Job Title: Senior/Lead Data Analyst CapitalOne
Location: Richmond and Mclean Virginia
Who we are
Tiger Analytics is a global leader in AI and analytics helping Fortune 1000 companies solve their toughest
challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real
outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to
help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to
shape a better tomorrow.
We are looking for a Senior/Lead Data Analyst - with strong experience in Python SQL Snowflake Regex and
cloud technologies. The ideal candidate will have hands-on experience working with SQL data analysis and
consulting and performing data analysis to support business insights and decision-making.
This role requires someone who is comfortable working with large datasets transforming data and
collaborating with cross-functional teams in a fast-paced environment.
Key Responsibilities
- Partner with business stakeholders to understand and translate business needs into solution requirements.
- Transaction Mapping: Using Regex(must have) to map messy raw card data to merchant entities via internal platforms.
- Snowflake Analysis: Querying large-scale datasets to monitor volumes and identify anomalies.
- QA & Root Cause: Identifying logic failures in merchant naming conventions and refining rules.
- Collaboration: Working with a horizontal team of Product and Tech stakeholders to drive program strategy.
- Consume and manage data from AWS S3 and integrate with downstream systems.
- Leverage Snowflake for data warehousing modeling and performance optimization.
- Build and maintain dashboards (Tableau Power BI or QuickSight) for business stakeholders.
- Collaborate with cross-functional teams to translate business requirements into data solutions
Requirements
- Bachelors degree in Computer Science or any related field
- 7 years of experience in Data Analytics in Banking/Consulting roles.
- SQL: Expert proficiency required specifically for Snowflake.
- Experience with data visualization tools (Power BI Tableau Looker etc.).
- Hands-on with AWS (S3) and Snowflake
- Understanding of banking/financial services data is must have
- Experience working in a client-facing or consulting environment.
- Hands-on experience in data analysis data profiling and exploratory analysis.
- Hands-on experience in analyzing identifying and documenting transformation logic and rules.
- Excellent teamwork and problem-solving abilities.
Job Title: Senior/Lead Data Analyst CapitalOne Location: Richmond and Mclean Virginia Who we are Tiger Analytics is a global leader in AI and analytics helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses ...
Job Title: Senior/Lead Data Analyst CapitalOne
Location: Richmond and Mclean Virginia
Who we are
Tiger Analytics is a global leader in AI and analytics helping Fortune 1000 companies solve their toughest
challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real
outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to
help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to
shape a better tomorrow.
We are looking for a Senior/Lead Data Analyst - with strong experience in Python SQL Snowflake Regex and
cloud technologies. The ideal candidate will have hands-on experience working with SQL data analysis and
consulting and performing data analysis to support business insights and decision-making.
This role requires someone who is comfortable working with large datasets transforming data and
collaborating with cross-functional teams in a fast-paced environment.
Key Responsibilities
- Partner with business stakeholders to understand and translate business needs into solution requirements.
- Transaction Mapping: Using Regex(must have) to map messy raw card data to merchant entities via internal platforms.
- Snowflake Analysis: Querying large-scale datasets to monitor volumes and identify anomalies.
- QA & Root Cause: Identifying logic failures in merchant naming conventions and refining rules.
- Collaboration: Working with a horizontal team of Product and Tech stakeholders to drive program strategy.
- Consume and manage data from AWS S3 and integrate with downstream systems.
- Leverage Snowflake for data warehousing modeling and performance optimization.
- Build and maintain dashboards (Tableau Power BI or QuickSight) for business stakeholders.
- Collaborate with cross-functional teams to translate business requirements into data solutions
Requirements
- Bachelors degree in Computer Science or any related field
- 7 years of experience in Data Analytics in Banking/Consulting roles.
- SQL: Expert proficiency required specifically for Snowflake.
- Experience with data visualization tools (Power BI Tableau Looker etc.).
- Hands-on with AWS (S3) and Snowflake
- Understanding of banking/financial services data is must have
- Experience working in a client-facing or consulting environment.
- Hands-on experience in data analysis data profiling and exploratory analysis.
- Hands-on experience in analyzing identifying and documenting transformation logic and rules.
- Excellent teamwork and problem-solving abilities.
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