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Oracle Bi Data Jobs

9 jobs found

2d ago

Managed Services - Data Engineer - Experienced Associate

PRICE WATERHOUSE COOPERS Pittsburgh, PA

Pittsburgh, PA

2d ago

$63k - $140k/yr Full time Analytics Business Intelligence Cloud

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Job Description

PwC Managed Services focuses on building data driven solutions, data pipelines, and analytics that help clients improve performance. The role emphasizes continuous learning, meaningful client engagement, and turning data insights into business impact in a collaborative environment.

Location: Pittsburgh, PA (onsite) • Salary: $63,000–$140,000 per year • Education: Bachelor's degree • Experience: 1+ years

Benefits

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Holiday pay
Vacation
Personal and family sick leave
Annual discretionary bonus

The Opportunity

As a Managed Services Data Engineer, Experienced Associate, you will apply data and analytics to deliver strategic insights and support client decision making. Within the Data and Analytics practice, you will design and implement innovative solutions aimed at optimizing business performance and strengthening competitive advantage. The role prioritizes learning, client collaboration, and contributing to projects while growing your technical and business acumen.

Responsibilities

Design and deploy data driven solutions to boost performance and competitive edge, covering data engineering and ETL processes
Apply advanced analytics techniques to generate strategic insights and inform client decisions, including SQL optimization
Build and maintain data pipelines to enable efficient data collection and analysis using DataStage
Create reports and dashboards with business intelligence tools such as Oracle BI and QlikView, drawing from DB2 and SQL Server data
Collaborate with teammates to gather and analyze data from multiple sources to identify patterns and trends using star schemas and dimensional modeling
Leverage data architecture development skills to design and sustain robust database management systems with snowflake models
Contribute to ongoing process improvements to enhance data quality and integrity
Support client engagement by listening to diverse perspectives and needs in regulated environments
Participate in developing business cases and market development strategies through data analysis and interpretation
Adapt to a fast paced environment and take ownership of tasks to deliver consistent quality, including tasks related to job scheduling and UNIX

Requirements

Bachelor's degree
1+ years of experience

Technologies

DataStage
Oracle BI
QlikView
SQL Server
DB2
SQL
Spotfire
Python
Java
UNIX
Snowflake

What Sets You Apart

Interest in fields such as Computer and Information Science, Economics, Engineering, or related disciplines
Proficiency in Python and Java
Experience with data visualization tools like QlikView and Spotfire
Background building BI solutions using Oracle BI
Experience in data architecture development and management
Ability to apply economic analysis techniques to data insights
Strong skills in data analysis and interpretation

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4d ago

Managed Services - Senior Data Engineer - Senior Manager

PwC Phoenix, AZ

Phoenix, AZ

4d ago

$124k - $280k/yr Full time Manager Senior Amazon Web Services

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Job Description

This Senior Data Engineer - Senior Manager position within PwC's Technology Consulting practice is based onsite in Phoenix, AZ. The role leads data analytics initiatives, develops innovative data solutions, and guides teams to deliver data driven client outcomes.

Responsibilities

Design and implement innovative solutions to improve business performance and strengthen competitive positioning, including roadmap development and solution optimization.
Apply advanced analytics techniques to support client operations and strategic goals, leveraging AWS data engineering capabilities and Amazon Redshift.
Create and maintain data pipelines and architectures to enable business intelligence efforts using DataStage and ETL processes.
Deploy data visualization tools to provide actionable insights and improve client outcomes, utilizing SQL Server and DB2 in the stack.
Collaborate with stakeholders to identify data challenges and opportunities, aligning with managed services expectations and service level agreements.
Coach and motivate teams to solve complex problems and deliver high quality results.
Apply systems thinking to uncover underlying problems and opportunities within client projects, including workload orchestration and scheduling.
Validate outcomes with clients and incorporate feedback to refine solutions, focusing on CSAT and performance tuning.
Lead teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

Bachelor's degree required.
Minimum of 6 years of experience.

Technologies

AWS
Redshift
DataStage
ETL
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

medical
dental
vision
401k
holiday pay
vacation
personal and family sick leave

The Opportunity

As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision making for clients. Within PwC's Technology Consulting practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. In the Senior Manager role, you will apply your skills and professional network to deliver quality results, mentoring and coaching teams to solve complex problems.

What Sets You Apart

Preference for at least one of the following fields of study: Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Operations Management/Research; Statistics; Engineering.
Demonstrating advanced skills in data architecture development and data pipeline management.
Utilizing Python and Java for complex data analysis and visualization.
Excelling in business intelligence tools like QlikView and Oracle BI.
Leading strategic questioning and stakeholder engagement initiatives.
Applying systems thinking to identify underlying problems and opportunities.
Directing teams through complex and ambiguous situations.

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6d ago

Data Analyst - 1st Shift

GXO Logistics New Albany, OH

New Albany, OH

6d ago

Full time Analyst Analytics Business Analytics

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Job Description

GXO Logistics offers an onsite data analytics role in New Albany, Ohio on the first shift. The Data Analyst will analyze data, develop analytics solutions, and partner with customers and leadership to prioritize information needs. You will translate complex results into clear insights, build scalable analytics approaches, and help cross‑functional teams interpret data from multiple sources. If you enjoy turning data into actionable business outcomes and collaborating with stakeholders, this is a role that supports growth within a data‑driven organization.

Benefits

Full health insurance (medical, dental and vision)
401(k)
Life insurance
Disability coverage

Responsibilities

Gather data and research results using statistical techniques and advanced analytics tools, then interpret findings in an accessible way
Develop and implement advanced data research, analytics, and solutions that align with business needs
Identify, analyze, and interpret trends, patterns, and relationships in complex data sets
Collaborate with customers and executive leadership to prioritize business and information needs
Define and create solutions that make data interpretation and relationship identification manageable across diverse data sources
Identify opportunities for continuous improvement

Requirements

Bachelor’s degree or equivalent related work or military experience
1 year of technical experience with data models, database design development, data mining, and segmentation techniques
Strong knowledge of business intelligence tools and programming languages, including Tableau, Oracle BI, Power BI, R, and Python
Solid grounding in statistics and experience using statistical packages for analyzing datasets

Technologies

Tableau
Oracle BI
Power BI
R
Python

Nice to have

Solid research skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, writing reports, and presenting findings
Understanding of machine learning, data mining, and experience in algorithmic program development and coding

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6d ago

Managed Services - Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Las Vegas, NV

Las Vegas, NV

6d ago

$124k - $280k/yr Full time Manager Senior Advanced Analytics

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Job Description

PwC's Technology Consulting practice seeks a Senior Data Engineer - Senior Manager to translate data into strategic guidance for client decisions. In an onsite role in Las Vegas, NV, you will lead cross-functional teams, shape data architectures, and coach delivery professionals to achieve measurable outcomes. The position offers a salary range of USD 124,000 to 280,000 per year and requires a Bachelor's degree plus at least six years of relevant experience.

Responsibilities

Develop innovative solutions to optimize business performance and enhance competitive advantage, including roadmap development.
Apply advanced analytics techniques to support client operations and strategic goals, including AWS data engineering and Redshift.
Build and maintain data pipelines and architectures to support business intelligence efforts using DataStage and ETL.
Implement data visualization tools to provide actionable insights and improve client outcomes, leveraging SQL Server and DB2.
Collaborate with stakeholders to identify data challenges and opportunities, ensuring managed services align with SLAs.
Coach and motivate teams to solve complex problems and deliver high-quality results.
Apply systems thinking to identify underlying problems and opportunities within client projects, including workload orchestration and scheduling.
Validate outcomes with clients and incorporate feedback to refine solutions, including CSAT-driven performance tuning.
Direct teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

Bachelor's degree
At least 6 years of experience

Technologies

AWS
Redshift
DataStage
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

medical
dental
vision
401k
holiday pay
vacation
personal and family sick leave

The Opportunity

As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Technology Consulting practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems.

What Sets You Apart

Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
Demonstrating advanced skills in data architecture development and data pipeline management
Utilizing Python and Java for complex data analysis and visualization
Excelling in business intelligence tools like QlikView and Oracle BI
Leading strategic questioning and stakeholder engagement initiatives
Applying systems thinking to identify and address underlying problems
Directing teams through complex and ambiguous situations

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9d ago

Business Intelligence & Data Analyst

University of Minnesota Minneapolis, MN

Minneapolis, MN

9d ago

Full time Analyst Analytics Business Analytics

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Job Description

The University of Minnesota in Minneapolis offers a hybrid work arrangement for professionals joining the student data team as a Business Intelligence and Data Analyst. This role centers on building and maintaining reports and data warehouse solutions using OBIEE and Oracle Analytics Cloud, with a focus on data modeling, ETL, and RPD development to translate data analysis into actionable insights that support enterprise reporting for student data.

Responsibilities

Develop data warehouse subject areas to enable robust business intelligence.
Support end users in the use of the data warehouse and BI platform.
Write and validate test scripts to ensure data integrity and report accuracy.
Design, document, develop, and test reports to meet stakeholder needs.
Maintain and support existing reports to ensure ongoing reliability.
Analyze and interpret data to derive meaningful conclusions.
Collaborate with team members and stakeholders to understand business needs and rules.
Serve as an ASR developer and coordinate with the Office of Information Technology on enterprise-wide student projects.
Design, build, test, document, deploy, and maintain operational and strategic reports.
Support the development of BI solutions and underlying student data warehouse subject areas.
Work with stakeholders to capture business logic and ensure its accurate representation in data analyses.
Analyze data to identify trends and develop data-driven narratives that support student success.
Communicate data findings and insights to diverse stakeholders and provide strategic recommendations.
Create and maintain user documentation and training resources for BI solutions.
Contribute to continuous improvements in the data and analytics strategy and processes.
Engage the student data user community to promote effective use of Student Data Analytics solutions.
Ensure the availability and quality of data and reports to meet service expectations.
Assist in the rapid resolution of production issues.
Develop and maintain subject matter expertise in student data.
Stay current on data, visualization, and analytics trends, topics, and technologies.
The employer reserves the right to change or add duties consistent with the job classification.

Requirements

BA/BS degree with two years of work experience or a master’s degree.
Understanding of relational databases and programming experience.
Intermediate SQL proficiency.
Experience working with complex data sets from multiple sources.

Technologies

OBIEE (Oracle Business Intelligence Enterprise Edition)
Oracle Analytics Cloud (OAC)
SQL
RPD

Preferred Qualifications

Ability to engage stakeholders in data analysis and interpretation in meaningful and effective ways.
Advanced SQL proficiency, including Common Table Expressions (CTEs), window functions, query optimization, and indexing, with a focus on data warehousing principles.
STAR data modeling experience.
Demonstrated ability to translate technical data findings into actionable insights for non-technical stakeholders.
Experience working in higher education.

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11d ago

Principal Data Engineer

Oracle Nashville, TN

Nashville, TN

11d ago

Full time Senior Analytics Big Data

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Job Description

The Principal Data Engineer role based in Nashville, Tennessee (onsite) leads Data Engineering, BI, and Analytics initiatives for OCI, blending hands-on engineering with program leadership to design scalable data platforms and reporting solutions across Oracle Cloud Infrastructure.

Responsibilities

Design, build, and scale data pipelines that consolidate data from multiple OCI systems and services.
Create robust data models, datasets, and reporting frameworks supporting engineering, operations, customer success, and executive leadership.
Architect scalable analytics platforms that undergird strategic customer programs and operational decisions.
Develop enterprise-grade data solutions to improve visibility into customer adoption, health, service performance, and business outcomes.
Automate data ingestion, transformation, and reporting processes to reduce manual effort and increase data accuracy.
Establish standards for data quality, governance, lineage, and observability across critical datasets.
Collaborate with engineering teams to define telemetry, instrumentation, and data collection strategies.
Perform in-depth analyses of large, complex datasets to surface trends, opportunities, risks, and bottlenecks.
Promote modern data engineering practices, tools, and technologies across the organization.
Lead large, cross-functional initiatives spanning engineering, product, operations, and executive leadership.
Decompose ambiguous business problems into actionable technical workstreams and measurable deliverables.
Develop functional specifications and drive execution from concept through delivery.
Identify process gaps and implement scalable mechanisms to improve efficiency and execution.
Manage program schedules, dependencies, risks, and stakeholder communications.
Anticipate bottlenecks, escalate when needed, and balance technical constraints with business priorities.
Align OCI organizations toward shared objectives and customer outcomes.
Engage with cross-functional teams including Engineers, Product Managers, Architects, Customer Success leaders, and Executive Leadership.
Operate effectively in a fast-paced, ambiguous environment while delivering measurable business value.

Data Engineering & Analytics Leadership

Mentor junior team members to capture data requirements and business objectives for initiatives.
Contribute expertise to the design and construction of data infrastructure that optimizes processing from diverse sources.
Analyze, design, and troubleshoot data flows, participating in architecture reviews for performance and security.
Adapt data collection processes and ETL pipelines for better efficiency and accuracy.
Engage with upstream and downstream teams to ensure adherence to defined SLAs.
Manage relationships with data providers to sustain reliable data access.

Business Intelligence & Executive Reporting

Deliver BI solutions that provide clear visibility into customer health, operations, and strategic objectives.
Develop executive dashboards, KPI frameworks, scorecards, and reporting used by senior leadership.
Partner with business leaders to define success metrics and reporting requirements.
Build scalable semantic models and datasets enabling self-service analytics across units.
Transform raw data into actionable insights and recommendations for decision makers.
Standardize reporting methodologies and establish trusted sources of truth for key metrics.
Support strategic planning, investments, and customer engagement through data-driven analysis.

Technical Program Management & Strategic Execution

Lead large, cross-functional programs spanning engineering, product, operations, and leadership.
Break down complex problems into executable technical workstreams with clear deliverables.
Draft functional specifications and drive end-to-end delivery from concept to rollout.
Identify process gaps and implement scalable mechanisms to improve organizational efficiency.
Oversee program schedules, dependencies, risks, and stakeholder communications.
Manage bottlenecks, escalations, and balance technical constraints with business priorities.
Coordinate across OCI teams to pursue shared objectives and customer outcomes.
Lead collaborations with Engineers, Product Managers, Architects, Customer Success leaders, and Executives.
Operate effectively in a fast-moving, ambiguous environment while delivering value.

Data Processing & Pipelining — Data Requirements, Collection, and Infrastructure

Mentor team members to identify data requirements and business objectives for initiatives.
Provide expertise in designing and building data infrastructure to optimize processing from diverse sources.
Independently analyze, design, and troubleshoot data flows aligned with business needs.
Participate in architecture, performance, and security reviews of technical solutions.
Refine data collection processes for indexing and query performance.
Develop ETL pipelines to support scalable data collection and extraction.
Ensure upstream and downstream teams comply with defined SLAs and data contracts.
Manage relationships with data providers to sustain reliable data access.

Data Processing & Pipelining — Data Governance

Design and implement data governance policies to ensure data consistency, integrity, and reliability across the lifecycle.
Lead redaction of PII and PHI data to maintain privacy and security compliance.
Minimize data collection and usage in line with data minimization principles.
Implement data security measures to prevent unauthorized access or misuse, and escalate issues as needed.
Ensure data handling complies with applicable laws, regulations, and standards.

Data Processing & Pipelining — Data Validation & Quality Assurance

Contribute to data validation and integrity checks to prevent quality issues in pipelines and models.
Mentor on data annotation and labeling to uphold data quality standards.
Identify opportunities to automate validation and governance workflows.
Correct deviations and non-conformances independently when identified.

Data Pipeline & Solutions Engineering — Pipeline Design

Apply advanced ETL knowledge to design and optimize automated, scalable data pipelines and reusable data products.
Implement storage solutions enabling efficient access and analysis of processed data.
Mentor team members to manage data flow and storage operations.

Data Pipeline & Solutions Engineering — Data Solutions Engineering

Work autonomously and with peers in an agile environment to build scalable, cost-effective data solutions.
Review code, assist with testing and debugging, and evaluate new technologies for robust data solutions.
Enforce coding standards and document design decisions for architecture alignment.
Document data-driven design choices and secure necessary approvals with evidence.

Core Responsibilities — Planning & Execution

Oversee moderately complex tasks, ensuring timely delivery and requirement adherence for projects.
Delegate, monitor, and prioritize work across multiple initiatives, adjusting plans as resources shift.

Core Responsibilities — Collaboration & Partnership

Collaborate across the organization to align expectations and achieve shared goals.
Leverage relationships with business leaders, stakeholders, and customers to ensure solutions meet needs.
Promote inclusive practices by listening to diverse perspectives and ensuring each voice is heard.

Core Responsibilities — Problem Solving

Address moderately complex issues by analyzing data to derive solutions consistent with standard practices.
Escalate unresolved issues with thorough assessment and propose potential remedies.
Document problem-solving approaches and continuously improve strategies.

Core Responsibilities — Continuous Learning

Pursue opportunities to expand knowledge, staying current with industry trends and tools.
Seek feedback and training to enhance skills, and mentor junior colleagues.

Core Responsibilities — Continuous Improvement

Propose and implement process improvements to increase efficiency and effectiveness across teams.
Solicit feedback on new approaches and methods to support ongoing advancement.

Core Responsibilities — Performance & Development

Contribute to talent development by participating in candidate evaluations and providing hiring input.

Requirements

BS degree or equivalent in Computer Science, Engineering, Information Systems, Data Science, or related field
7+ years in Data Engineering, Analytics Engineering, Technical Program Management, Software Engineering, or related technical roles
Experience designing and maintaining large-scale data pipelines, ETL/ELT frameworks, and cloud-based data platforms
Background in BI solutions, executive dashboards, KPI frameworks, and operational reporting
Advanced SQL skills with large-scale datasets
Experience with data modeling, data warehousing, analytics platforms, and reporting architectures
Strong understanding of cloud technologies, distributed systems, and software development lifecycles
Ability to translate complex data findings into actionable business recommendations
Experience partnering with engineering, product, operations, and business stakeholders to define requirements
Excellent written and verbal communication for technical and executive audiences
Proven track record leading large, cross-functional initiatives
MS degree or equivalent in Computer Science, Data Engineering, Analytics, or related field
10+ years in Data Engineering, Analytics Platforms, BI, TPM, or Software Development
Experience building enterprise-scale data lakes, data warehouses, and analytics platforms
Familiarity with cloud-native architectures, distributed systems, and OCI services
Experience with Spark, Kafka, Airflow, Databricks, Snowflake, BigQuery, OCI Data Flow, or similar tools
Experience with Oracle Analytics Cloud, Tableau, Power BI, Looker, or similar BI platforms
Experience implementing data governance, data quality, metadata management, and observability frameworks
Experience developing self-service analytics and semantic data models
Experience working with large enterprise customers and strategic cloud initiatives

Technologies

Spark
Kafka
Airflow
Databricks
Snowflake
BigQuery
OCI Data Flow
Oracle Analytics Cloud (OAC)
Tableau
Power BI
Looker
SQL
Oracle Cloud Infrastructure (OCI)

What Success Looks Like

Trusted data platforms and BI solutions underpin decision-making across OCI Strategic Customer Engineering
Executives have real-time visibility into customer outcomes, operational performance, and business health
Manual reporting is automated, replaced by scalable, self-service analytics capabilities
Strategic customer programs run more effectively due to improved data access, insights, and transparency
Cross-functional teams align on a common set of metrics and business outcomes
Data-driven insights influence customer success, operational excellence, and OCI growth initiatives

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12d ago

Supply Chain Data Analyst (Food Manufacturing)

ilocatum Chicago, IL 🇺🇸 Remote

Chicago, IL

12d ago

$70k - $90k/yr Full time Analyst Analytics Business Analytics

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Job Description

Remote-friendly, full-time direct-hire role in Chicago, IL, with onsite training in Gridley, IL, offering USD 70,000 - 90,000 per year.

Responsibilities

Design, maintain, and enhance dashboards, reports, and analytics for the supply chain.
Produce recurring reports for leadership, operations, procurement, finance, and executive reviews.
Detect data gaps, process inconsistencies, and reporting limitations that hinder visibility or decision quality.
Integrate data from procurement, production, inventory, warehousing, logistics, quality, sales, and finance to reveal efficiency opportunities.
Create tools that provide departments with a single, trusted data source.
Identify bottlenecks, process delays, inventory imbalances, and drivers of cost.
Assess inventory metrics such as on-hand quantities, days of supply, safety stock, reorder points, usage trends, and material availability.
Develop dashboards that highlight understocked, overstocked, or demand-misaligned materials.
Deliver data-driven purchasing recommendations to planning and procurement teams.
Monitor supplier performance including on-time delivery, adherence to lead times, price accuracy, and quality documentation.
Aid in the development and maintenance of supplier scorecards.
Analyze purchase price variance, cost trends, and sourcing opportunities.
Use data to identify inefficient workflows, manual processes, and recurring operational issues.
Contribute to standardizing metrics, definitions, data sources, and reporting cadence.
Collaborate on cross-functional projects focused on cost control, inventory improvement, and system reliability.

Requirements

3 to 5 years of experience in supply chain analytics or related data analytics domains such as operations, procurement, inventory, BI, or data analysis.
Proficiency with Power BI, Tableau, SQL, Power Query, or equivalent reporting and visualization tools.
Experience working with ERP systems or large-scale operational data sets.
Background in food manufacturing, CPG, ingredients, packaging, warehousing, logistics, or multi-site manufacturing.

Technologies

Power BI
Tableau
SQL
Power Query
Microsoft Dynamics
Aptean F&B
Catalyst
SAP
NetSuite
Oracle

Benefits

Medical options including PPO or HSA with employer contributions
Dental, vision, life, AD&D, and disability insurance
401(k) with competitive company match
Holidays, vacation accrual, PTO, and parental leave
Tuition reimbursement
Uniforms and boots provided
Employee assistance program, paid volunteer days, and referral bonuses

Nice to Have

Experience with ERP systems such as Microsoft Dynamics, Aptean F&B, Catalyst, SAP, NetSuite, Oracle, or similar
Experience supporting ERP migrations, system conversions, data cleanup, or master data improvement projects
Familiarity with item master data, BOMs, purchase orders, inventory transactions, and production reporting
Bachelor's degree in supply chain, business, economics, operations management, finance, or related field

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17d ago

Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Miami, FL

Miami, FL

17d ago

$124k - $280k/yr Full time Manager Senior Analytics

26d ago

Financial Data Analyst- Business Intelligence - Full Time (Hybrid)

The Guthrie Clinic Sayre, PA

Sayre, PA

26d ago

Full time Analyst Analytics Business Analytics

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