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Teradata Finance Jobs

4 jobs found

Today

Data Analyst - Finance

Auto Club Of Southern Calif Costa Mesa, CA

Costa Mesa, CA

Today

$75k - $100k/yr Full time Data Analysis Data Analytics Data Visualization

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Job Description

The Data Analyst will provide analytical and organizational support to Finance operations and management at Auto Club of Southern Calif. This onsite role in Costa Mesa, CA focuses on reporting, data processing, and visualization, including the development and maintenance of a predictive churn model.

Key Responsibilities

Under general supervision, develop SQL scripts and long-term reporting using tools and languages such as SQL, Teradata, Tableau, and Excel; identify and analyze trends and apply root cause analysis with practical solutions.
Deliver ad hoc data analysis across multiple source systems using SQL, Teradata, Tableau, Excel, and Access.
Design, build, and maintain a predictive churn model; develop internal reports on key churn indicators and provide ad hoc reporting as required.
Organize projects with clear planning to support timely delivery of initiatives.
Document existing and newly created processes for implementation in production systems.
Meet with Team and Management regarding semi-complex production reporting and enhancements, including discussion of challenges with recommendations and solutions.
Collaborate with other Business Units, including Big Data, Marketing, and Product Management, to support shared goals and objectives.
Query large data sets, validate data, and perform User Acceptance Testing (UAT).
Create specialized reports and dashboards.
Troubleshoot and resolve data issues, including developing solutions for complex data problems.
Develop calculations used to compute incentives, goals, and forecasts.

Required Qualifications

Bachelor’s equivalent combination of education and experience.
1–3 years of experience in a traditional data or analytics corporate environment.
1–3 years of experience compiling, analyzing, and reporting qualitative and quantitative data.
1–3 years of experience manipulating data using SQL, Python, R, or related technologies.
Professional verbal and written communication skills.
Strong SQL skills with data mining knowledge.
Advanced Excel skills, including VBA, macros, and complex calculations.
Ability to rapidly learn new processes, databases, and applications.

Preferred Skills

Tableau experience.
Python experience.
Experience with statistical churn modeling.

Tools and Technologies

SQL, Python, R
Teradata, Tableau
Excel, Access
AWS, Snowflake
VBA, macros
User Acceptance Testing (UAT)

Compensation and Location

Location: Costa Mesa, CA (onsite)
Salary Range: USD 74,500 - 99,500 per year
Minimum Experience: 1 years

Benefits

Health coverage for medical, dental, vision
401(K) saving plans with company match AND Pension
Tuition assistance
Floating holidays and PTO for community volunteer programs
Paid parental leave
Wellness programs
Employee discounts (membership, insurance, travel, entertainment, services and more!)

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3mo ago

Data Engineer, Finance Data & BI

MCKESSON Richmond, VA

Richmond, VA

3mo ago Closed

$107k - $178k/yr Full time Analytics Business Intelligence Cloud

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

Data Engineer on McKesson's Finance Solutions team designs, builds, and maintains scalable data pipelines and analytics-ready datasets to support Finance Data & BI, enabling reporting, planning, forecasting, automation, and AI/ML while upholding governance.

Responsibilities

Tackle end-to-end data engineering challenges across the stack, from advanced data wrangling with SQL, Python, Spark, or equivalents to delivering production‑grade data products for stakeholders
Architect new data systems and rework existing architectures, refining data models, relational schemas, and database logic
Build, validate, and operate scalable ETL/ELT pipelines on modern cloud platforms that enable advanced analytics and AI/ML workloads
Create and sustain database code, including stored procedures, functions, and performance‑optimized transformations
Establish and maintain ETL workflows and contribute to CI/CD deployment pipelines using GitHub Actions or similar tooling
Implement and optimize data models, such as dimensional modeling, within the Finance data environment
Tune data architecture for performance, scalability, and cost efficiency across large financial datasets
Design automated data quality checks, anomaly detection, and validation processes to ensure accuracy for downstream analytics and AI use cases
Ensure data solutions comply with financial governance and SOX requirements
Collaborate with Finance teams (Accounting, FP&A), BI, and Data Product partners to translate complex business requirements into scalable technical solutions
Communicate technical concepts clearly to non‑technical stakeholders, balancing innovation with risk controls
Enable trusted data environments required for forecasting models, scenario planning, and AI‑driven insights
Contribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies

Requirements

4+ years of relevant data engineering experience
4+ years of hands‑on experience as a Data Engineer
4+ years of experience with data warehouses, cloud platforms, relational databases, and data visualization or dashboarding tools
4+ years handling structured and unstructured data in batch and real‑time processing environments
Strong proficiency in object‑oriented languages such as Python, Java, or C#
Demonstrated experience with Google Cloud Platform (GCP) preferred; familiarity with Snowflake, Databricks, Microsoft, or Teradata is a plus
Proven enterprise experience building and optimizing cloud‑based data solutions, supporting business‑critical systems, and designing or supporting production‑scale AI/ML data pipelines
Experience with data governance by design, data warehousing and ETL best practices, and CI/CD with GitHub

Technologies

SQL
Python
Spark
Google Cloud Platform (GCP)
GitHub Actions
GitHub
Matillion
PySpark
Oracle JD Edwards
Snowflake
Databricks
Teradata
Java
C#

Benefits

Base pay range: $106,500 - $177,500 per year
Annual bonus or long‑term incentive opportunities may be offered

Hybrid Expectations

This position is based in Richmond, VA with a hybrid schedule requiring 3 to 5 days in the office each month
Candidates must currently reside within a reasonable commuting distance (within 60 miles of Richmond)
Relocation assistance is not available for this role

Compensation

Base salary: $130,000 to $140,000
10% Annual Incentive

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4mo ago

Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) – Financial Services Office (Manager) (Multiple Positions)

EY Dallas, TX

Dallas, TX

4mo ago Closed

$157k+/yr Full time Manager Analyst Analytics

This position is no longer accepting applications (closed Jun 25, 2026).

Job Description

EY's Technology Consulting practice in the Financial Services Office is looking for a Manager-level Data Analyst based in Dallas, TX. In this role, you will shape data strategy, governance, and end-to-end data solutions while leading diverse teams, with up to 60% travel to meet client needs. The position offers a competitive compensation of USD 157,414 per year and a hybrid work model designed to balance collaboration with flexibility. EY emphasizes continuous learning, transformative leadership, and an inclusive culture that values every perspective.

Benefits

Medical and dental coverage
Pension and 401(k) plans
Paid time off options
Flexible vacation policy
Time off for EY designated holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence
Hybrid model that supports collaboration and leadership
Continuous learning to develop the mindset and skills for future opportunities
Tools and flexibility to make a meaningful impact in your own way
Leadership development through insights, coaching, and confidence to lead effectively
Diverse and inclusive culture that values every voice

Responsibilities

Collaborate with clients to transform data usage and governance by designing data strategies and delivering end-to-end solutions that improve the data supply chain, reengineer processes, strengthen risk controls, and enable information intelligence with advanced technologies
Address complex challenges and drive growth across financial services
Define data and analytics strategies through assessments, remediation recommendations, and future-state solution design
Lead and coach diverse teams of professionals from varying backgrounds
Coordinate cross-functional teams to ensure accountability for tasks and timelines
Propose and implement new technologies to enhance or replace existing processes
Contribute to thought leadership via white papers, point of views, and proofs of concept
Develop problem-solving approaches that combine logical reasoning with creative methods
Engage and influence large teams and functional leaders
Motivate teams with varied skills and backgrounds
Deliver high-quality client services by monitoring progress and outcomes
Demonstrate deep technical capabilities and professional knowledge
Maintain long-term client relationships and networks
Cultivate new business development opportunities

Requirements

Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field with 5 years of progressive post-baccalaureate experience; or a Master's degree in a related field with 4 years of related experience
At least 2 years of experience in the banking, capital markets, insurance or asset management industry
Distributed processing experience (Spark, Hadoop, or EMR)
Traditional RDBMS experience (MS SQL Server, Oracle, MySQL, or PostgreSQL)
MPP experience (AWS Redshift or Teradata)
NoSQL experience (MongoDB, DynamoDB, Cassandra, Neo4J, or Titan)
Cloud platforms experience (AWS, Azure, Google Cloud Platform, or Databricks)
Data governance, lineage and quality tools experience (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID)
At least 3 years of experience using technologies, frameworks or methodologies for data ingestion, storage, mining, warehousing, big data analytics, manipulation, or visualization
At least 3 years of experience managing teams through a product or project management lifecycle, including requirements, design, development and testing
At least 3 years of experience quantifying improvements in business areas resulting from optimization techniques using analytics or statistical modeling
Domestic and regional travel up to 60% to meet client needs
Employer will accept any suitable combination of education, training or experience

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4mo ago

Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) - Financial Services Office (Senior) (Multiple Positions)

EY Charlotte, NC

Charlotte, NC

4mo ago Closed

$136k - $136k/yr Full time Alation Analyst Analytics

This position is no longer accepting applications (closed Jun 21, 2026).

Job Description

This senior data analyst role sits within EY's Technology Consulting practice (Data & Analytics), with a focus on Data Governance and Controls for Financial Services. The position involves designing data strategies and delivering end-to-end data solutions for clients in a hybrid work setting based in Charlotte, NC.

Responsibilities

Collaborate with clients to reshape data usage and governance by architecting data strategies and delivering end-to-end solutions that strengthen the data supply chain, streamline processes, enhance risk controls, and enable information-driven insights through modern technologies.
Address complex challenges and contribute to growth across the financial services sector.
Develop data and analytics roadmaps by assessing current state, recommending remediation options from a consolidated gap view, and designing and implementing future-state data and analytics solutions.
Build and maintain relationships with client stakeholders at appropriate levels.
Track progress, manage risk, and keep key stakeholders informed of milestones and expected outcomes.
Set and manage expectations regarding client service delivery.
Maintain awareness of current business and industry trends relevant to the client's sector.
Offer technical guidance and share knowledge with team members from diverse backgrounds.
Consistently deliver high-quality client services, focusing on complex, judgmental, and specialized issues.
Demonstrate strong technical capabilities and professional knowledge.
Familiarize with EY service lines and actively identify opportunities to apply knowledge and services to client needs.

Requirements

A Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field with 2 years of related work experience; or a Master’s degree in one of these fields with 1 year of related work experience.
At least 1 year of experience in the banking, capital markets, insurance, or asset management industry.
At least 1 year of experience in at least one of the following domains: distributed processing (Spark, Hadoop, EMR); traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL); MPP (AWS Redshift, Teradata); NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan); cloud platforms (AWS, Azure, Google Platform, Databricks); data governance, lineage and quality tools (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, Big ID).
At least 1 year of experience with technologies, frameworks or methodologies for data ingestion, storage, mining, warehousing, big data analytics, manipulation, or visualization.
At least 1 year of experience in product and/or project management across the full lifecycle stages, including requirements, design, development and testing.
At least 1 year of experience quantifying improvements in business areas resulting from optimization techniques through business analytics and/or statistical modeling.
Domestic and regional travel up to 60 percent to meet client needs.

Technologies

Spark
Hadoop
EMR
MS SQL Server
Oracle
MySQL
PostgreSQL
AWS Redshift
Teradata
NoSQL: MongoDB, DynamoDB, Cassandra, Neo4J, Titan
Cloud platforms: AWS, Azure, Google Platform, Databricks
Data governance and quality tools: Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, Big ID

Benefits

Base salary
Medical and dental coverage
Pension and 401(k) plans
Paid time off options
Hybrid work model
Flexible vacation policy
EY paid holidays time off
Winter and Summer breaks
Personal and family care leave
Other leaves of absence for well-being

Nearest Major Market

Charlotte

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