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Commission Python Data Analysis Jobs in Pennsylvania

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 ...

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 ...

Familiarity with, or the desire to learn Python for data analysis * Experience manipulating and analyzing large and complex data sets * Understanding of data quality (DQ) concepts and a familiarity ...

Familiarity with, or the desire to learn Python for data analysis * Experience manipulating and analyzing large and complex data sets * Understanding of data quality (DQ) concepts and a familiarity ...

Familiarity with, or the desire to learn Python for data analysis * Experience manipulating and analyzing large and complex data sets * Understanding of data quality (DQ) concepts and a familiarity ...

Azure Databricks Data Architect

Trappe, PA · On-site

$63 - $81/hr

... based analytics solutions. The ideal candidate should have deep knowledge of Azure services ... Develop solutions using Apache Spark, PySpark, SQL, and Python. * Design secure data access ...

Azure Databricks Data Architect

Trappe, PA · On-site

$63 - $81/hr

... based analytics solutions. The ideal candidate should have deep knowledge of Azure services ... Develop solutions using Apache Spark, PySpark, SQL, and Python. * Design secure data access ...

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 ...

New

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

Analyst

Pittsburgh, PA · On-site

$100K - $110K/yr

Perform data modeling and statistical analysis. * Use tools like SQL, Excel, and Python/R for analysis. * Ensure data accuracy, integrity, and consistency. * Present findings through charts, graphs ...

Senior Data Analyst

Philadelphia, PA · On-site +1

$86K - $109K/yr

Adhere to data analysis code best practices and analysis standards Requirements Location ... Experience with R or Python for creating data models or data manipulation * The ability to make ...

Senior Data Analyst

Fort Washington, PA · On-site

$82K - $104K/yr

... analysis or business intelligence role, with a proven ability to drive actionable business insights. * Proficient in SQL, Python/R, Excel, and BI tools (e.g., Tableau, Power BI). Experience with data ...

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Data Analyst, Specialist

Full-time

Posted 11 days ago


Job description

The Lead Data Analyst is responsible for driving data-driven decision-making across the organization by leading complex analytical projects, optimizing data processes and delivering actionable insights. This role involves extracting, cleaning and analyzing large datasets to identify trends, measure performance to support strategic initiatives, and close engagement with internal partners.

Responsibilities
  • Partner with internal stakeholders to understand strategic objectives, define data-driven approaches, and lead high-impact analytical projects that align with business goals.
  • Extract, clean and integrate structured and unstructured data from multiple sources, ensuring data accuracy, consistency and reliability for business use.
  • Conduct in-depth statistical analysis and predictive modeling to uncover trends, correlations and insights that drive business growth and operational efficiencies.
  • Work with AI technology to implement large language models and advanced analytics techniques to support strategic initiatives such as customer segmentation, demand forecasting and risk assessment.
  • Build and automate interactive dashboards, real-time reports and data visualization tools using Power BI, Tableau, or similar platforms to enable data accessibility across teams.
  • Ability to synthesize complex data into meaningful stories, actionable insights, and strategic recommendations for business stakeholders.
  • Act as a subject matter expert on data analytics, providing mentorship, training and guidance to junior analysts to strengthen the organization's analytical capabilities.
  • 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 design and implement data-driven strategies, presenting insights in a clear and compelling manner to both technical and non-technical audiences.

Qualifications and Skills
  • Minimum 6 years of relevant work experience, with at least 3 years in advanced analytics, statistical modeling or business intelligence.
  • Bachelor's degree (B.E./B.Tech) in Computer Science, IT, Business Intelligence and Analytics, Statistics/Mathematics, or a similar field.
  • Expertise in SQL for data querying, performance optimization, and database management.
  • Proficiency in Python or R for statistical analysis, automation, and machine learning model development.
  • Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data lakes and big data processing tools.
  • Ability to translate complex data insights into clear and actionable recommendations for business stakeholders.
  • Must be eligible to work in the United States

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.