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Data Analyst Python Sql Jobs in Lansdowne, PA (NOW HIRING)

Job Title: Data Analyst Location: Malvern, PA * Engage with internal partners to understand ... Coding knowledge in SQL, Python, or the equivalent (SAS, R) * Data visualization using Tableau ...

Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS. Compensation The listed annualized base pay range is primarily based on analysis of ...

Data Analyst Engineer Location: Malvern, PA - Hybrid Duration: 6 -12 months Two Round Interview ... SQL Development experience (and/or Python development) (SAS or R could also be helpful) * Tableau ...

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business ... SQL (preferred), dbt, DAX, Python or equivalent. * Experience with Snowflake or an equivalent cloud ...

Senior Data Analyst

Conshohocken, PA · On-site

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business ... SQL (preferred), dbt, DAX, Python or equivalent. * Experience with Snowflake or an equivalent cloud ...

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business ... SQL (preferred), dbt, DAX, Python or equivalent. * Experience with Snowflake or an equivalent cloud ...

Data Analyst

Bridgeport, PA · On-site

$70K - $85K/yr

Data Analyst (Power BI/SQL) Location: Conshohocken, PA Salary: $70,000 - $85,000 Overview We are seeking a Data Analyst with 3-5 years of experience to support reporting, analytics, and data ...

... and SQL • Support ingestion and transformation of large datasets using Databricks (PySpark, SQL) and Informatica workflows • Create comprehensive Incoming Data Collections (IDCs) for cloud ...

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Data Analyst Python Sql information

See Lansdowne, PA salary details

$32K

$77.9K

$128.2K

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

As of Jun 28, 2026, the average yearly pay for data analyst python sql in Lansdowne, PA is $77,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $91,400.00 per year, depending on experience, location, and employer.

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.

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.

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 are popular job titles related to Data Analyst Python Sql jobs in Lansdowne, PA? For Data Analyst Python Sql jobs in Lansdowne, PA, the most frequently searched job titles are:
What cities near Lansdowne, PA are hiring for Data Analyst Python Sql jobs? Cities near Lansdowne, PA with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Lansdowne, PA as of June 2026, with employment types broken down into 4% Internship, 84% Full Time, 4% Part Time, and 8% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $77,887 per year, or $37.4 per hour.
Treasury Financial Data Analyst

Treasury Financial Data Analyst

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Per diem

Posted 6 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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