENT COMPANY ON THE BUY SIDE. CANDIDATES MUST HAVE EXCELLENT COMMUNICATION SKILLS.
NOTES:
Heavy interaction with end-users to provide additional client data.
Identify client needs
Integrate multiple data sources into CRM - be able to work through different data structures
Add new fields Flows Apex enhance reporting
Excel is heavily used to add and pull data
SQL queries and Data Analysis
Bottom line: we need a normal person that can work with the business and creatively solve their problems.
She will ask them to do Vlookups and pull down a data set in excel on the interview.
They can use Google during the interview
*** Experience required on a resume and for submittal:
1. How many years working with: Data Analyst
2. How many years working with: CAPITAL MARKETS/HEDGE FUNDS/ASSET MANAGEMENT COMPANY ON THE BUY SIDE.
3. How many years working with: Excel/VLOOKUPs
4. How many years working with: CRM
5. How many years working with:
Data Analyst Finance / Asset Management / CRM
Position Overview
We are seeking a Data Analyst with strong financial services experience and exceptional Excel data analysis and process improvement skills to support a business-facing data and CRM environment. The ideal candidate will come from a buy-side organization such as a hedge fund asset manager or investment management firm and will be comfortable working directly with end-users to understand their needs resolve data issues and develop practical solutions.
This is a highly collaborative role for someone who can bridge the gap between business users data CRM and technology. The successful candidate should be a creative problem solver who can work through complex data structures integrate information from multiple sources improve processes and translate business requirements into effective data solutions.
Key Responsibilities
Work closely with business users and end-users to understand client data requirements challenges and opportunities for improvement.
Identify client and business needs and develop practical creative solutions to address data-related problems.
Perform extensive data analysis using Microsoft Excel including manipulating reconciling validating transforming and reporting on large datasets.
Use Excel heavily to add update extract reconcile and analyze data across multiple sources.
Integrate data from multiple systems and sources into the organizations CRM platform working with different data structures and formats.
Analyze existing data processes and identify opportunities for data process improvement automation standardization and increased efficiency.
Work with CRM functionality to add and maintain fields improve workflows/Flows enhance reporting and support business requirements.
Partner with CRM/technical teams on Salesforce-related enhancements including fields Flows Apex and reporting.
Write and execute SQL queries to retrieve validate investigate and analyze data.
Investigate data discrepancies identify root causes and work with business and technology teams to resolve issues.
Gather requirements directly from end-users and translate business needs into clear data and reporting solutions.
Support the development and enhancement of management and client reporting.
Perform data quality checks reconciliation and validation across multiple data sources.
Document data processes requirements workflows and business rules.
Communicate effectively with both technical and non-technical stakeholders.
Required Qualifications
Strong professional experience as a Data Analyst Business Data Analyst CRM Data Analyst or similar role.
Exceptional Microsoft Excel skills are required.
Prior experience working in financial services is mandatory.
Strong preference for candidates with buy-side experience particularly within:
o Hedge Funds
o Asset Management
o Investment Management
o Portfolio Management
Strong experience with data analysis and data process improvement.
Hands-on experience working with CRM platforms preferably Salesforce.
Experience working with multiple data sources and navigating different data structures.
Experience adding or modifying CRM fields Flows reporting and related functionality.
Understanding of Salesforce Apex is highly desirable.
Strong SQL querying and data analysis skills.
Excellent problem-solving and analytical abilities.
Strong communication skills and the ability to interact directly with business users and senior stakeholders.
Preferred Skills
Advanced Microsoft Excel
SQL
Salesforce CRM
Salesforce Flows
Salesforce Apex
CRM data integration
Data quality and reconciliation
Data process improvement
Reporting and analytics
Financial data
Asset Management / Hedge Fund data
Requirements gathering
Business process analysis
Data mapping
End-user support
Cross-functional collaboration