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

Must have 5+ years of Strong Proficiency in SQL and Python. * Big Data, Data Science & Analytics (Apache Hadoop HDFS, Base/Hive/Pig/Mahout/Flume/Scoop/MapReduce/Yarn, Cloudera HD, NoSQL, R, Spark ...

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 ...

Investment Data Analyst

Wayne, PA · On-site

$70K - $90K/yr

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 ...

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 ...

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 ...

We are seeking a data visualization expert with a passion for transforming complex data into clear ... SQL and Tableau experience required. * Python & Advanced analytics (e.g. predictive modeling ...

Automate and streamline recurring data analysis and reporting workflows using SQL, Python, and other programming tools to improve efficiency and reduce manual effort. * Collaborate with leadership to ...

- Data Analyst The primary role of the Data Analyst at Spherix Global Insights is to manage the ... Python, SAS, R, or SQL. * Working knowledge and experience using Microsoft Power Point

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 · 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 ...

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Data Analyst Python Sql information

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$33.4K

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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 Malvern, PA is $81,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $95,200.00 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 are popular job titles related to Data Analyst Python Sql jobs in Malvern, PA? For Data Analyst Python Sql jobs in Malvern, PA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Malvern, PA look for? The top searched job categories for Data Analyst Python Sql jobs in Malvern, PA are:
What cities near Malvern, PA are hiring for Data Analyst Python Sql jobs? Cities near Malvern, PA with the most Data Analyst Python Sql job openings:
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.
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