Data Platform and Analytics Intern Job at Aptiv plc (Cupertino)

Data Analytics (Health, Safety and Environment) Intern

Bureau Veritas is expanding its digital capabilities to streamline environmental...

Location

Singapore

Salary:

Not provided

Bureau Veritas Certification CZ, s.r.o.

Expiration Date

Until further notice

Requirements

Able to commit at least 3 months full time internship
Currently enrolled in a Bachelor’s or Master’s program in Computer Science, AI, Data Science, Software Engineering, or a related field
Strong knowledge and expertise in AI, particularly generative AI
Proficient in programming e.g. Python
Proficient in using Tableau/Power BI to build dashboards and generate actionable insights from datasets
Capable of working independently as well as in teams
Excellent communications skills in presenting and writing
Proficient in written and spoken English
Background in software engineering is preferred

Job Responsibility

Design, develop and deploy automation workflows for environmental reporting (e.g., emissions, waste, water use) and H&S data collection, using Python, R, or low-code AI platforms
Create data analytics pipelines (ETL, data validation, KPI dashboards) that ingest, clean, and visualise HSE metrics (incident logs, exposure data, audit results) using Tableau/Power BI
Document solutions (architecture diagrams, code repositories, user guides) and deliver presentations to stakeholders for decision-making
Stay current on emerging AI, robotic process automation (RPA), and data analytics trends and propose pilot projects that add value to the reporting ecosystem

What we offer

Join an inclusive, flexible and diverse company where you can thrive while contributing to positively transforming the world we live in

Fulltime

New

SAP Data and Analytics Product Management Specialist

Location

South Africa , Johannesburg

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in Information Technology/Systems, Computer Science, Business, or a related field
Proven experience as a Product Owner or in a similar role (e.g technical presales, solution architect, delivery consultant), with a focus on SAP Analytics Cloud (including Planning) and Datasphere and/or SAP BW/4HANA
Strong understanding of data and analytics architectures, SAP's data strategy, and integration with non-SAP data sources
Strong analytical and problem-solving skills, with the ability to translate business requirements into actionable tasks
Excellent communication and stakeholder management skills for engaging both technical and business stakeholders
Experience working with Agile methodologies and tools
Certification in SAP Analytics Cloud or related field is a plus

Job Responsibility

Develop and communicate the strategic vision and goals for the SAP Analytics Cloud and Datasphere platforms (Business Data Cloud)
Create and maintain a comprehensive product roadmap aligned with business objectives
Identify new market opportunities and customer needs in analytics, data, and planning to drive innovation and differentiation
Provide product knowledge input assistance for compiling client proposals
Own and be accountable for the SAP Data and Analytics workstream in client proposals
Write RFI/RFP responses and bids and obtain vendor product certification for the product portfolio
Analyse customer data and transformation scenarios to produce recommendations and reports
Recommend product enhancements and updates to identify new business opportunities
Develop accelerators or templates to enable repeatable delivery of SAP Analytics
Act as the subject matter expert (SME) for SAP Analytics, supporting sales cycles, solution demos, and executive briefings

Fulltime

Staff Product Manager, Real Time Data Analytics Platform

We're not just building better tech. We're rewriting how data moves and what the...

Location

United States

Salary:

231500.00 - 272000.00 USD / Year

Confluent

Expiration Date

Until further notice

Requirements

8+ years of experience in product management or related technical roles
5+ years of experience taking technical infrastructure or data products from conception to launch
Deep familiarity with real-time analytics, database internals, or streaming data platform architecture
Experience defining and launching products in the data infrastructure, analytics database, or stream processing space
Strong technical judgment
Track record of leading cross-functional initiatives
Bachelor's degree or equivalent practical experience

Job Responsibility

Own the product strategy for Confluent's streaming analytics engine
Develop competitive strategy against established real-time analytical databases
Drive key architectural and product tradeoffs
Partner deeply with engineering
Collaborate with peer product managers
Work with customers and design partners
Collaborate with Confluent's broader product and platform teams
Define success metrics, cost models, and pricing strategy
Influence Confluent's company-wide platform strategy

What we offer

Remote-First Work
Robust Insurance Benefits
Flexible Time Away
The Best Teammates
Experience Ambassadors
Open and Honest Culture
Well-Being and Growth
Equity

Fulltime

Data Analytics and Business Process Improvement Manager

Based in Singapore, the Data Analytics and Business Process Improvement Manager ...

Location

Singapore , Singapore

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Analytical & Process Improvement Expertise: Proven experience in data analytics and business process improvement, including mapping complex workflows, analyzing data to pinpoint inefficiencies, and identifying high-impact opportunities for efficiency gains and automation
Automation & AI Proficiency: Hands-on proficiency with modern technologies (advanced analytics tools, AI/ML solutions, and process automation platforms) to design and implement improvements and develop insightful data visualizations/dashboard reports for decision support
Collaborative Influence: Excellent collaboration and stakeholder management skills with a track record of working effectively across global product teams, technology groups, and support functions (e.g. Legal, Compliance) to drive initiatives and build consensus without direct managerial authority
Communication & Problem-Solving: Strong ability to engage with end-users (e.g. through process shadowing) to understand business needs, translate complex data findings into clear, actionable recommendations, and communicate process improvement plans to both technical and non-technical audiences
Governance & Risk Mindset: Demonstrated commitment to governance, risk management, and compliance – ensuring all proposed solutions and process changes strictly follow internal policies, control standards, and external regulatory requirements

Job Responsibility

Drive data-driven process optimization and automation across the organization
Analyze current data infrastructure and user workflows, shadow users to understand pain points, and implement modern solutions—ranging from advanced data analytics and AI tools to agentic (autonomous) automation—to streamline key processes and enhance management decision-making
Collaborate with global product owners and cross-functional teams (Technology, Legal, Compliance, etc.)
Identify, collect, extract data from various sources
Perform data cleaning, wrangling, and transformation
Develop and maintain efficient data pipelines
Design and conduct statistical and machine learning models
Develop and implement predictive models
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science

Fulltime

Senior Manager, Advanced Data and Analytics

The Senior Manager, Advanced Data and Analytics plays a critical leadership role...

Location

United States , Woodland Hills

Salary:

120000.00 - 130000.00 USD / Year

Bloom Ads Global Media Group

Expiration Date

Until further notice

Requirements

5+ years of experience in data and analytics within an agency or media consulting environment
2+ years of team leadership experience, including managing managers or senior-level contributors
Bachelor’s degree required
advanced degree in Statistics, Economics, Predictive Analytics, or related field preferred
Advanced expertise in Python, R, and SQL database management
Strong experience with DTC and data-heavy clients
Proven ability to develop and oversee statistical modeling frameworks including marketing mix models, multi-touch attribution, and incrementality testing
Experience working with ad tech platforms including ad servers (DCM), DSPs (TTD, DV360), and SEM platforms
Strong business intelligence expertise (SQL, Tableau, Datorama)
Exceptional storytelling and presentation skills, with the ability to translate technical findings into strategic recommendations

Job Responsibility

Mentor and develop Supervisors and analysts, fostering accountability, collaboration, and professional growth
Oversee the development, training, and implementation of statistical models to optimize media performance and drive client business results
Lead quality control of modeling outputs, automation processes, and data integrity standards
Oversee dashboard development in visualization tools such as Tableau and Datorama
Translate complex analyses into clear, concise, and compelling narratives for clients and internal teams
Partner closely with clients, account teams, and media teams to assess business challenges and deliver data-driven solutions
Lead execution and oversight of marketing mix modeling, diminishing returns analysis, incrementality testing, and campaign measurement strategy
Manage team workload allocation, prioritization, and cross-functional collaboration
Identify opportunities for innovation and advancement within analytics frameworks and reporting capabilities
Act as a senior escalation point for analytics strategy and modeling decisions

What we offer

Comprehensive medical benefits: health, dental, vision, life, and AD&D coverage
Generous vacation policy
Holiday PTO + Work-from-Home Fridays
Company contributions to 401(k) retirement savings
Paid volunteer hours to support causes you care about
Professional development opportunities
Free snacks (mostly healthy!)
Coffee Thursdays to fuel creativity
Monthly lunch & learns to expand your expertise
Quarterly town halls with food, prizes, and company updates

Fulltime

Principal Data And Analytics Engineer

The Principal Data and Analytics Engineer holds comprehensive responsibility for...

Location

United States

Salary:

108086.00 - 180144.00 USD / Year

O'Reilly Auto Parts

Expiration Date

Until further notice

Requirements

Proven experience architecting enterprise-scale data platforms and ecosystems, including hybrid and cloud-native environments (e.g., GCP BigQuery, Snowflake, Iceberg, Advanced SQL, Erwin, dbt, Kafka, Alation, Collibra)
Deep expertise in designing and scaling highly available, secure, and fault-tolerant batch and streaming pipelines with strong emphasis on cost optimization, observability, and latency control
Advanced proficiency in semantic modeling, reusable data asset design, and cross-functional data product delivery aligned to medallion architecture
Leadership in implementing CI/CD-enabled pipelines, RBAC frameworks, schema evolution strategies, and interoperable data exchange using Iceberg or equivalent table formats
Ownership of organization-wide metrics store and semantic layers, ensuring consistency, governance, and performance across reporting, AI, and ML use cases
Advanced expertise in programming languages such as Python, Scala, with the ability to architect complex data solutions
Demonstrated leadership in designing and overseeing the implementation of scalable, idempotent workflows using orchestration frameworks such as Airflow and Prefect
Demonstrated ability to translate business transformation goals into scalable data solutions and reusable patterns
Deep understanding of business processes, KPIs, and capability maps across functions such as supply chain, customer, store ops, and finance
Proven experience in driving cross-functional data product prioritization, influencing senior stakeholders, and quantifying impact of data initiatives

Job Responsibility

Help define and evolve enterprise data engineering blueprints, including data mesh, medallion architecture, and hybrid cloud data platforms
Set strategic direction for data platforms, tools, and services (e.g., Snowflake, GCP BigQuery, dbt, Kafka, Airflow/Prefect) in alignment with future-state architecture and business priorities
Architect and design highly scalable, resilient, cost optimal and secure data platforms
Lead the design and implementation of next-generation data platforms, ensuring fault tolerance, high availability, and optimal performance for petabyte-scale data
Establish and enforce organization-wide best practices for data pipeline development, CI/CD for data workflows, automated deployment playbooks, and robust rollback strategies
Lead technology evaluation and adoption, proactively researching, evaluating, and championing the integration of cutting-edge data technologies, frameworks, and methodologies
Define and scale enterprise knowledge management frameworks that ensure consistent documentation, discoverability, and reusability of data assets across domains
Establish and govern standards for metadata management, data lineage, architectural diagrams, and runbooks
Lead the design of federated governance models that empower domain-aligned teams to operate autonomously while conforming to centralized policies, frameworks and playbooks
Collaborate with data governance, compliance, and security teams to operationalize policy-as-code frameworks for data retention, access control, and PII handling

What we offer

Competitive Wages & Paid Time Off
Stock Purchase Plan & 401k with Employer Contributions Starting Day One
Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
Team Member Health/Wellbeing Programs
Tuition Educational Assistance Programs
Opportunities for Career Growth

Fulltime

Engineering Manager - Data Platform & Analytics

Fluent is building the next-generation advertising network, Partner Monetize & A...

Location

United States

Salary:

160000.00 - 225000.00 USD / Year

Fluent, Inc

Expiration Date

Until further notice

Requirements

6+ years of experience in Data Engineering or Analytics, with at least 2 years managing or leading teams
Deep Databricks expertise: Workflows, Delta Lake, Unity Catalog, and platform administration
Strong Spark experience: PySpark, Spark SQL, and understanding of distributed processing internals
Business intelligence expertise: dashboard development, KPI frameworks, and analytics tooling (Tableau, Looker, Power BI, or similar)
Experience with streaming architectures: Kafka, event-driven processing, and real-time pipelines
Proven people management skills: hiring, mentoring, performance management, and team development
AWS experience: S3, IAM, and cloud infrastructure fundamentals
Strong communication skills for partnering with technical and business stakeholders

Job Responsibility

Own Databricks platform strategy: architecture decisions, Unity Catalog migration, cost optimization, and operational excellence
Drive data pipeline development: real-time and batch pipelines using PySpark, Spark Structured Streaming, and Delta Lake
Establish data quality standards: validation frameworks, monitoring, alerting, and SLA management
Partner with Data Architects to translate Enterprise Data Models into performant physical implementations
Integrate streaming infrastructure: Kafka-based event-driven ingestion and processing
Build reporting capabilities: dashboards, KPIs, and self-service analytics for internal and client-facing use
Drive data storytelling: executive presentations, client reporting, and strategic business insights
Develop metrics frameworks: campaign performance, audience quality, and platform health KPIs
Support ad-hoc analysis for campaign optimization and business questions
Lead and grow DE and Analytics teams: hiring, mentoring, performance management, and career development

What we offer

Competitive compensation
Ample career and professional growth opportunities
New Headquarters with an open floor plan to drive collaboration
Health, dental, and vision insurance
Pre-tax savings plans and transit/parking programs
401K with competitive employer match
Volunteer and philanthropic activities throughout the year
Educational and social events

Fulltime

Engineering Manager - Data Platform & Analytics

Fluent is building the next-generation advertising network, Partner Monetize & A...

Location

Canada , Toronto

Salary:

160000.00 - 225000.00 CAD / Year

Fluent, Inc

Expiration Date

Until further notice

Requirements

6+ years of experience in Data Engineering or Analytics, with at least 2 years managing or leading teams
Deep Databricks expertise: Workflows, Delta Lake, Unity Catalog, and platform administration
Strong Spark experience: PySpark, Spark SQL, and understanding of distributed processing internals
Business intelligence expertise: dashboard development, KPI frameworks, and analytics tooling (Tableau, Looker, Power BI, or similar)
Experience with streaming architectures: Kafka, event-driven processing, and real-time pipelines
Proven people management skills: hiring, mentoring, performance management, and team development
AWS experience: S3, IAM, and cloud infrastructure fundamentals
Strong communication skills for partnering with technical and business stakeholders

Job Responsibility

Own Databricks platform strategy: architecture decisions, Unity Catalog migration, cost optimization, and operational excellence
Drive data pipeline development: real-time and batch pipelines using PySpark, Spark Structured Streaming, and Delta Lake
Establish data quality standards: validation frameworks, monitoring, alerting, and SLA management
Partner with Data Architects to translate Enterprise Data Models into performant physical implementations
Integrate streaming infrastructure: Kafka-based event-driven ingestion and processing
Build reporting capabilities: dashboards, KPIs, and self-service analytics for internal and client-facing use
Drive data storytelling: executive presentations, client reporting, and strategic business insights
Develop metrics frameworks: campaign performance, audience quality, and platform health KPIs
Support ad-hoc analysis for campaign optimization and business questions
Lead and grow DE and Analytics teams: hiring, mentoring, performance management, and career development

What we offer

Competitive compensation
Ample career and professional growth opportunities
New Headquarters with an open floor plan to drive collaboration
Health, dental, and vision insurance
Pre-tax savings plans and transit/parking programs
401K with competitive employer match
Volunteer and philanthropic activities throughout the year
Educational and social events
The amazing opportunity to work for a high-flying performance marketing company

Fulltime

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Data Platform and Analytics Intern

Job Description

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