Qode
Job Title:
Senior Data Analyst
Location:
Pittsburgh, PA/ Dallas, TX/ Cleveland, ohio (Hybrid)
Job Type:
Full-Time
Experience Level:
Senior
Job Summary:
PNC Bank is seeking a highly skilled and detail-oriented
Senior Data Analyst
with strong experience in
Python ,
PySpark , and
banking/financial services . This role involves working with large datasets, developing data pipelines, and generating insights to support strategic business decisions.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines using
PySpark
on distributed platforms (e.g., Hadoop, Databricks, or similar). Perform data extraction, transformation, and analysis using
Python , SQL, and Spark. Collaborate with business stakeholders to gather requirements and deliver actionable insights through dashboards, reports, and data visualizations. Analyze structured and unstructured data from internal banking systems to support business and regulatory needs. Partner with engineering and data science teams to operationalize machine learning models and analytics solutions. Ensure data quality, accuracy, and consistency across analytical solutions. Document business rules, data flows, and process logic in compliance with data governance standards. Lead or mentor junior analysts and collaborate with cross-functional teams across product, risk, compliance, and IT.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, Statistics, or related field. 5+ years of professional experience in data analytics or data engineering roles. Strong proficiency in
Python
(Pandas, NumPy, etc.) and
PySpark . Experience working on
distributed data systems
such as Hadoop, Hive, or Databricks. Deep understanding of
SQL
for querying large datasets. Prior experience in the
banking or financial services
industry, with knowledge of core banking functions (e.g., deposits, lending, credit risk, regulatory compliance). Experience with data visualization tools such as
Tableau, Power BI, or Matplotlib . Strong communication skills and ability to translate complex data into business insights.
Preferred Skills:
Familiarity with
cloud platforms
(AWS, Azure, or GCP). Knowledge of
data governance, metadata management, and data lineage . Experience in
agile/scrum
environments. Exposure to
machine learning
or statistical modeling concepts is a plus.
Senior Data Analyst
Location:
Pittsburgh, PA/ Dallas, TX/ Cleveland, ohio (Hybrid)
Job Type:
Full-Time
Experience Level:
Senior
Job Summary:
PNC Bank is seeking a highly skilled and detail-oriented
Senior Data Analyst
with strong experience in
Python ,
PySpark , and
banking/financial services . This role involves working with large datasets, developing data pipelines, and generating insights to support strategic business decisions.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines using
PySpark
on distributed platforms (e.g., Hadoop, Databricks, or similar). Perform data extraction, transformation, and analysis using
Python , SQL, and Spark. Collaborate with business stakeholders to gather requirements and deliver actionable insights through dashboards, reports, and data visualizations. Analyze structured and unstructured data from internal banking systems to support business and regulatory needs. Partner with engineering and data science teams to operationalize machine learning models and analytics solutions. Ensure data quality, accuracy, and consistency across analytical solutions. Document business rules, data flows, and process logic in compliance with data governance standards. Lead or mentor junior analysts and collaborate with cross-functional teams across product, risk, compliance, and IT.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, Statistics, or related field. 5+ years of professional experience in data analytics or data engineering roles. Strong proficiency in
Python
(Pandas, NumPy, etc.) and
PySpark . Experience working on
distributed data systems
such as Hadoop, Hive, or Databricks. Deep understanding of
SQL
for querying large datasets. Prior experience in the
banking or financial services
industry, with knowledge of core banking functions (e.g., deposits, lending, credit risk, regulatory compliance). Experience with data visualization tools such as
Tableau, Power BI, or Matplotlib . Strong communication skills and ability to translate complex data into business insights.
Preferred Skills:
Familiarity with
cloud platforms
(AWS, Azure, or GCP). Knowledge of
data governance, metadata management, and data lineage . Experience in
agile/scrum
environments. Exposure to
machine learning
or statistical modeling concepts is a plus.