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Senior Python Data Analyst Jobs in Clementon, NJ

Analyze pipeline and awarded contracts by development phase, therapeutic area, region, customer ... Lead monthly business review meetings with segment leaders and present to senior management

The Analyst will act as a liaison between various Data and Engineering stakeholders to develop ... from Sr. leadership o Automate self-service reporting Requirements: Strong experience with SQL ...

Data Analyst

NJ · On-site

$60K - $65K/yr

Analyze operational performance data to identify trends, opportunities, and root causes. * Design ... Translate complex datasets into clear recommendations for frontline leadership and senior ...

Analyze operational performance data to identify trends, opportunities, and root causes. * Design ... Translate complex datasets into clear recommendations for frontline leadership and senior ...

We are currently seeking an Expert Data Analyst to join our team in Moorestown, NJ ... to senior leaders both within and outside of the job function • Responsible for providing ...

We are currently seeking an Expert Data Analyst to join our team in Moorestown, NJ ... to senior leaders both within and outside of the job function • Responsible for providing ...

This role is designed for a senior, analytically sophisticated individual contributor who feels ... Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required)

This role is designed for a senior, analytically sophisticated individual contributor who feels ... Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required)

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Senior Python Data Analyst information

See Clementon, NJ salary details

$56.1K

$101.2K

$138.2K

How much do senior python data analyst jobs pay per year?

As of Jul 19, 2026, the average yearly pay for senior python data analyst in Clementon, NJ is $101,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $110,700.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What are popular job titles related to Senior Python Data Analyst jobs in Clementon, NJ? For Senior Python Data Analyst jobs in Clementon, NJ, the most frequently searched job titles are:
What cities near Clementon, NJ are hiring for Senior Python Data Analyst jobs? Cities near Clementon, NJ with the most Senior Python Data Analyst job openings:
Infographic showing various Senior Python Data Analyst job openings in Clementon, NJ as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $101,214 per year, or $48.7 per hour.
Treasury Financial Data Analyst

Treasury Financial Data Analyst

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Per diem

Re-posted 27 days ago


Job description

Overview
Susquehanna's Treasury team is seeking a technically strong Financial Data Analyst to focus on counterparty analytics and reporting to help drive strategic decisions.
This is a highly analytical, project-oriented role requiring the design and development of data-driven tools and reporting frameworks using Python, SQL, and HTML. The position combines counterparty risk analysis, financial normalization, relationship economics, and treasury strategy within a fast-paced proprietary trading environment.
Key Responsibilities
  • Compile, reconcile, and analyze firm-wide balances, exposures, financing activity, trading flow, and fee structures across counterparties.
  • Quantify full counterparty economics, including financing spreads, fee payments, trading rebates, and capital usage.
  • Prepare financial materials for credit due diligence calls, broker relationship meetings, and commercial negotiations.
  • Partner with Operations and Financing teams to evaluate cost attribution and relationship profitability.
  • Develop standardized frameworks to improve comparability across balance sheets, funding profiles, and capital structures.
  • Produce executive-level summary materials and visual dashboards to support strategic relationship decisions.
  • Partner with international offices to maintain a comprehensive global view of institutional developments

What we're looking for
  • 3-5 years of experience in financial services, preferably within treasury, counterparty risk, prime brokerage, trading operations, or capital markets.
  • Strong technical proficiency in Python, SQL, and HTML.
  • Experience building automated reporting tools or analytical dashboards.
  • Strong understanding of financial statements and capital markets concepts.
  • Exceptional analytical skills and attention to detail.
  • Ability to independently manage long-term, project-based workstreams.
  • Strong communication skills with experience presenting to senior stakeholders.
  • Bachelor's degree in Finance, Accounting, Economics, or any related discipline.
  • Visa sponsorship for work authorization is not available for this position now or in the future.

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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