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Senior Python Data Analysis Jobs in Pennsylvania

Perform longitudinal data analysis, including Program Information Report (PIR) analysis, and ... Experience with Excel, Python, R, and preferably Smartsheet * Experience working with data layers ...

Our Enterprise Data and Analytics team is growing, and we're seeking an outstanding Senior Data ... Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ...

Familiarity with using Python for data analysis (or equivalent language). * A strong sense of ownership * A team player * Strong verbal and written communication skills Additional Information ...

Familiarity with using Python for data analysis (or equivalent language). * A strong sense of ownership * A team player * Strong verbal and written communication skills Additional Information ...

Data Engineer (AWS-Python)

Malvern, PA · On-site

$112K - $134K/yr

We are seeking a Senior Data Engineer with strong hands-on experience in building AWS-based data ... Write and optimize SQL queries for analytical and reporting use cases * Develop and maintain Python ...

Perform exploratory data analysis (EDA) and feature engineering. * Monitor model performance and ... Strong proficiency in Python and SQL. * Experience with Machine Learning frameworks such as Scikit ...

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Senior Python Data Analysis information

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

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

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Pennsylvania? The most popular types of Python Data Analysis jobs in Pennsylvania are:
What are popular job titles related to Senior Python Data Analysis jobs in Pennsylvania? For Senior Python Data Analysis jobs in Pennsylvania, the most frequently searched job titles are:

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Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

Koniag Professional Services, LLC, a Koniag Government Services company, is seeking a Data Analyst to support KPS and our government customer in Philadelphia, PA. This position requires the candidate to be able to obtain a Public Trust. This position is for a Future New Business Opportunity.   

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more

 

The Data Analyst will collect, analyze, and report on program data to identify trends, support decision-making, and drive process improvements. Core responsibilities include data quality oversight, system maintenance, and conducting quantitative and qualitative analyses to develop reports, visualizations, and data-driven insights for federal staff and program leadership. This is an ONSITE position required to be performed at the Philadelphia office locations, with telework available upon approval.

Essential Functions, Responsibilities & Duties may include, but are not limited to:

  • Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight.
  • Conduct both basic and complex statistical analyses to identify trends, patterns, and actionable insights across federal grant programs.
  • Perform longitudinal data analysis, including Program Information Report (PIR) analysis, and develop high-quality written reports explaining the results of data compilation and analysis activities.
  • Prepare management information reports on a periodic, cyclical, or ad-hoc basis to support program leadership and decision-making.
  • Identify and resolve reporting anomalies and data quality issues to ensure the integrity of program data.
  • Create data-driven presentations for management meetings, conferences, and leadership briefings.
  • Support congressional reporting and respond to other high-priority data requests in a timely and accurate manner.
  • Conduct trend analysis and comparative assessments across programs and regions to identify opportunities for program improvement.
  • Conduct qualitative analysis of grant applications, budgets, intake forms, and other grant-related documents.
  • Review documentation to identify errors, missing information, or required follow-up actions and communicate findings appropriately.
  • Analyze correspondence and communications between the federal government and grant recipients to identify themes and patterns in textual data.
  • Leverage AI tools appropriately while adhering to federal policies, including approved AI platforms.
  • Synthesize qualitative findings into actionable recommendations for program staff and leadership.
  • Develop compelling data stories that communicate complex insights to diverse audiences, including both technical and non-technical stakeholders.
  • Create executive summaries and briefing materials for leadership, including materials for state conferences and internal decision-making support.
  • Design and deliver oral presentations with support materials to a variety of audiences.
  • Generate crosstabs, detailed analytical tables, and data visualizations to support reporting needs.
  • Translate complex data findings into clear, actionable recommendations that drive program improvements.

 

Position Requirements:

Education:

  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an accredited college or university.

 

Required Experience:

  • A minimum of 3 years of relevant post-baccalaureate professional experience directly related to data analysis.

Required Skills and Competencies:

  • Strong analytical and critical-thinking skills with the ability to work independently and collaboratively in a team environment.
  • Demonstrated ability to aggregate, analyze, and present data from multiple sources in a clear and meaningful way.
  • Experience with methodology or implementation of AI application tools (GitHub, R, Qualtrics, Tableau, or Power BI), ArcGIS
  • Experience reporting analytical findings to diverse audiences, including both technical and non-technical stakeholders.
  • Experience with Excel, Python, R, and preferably Smartsheet
  • Experience working with data layers and data infrastructure to support analytical and reporting activities.
  • Experience with qualitative data analysis methodologies, including identifying themes and patterns in textual data.
  • Proven ability to manage multiple analytical projects simultaneously and meet deadlines in a fast-paced environment.
  • Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint) and web-based collaboration tools.
  • Professional communication skills, both written and oral, include the ability to produce high-quality written reports and deliver oral presentations.

Travel Requirements: 

  • Contractor personnel are required to travel within and outside the Region during the performance of this contract to conduct site visits, attend meetings, conferences, and training 

Additional Requirements:

  • U.S. citizenship or legal authorization to work in the United States 
  • Ability to obtain and maintain a Public Trust security clearance 
  • Ability to pass required background investigations for access to federal facilities and systems 
  • Ability to work independently and collaboratively in a team environment 
  • Ability to maintain confidentiality and handle sensitive information appropriately 
  • Willingness to complete mandatory training requirements 

Security Requirement: 

  • Ability to obtain and maintain a Public Trust security clearance 

 

Desired Skills and Competencies:

  • Experience working with federal grant programs, particularly in data analysis or program oversight capacity.
  • Knowledge of Head Start or similar early childhood education programs.
  • SQL, GIS, Data Visualizations, Survey Methodology or Implementation, application of AI
  • Knowledge of survey methodology or survey implementation practices.
  • Experience with AI tools and platforms, including GitHub and Qualtrics, in compliance with applicable federal policies.
  • Familiarity with web-based data quality and collaboration tools.

 

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352