ZipRecruiter

Log In

1

Data Analyst Python Sql Jobs in Lawrenceville, NJ

ParetoHealth

Data Analyst

Philadelphia, PA · Remote

Strong SQL skills, including building, optimizing, and validating complex analytical queries * Proficiency in data visualization tools such as Tableau * Experience using Python for analysis and data ...

SRP Systems Inc

Senior Python Developer

Princeton, NJ

$127K - $171K/yr

Company Description We are SRP System Inc., a Big Data startup company. We work on exciting ... Senior Python & SQL Developer: We need someone that carries strong experience in writing Python ...

SRP Systems Inc

Senior Python Developer

Princeton, NJ · On-site

$127K - $171K/yr

Company Description We are SRP System Inc., a Big Data startup company. We work on exciting ... Senior Python & SQL Developer: We need someone that carries strong experience in writing Python ...

SRP Systems Inc

Senior Python/Spark developer

Princeton, NJ

$127K - $171K/yr

Princeton, NJ Full Time/Contract We are looking for a Senior Python/Spark developer that carries extremely strong SQL and data analysis skills. Requirement: * 5+ years of hands-on experience with ...

Tech Tammina

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

... Python, SQL, and Azure Data Factory/Fabric . * Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage . * Support analytics and AI/ML use cases with clean ...

Tech Tammina LLC

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

... Python, SQL, and Azure Data Factory/Fabric . * Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage . * Support analytics and AI/ML use cases with clean ...

SRP Systems Inc

Senior Python/Spark developer

Princeton, NJ · On-site

$127K - $171K/yr

Princeton, NJ Full Time/Contract We are looking for a Senior Python/Spark developer that carries extremely strong SQL and data analysis skills. Requirement: * 5+ years of hands-on experience with ...

next page

Showing results 1-20

All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Lawrenceville, NJ

Data Analyst Python Sql information

See Lawrenceville, NJ salary details

$35.8K

$87K

$143.1K

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

As of Jul 27, 2026, the average yearly pay for data analyst python sql in Lawrenceville, NJ is $86,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $102,100.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Lawrenceville, NJ look for? The top searched job categories for Data Analyst Python Sql jobs in Lawrenceville, NJ are:
What cities near Lawrenceville, NJ are hiring for Data Analyst Python Sql jobs? Cities near Lawrenceville, NJ with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Lawrenceville, NJ as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $86,958 per year, or $41.8 per hour.
Treasury Financial Data Analyst

Treasury Financial Data Analyst

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Per diem

Posted 5 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.
#LI-WD1

Apply