Stakeholder Intelligence & Data Automation Intern Job at Veolia (Hackensack)

Data Analyst Intern

IKEA's data center serves as the enterprise-level data hub, responsible for the ...

Location

China , Shanghai

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Background related to product management or data analysis
Hard skills: Data analysis abilities (SQL/Python data modeling, Tableau visualization), product thinking (requirement analysis, prototype design)
Soft skills: Logical framework thinking (closed-loop deduction from data insights to product solutions), cross-departmental collaboration abilities (defining metric standards with IT and business stakeholders)

Job Responsibility

Promoting the upgrade of data products from 'analyst-specific tools' to a 'self-service analysis platform for all' based on AI+BI integration technologies (such as natural language queries, intelligent alerts, and automated modeling)

Data Sciences Assistant Manager

The role involves designing and managing BI solutions, integrating data from var...

Location

India , Noida

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s degree in Computer Science, Data Science, Business Analytics, or a related technical field
6+ years of experience in Business Intelligence, Data Engineering, or Cloud Data Analytics
Proficiency in SQL, Python, or data wrangling languages
Deep knowledge of BI tools like Power BI, Tableau, or QlikView
Strong data modeling, ETL, and data governance capabilities

Job Responsibility

Design, build, and manage end-to-end Business Intelligence solutions, integrating structured and unstructured data from internal and external sources
Architect and maintain scalable data pipelines using cloud-native services (e.g., AWS, Azure, GCP)
Implement ETL/ELT processes to ensure data quality, transformation, and availability for analytics and reporting
Support the Market Intelligence team by building dashboards, visualizations, and data models that reflect competitive, market, and customer insights
Work with research analysts to convert qualitative insights into measurable datasets
Drive the automation of insight delivery, enabling real-time or near real-time updates
Design interactive dashboards and executive-level visual reports using tools such as Power BI, or Tableau
Maintain data storytelling standards to deliver clear, compelling narratives aligned with strategic objectives
Act as a key liaison between business users, strategy teams, research analysts, and IT/cloud engineering
Translate analytical and research needs into scalable, sustainable BI solutions

What we offer

Commitment to fighting against all forms of discrimination
Inclusive and respectful work environment
Positions open to people with disabilities

Fulltime

Data Warehousing Specialist

Priambasoft LLC seeks a Data Warehousing Specialist who will take up the role “T...

Location

United States , Iselin

Salary:

Not provided

Priamba

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science or a related discipline, or equivalent work experience required
7-12 years of experience in data modeling, data warehousing, data entity analysis, logical and relational database design, Business Intelligence tools or an equivalent combination of education and work experience required

Job Responsibility

Build infrastructure required for optimal extraction, transformation, and loading from various data sources in the reporting application
Build analytics layer that utilize the data pipeline to provide valuable insights into company and project performance
Work with internal stakeholders to assist with data-related technical and infrastructure support, takes hold on the subject datamarts to build the data warehouse for an organization
Designs and creates more complex logical/physical data models, and data dictionaries that cater to the specific business and functional requirements of applications
Provides support for data architecture efforts as needed
Develops logical data designs of increasing complexity to deliver stable and flexible high-performance data ingestion / extraction
Develop advanced SQL queries to process the source data
Performs data extracts and creates complex data reports to analyze Business metrics
Provides knowledge of enterprise data to assist the business in the creation and definition of internal and external metrics
Provides knowledge in existing database environments and makes recommendations for opportunities to reduce data redundancy

Data Architect

We are seeking a highly skilled Data Architect to join our Enterprise Transforma...

Location

Bulgaria , Sofia

Salary:

Not provided

HotSchedules Corporate

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
5+ years in data architecture, database administration, or data engineering, with a focus on enterprise and business systems
Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)
Experience with cloud platforms (e.g., AWS, Azure, GCP – BigQuery, Redshift, Snowflake)
Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, dbt, Informatica, Talend, Azure Data Factory, Synapse)
Strong knowledge of API’s and Automation Tools (e.g. Make, Zapier, MS Power Automate)
Familiarity with ERP, CRM, and HRIS integrations
Programming skills in Python, Java, or Scala
Deep understanding of data governance, master data management, and security/compliance (especially GDPR)
Excellent analytical, problem-solving, and communication skills

Job Responsibility

Design, develop, and maintain the organization’s overall data architecture to support enterprise‑wide business applications, internal reporting, and analytics
Create and manage conceptual, logical, and physical data models for organizational data domains (HR, Finance, Sales, Operations, etc.)
Define and implement data governance policies, standards, and best practices across the enterprise
Oversee ETL/ELT processes and pipelines for integrating data from diverse business systems (ERP, CRM, HRIS, etc.)
Collaborate with internal stakeholders (business teams, IT, data engineers) to align data initiatives with organizational objectives
Optimize performance, cost, and scalability of data warehouses and internal reporting systems
Evaluate and recommend tools and platforms to enhance internal data and business application efficiency
Ensure compliance with GDPR and other relevant data security/privacy regulations
Responsible for the successful design and execution of Data related programs and projects

What we offer

25+ days off, as well as birthday day off and 4 charity days off per year
Flexible start and end of the working day and hybrid working mode, including a combination remote and in the office
Team-centric atmosphere
Encouraging healthy lifestyle and work-life balance including supplemental health insurance
New parents bonus scheme

Fulltime

Lead Analytics Engineer

As a Lead Analytics Engineer, you'll join a large impactful team of data & analy...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

12+ years of experience in analytics engineering, business intelligence, or data engineering, with a strong focus on data modeling and transformation
Solid hands-on experience using SQL and Python, with a track record of building & maintaining production-level data models
Strong experience with a modern cloud data warehouse like Databricks, Google BigQuery, Snowflake, or Amazon Redshift
Lead architectural and technical decisions for secure, performant, and scalable data products
Deep expertise with a modern data transformation tool like dbt (data build tool)
Proven experience in data warehouse design and development, using dimensional modeling and other techniques for business intelligence
Experienced in AWS Cloud usage and data management (automation, data governance, cost optimisation, delivering reliable & scalable data solutions)
Ensure data quality, schema governance and monitoring across pipelines
Experience with orchestrators such as Airflow, Kubeflow & Databricks workflows
Drive the creation of reusable data products across multiple parts of the organisation

Job Responsibility

Lead our analytics engineering function, acting as the bridge between our core data pipelines and the business intelligence needs of our stakeholders
Building and scaling our data models
Mentoring the team, setting best practices, and driving the technical roadmap
Delivering high-quality, well-documented solutions that directly serve our internal customers
Elevate engineering practices, and drive technical excellence across domains

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Lead Analytics Engineer

As a Lead Analytics Engineer, you'll join a large impactful team of data & analy...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

12+ years of experience in analytics engineering, business intelligence, or data engineering, with a strong focus on data modeling and transformation
Solid hands-on experience using SQL and Python, with a track record of building & maintaining production-level data models
Strong experience with a modern cloud data warehouse like Databricks, Google BigQuery, Snowflake, or Amazon Redshift
Lead architectural and technical decisions for secure, performant, and scalable data products
Deep expertise with a modern data transformation tool like dbt (data build tool)
Proven experience in data warehouse design and development, using dimensional modeling and other techniques for business intelligence
Experienced in AWS Cloud usage and data management (automation, data governance, cost optimisation, delivering reliable & scalable data solutions)
Ensure data quality, schema governance and monitoring across pipelines
Experience with orchestrators such as Airflow, Kubeflow & Databricks workflows
Drive the creation of reusable data products across multiple parts of the organisation

Job Responsibility

Lead our analytics engineering function, acting as the bridge between our core data pipelines and the business intelligence needs of our stakeholders
Building and scaling our data models
Mentoring the team, setting best practices, and driving the technical roadmap
Delivering high-quality, well-documented solutions that directly serve our internal customers
Lead by example, elevate engineering practices, and drive technical excellence across domains

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Director of Data Engineering and Agentic AI Automation

We are looking for a Director of Data Engineering and Agentic AI Automation to l...

Location

United States , San Francisco

Salary:

347000.00 - 490000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets
Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks
Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS)
Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain
Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C
Strong track record of partnering with senior business stakeholders and translating complex requirements into scalable technical solutions

Job Responsibility

Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation
Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems
Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes
Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday
Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance
Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency
Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams
Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains
Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes
Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Lead Data Engineer

Location

India , Bengaluru

Salary:

Not provided

Cigres

Expiration Date

Until further notice

Requirements

You should have a bachelors or master’s degree in computer science, Information Technology or other quantitative fields
You should have at least 8 years working as a data engineer in supporting large data transformation initiatives related to machine learning, with experience in building and optimizing pipelines and data sets
Strong analytic skills related to working with unstructured datasets.
Experience with Azure cloud services, ADF, ADLS, HDInsight, Data Bricks, App Insights etc
Experience in handling ETL’s using Spark.
Experience with object-oriented/object function scripting languages: Python, Pyspark, etc.
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
You should be a good team player and committed for the success of team and overall project.

Job Responsibility

Create and maintain optimal data pipeline architecture
assemble large, complex data sets that meet functional / non-functional requirements.
Design the right schema to support the functional requirement and consumption patter.
Design and build production data pipelines from ingestion to consumption.
Create necessary preprocessing and postprocessing for various forms of data for training/ retraining and inference ingestions as required.
Create data visualization and business intelligence tools for stakeholders and data scientists for necessary business/ solution insights.
Identify, design, and implement internal process improvements: automating manual data processes, optimizing data delivery, etc.
Ensure our data is separated and secure across national boundaries through multiple data centers.

Fulltime

Stakeholder Intelligence & Data Automation Intern

Veolia

Location:
United States , Hackensack

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 04, 2026

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