Data Analyst with Dataiku Job at We Are Meta (Porto)

Marketing Data Analyst

Dataiku is The Universal AI Platform™, giving organizations control over their A...

Location

United States , New York

Salary:

135000.00 - 175000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

4+ years of professional experience in analytics or a data/strategy-oriented role
Experience in consulting or a similar business-facing analytical role showing an ability to translate business needs into analytical approaches and vice versa
Demonstrated experience using data to analyze pipeline performance and marketing campaigns/ROI to drive strategic decisions
Strong proficiency in Excel/Google sheets, advanced proficiency in SQL and moderate proficiency in Python for analytics purposes
Demostrable proficiency building high quality visualizations in tools like Tableau (our primary BI Tool)
Familiarity with operations systems such as HubSpot and Salesforce
Ability to communicate clearly on technical and business concepts through storytelling and presentations

Job Responsibility

Partner closely with marketing stakeholders to identify key business questions and conduct robust ad-hoc analyses to drive decision making for the field and digital marketing teams
Develop strategic projects to grow the analytics ecosystem including pipeline forecasting, campaign analytics, and marketing/channel mix analysis
Own and manage key datasets and dashboards that are leveraged daily by the Marketing team, and design and build new dashboards using best in class visualizations techniques to convey insights to marketers in the easiest and most effective way possible
Build innovative solutions to open questions using advanced analytics and AI to enable the Marketing team on Predictive and Prescriptive Analytics
Collaborate with Business Operations and the Enterprise Data & Analytics teams on GTM metrics and datasets, and contribute positively to the large internal analytics community at Dataiku

What we offer

stock options
medical, dental, and vision plans
flexible spending accounts
pre-tax commuter benefits
a 401k company match
paid vacations and sick leave
paid parental leave
employer paid disability coverage
additional health and wellbeing perks and benefits

Fulltime

Finance data analyst

Location

India , Pune

Salary:

Not provided

Randstad

Expiration Date

May 17, 2026

Requirements

Hands-on experience with Dataiku, SQL, Excel
Strong skills in data preparation and analysis
Attention to detail and data quality
Good communication and documentation skills
Bachelor’s degree in a relevant field

Job Responsibility

Build and maintain data workflows in Dataiku
Perform data wrangling, cleansing, and analysis
Extract and manipulate data using SQL and Python
Collaborate with tax and finance teams to deliver insights

Data Architect

We are seeking a visionary Data Architect for a permanent leadership role based ...

Location

Canada , Etobicoke

Salary:

98460.00 - 135383.00 CAD / Year

Randstad

Expiration Date

June 06, 2026

Requirements

Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related quantitative field
Minimum 5 years of experience specifically designing data architecture, with 10+ years of total experience in enterprise data architecture, modelling, or engineering
Proficiency with tools such as Python, Microsoft Azure, Fivetran, DBT, Knime, and Dataiku
Possessing or working toward a Certified Data Management Professional (CDMP) designation is highly preferred
Strong ability to architect scalable data systems that meet both business and high-level technical requirements
Excellent ability to translate complex technical data concepts for non-technical audiences and senior leadership
Ability to work independently and make high-impact decisions regarding enterprise data strategy

Job Responsibility

Design and maintain conceptual, logical, and physical data models that align with business requirements and support long-term scalability
Develop and refine data storage solutions in collaboration with infrastructure teams to maximize performance while minimizing operational costs
Partner with both technical and business units to document data requirements, ensuring the architecture supports both operational and strategic organizational goals
Support and contribute to enterprise frameworks for data security, classification, privacy, and compliance
Evaluate emerging technologies and recommend continuous improvements to data systems to keep the organization at the forefront of the industry
Provide leadership and set standards for Data Engineers, BI Analysts, and AI Data Scientists to ensure consistency across all data practices
Document complex data pipelines, maintain data catalogues, and establish clear data lineage for analytics and reporting

What we offer

Stability: Enjoy the security of a permanent role with a competitive salary and comprehensive benefits

Fulltime

Senior Data Engineer

Senior Data Engineer – AWS/Databricks/Python

Location

Poland , Warszawa

Salary:

150.00 - 170.00 PLN / Month

1dea

Expiration Date

Until further notice

Requirements

min 5 yrs of relevant experience
Solid experience with AWS services (S3, IAM, Redshift, Sagemaker, Glue, Lambda, Step Functions, CloudWatch)
Experience with platforms like Databricks, Dataiku
Proficient in Python / Java, SQL – Redshift preferred, Jenkins, CloudFormation, Terraform, Git, Docker, 2-3 years of Spark – PySpark
Good communication and SDLC documentation skills.

Job Responsibility

Design, develop and maintain data pipelines to extract data from a variety of sources and populate data lake and data warehouse
Develop the various data transformation rules and data modelling capabilities
Collaborate with Product Analyst, Data Scientists, and Machine Learning Engineers to identify and transform data to make data understandable
Experience in implementing data quality checks, maintain data catalogues, use orchestration, logging, and monitoring tools, data analysis, information architecture concept and implementation, Git for version control and understand various branching strategies
Use test driven development methodology when building ELT/ETL pipelines

Data Architect

Are you driven by a passion for designing transformative data architectures and ...

Location

Luxembourg , Luxembourg

Salary:

Not provided

Quintet Private Bank

Expiration Date

Until further notice

Requirements

Further professional Education (Masters / Professional qualification)
More than 5 years experience in a similar role
10+ years of experience in data architecture, enterprise data management, or a related role, with significant exposure to financial services or regulated industries
Proven experience leading large-scale data transformations in complex, multi-business environments
Deep expertise in data architecture design, encompassing operational, analytical, and streaming use cases, with hands-on experience in leading platforms such as Snowflake, AWS, Microsoft Azure, Databricks, and Dataiku
Mastery of data technologies such as SQL, NoSQL, ETL tools, Apache Spark, Kafka, and modern API frameworks
Experience implementing AI/ML pipelines or integrating advanced analytics tools into operational workflows
Strong understanding of data security, privacy, and compliance standards
Fluent in English

Job Responsibility

Contribute to the development of the Data & Analytics strategy that aligns with business goals, emphasizing the creation of value through data-driven insights
Design and maintain Quintet’s data architecture framework
Design scalable, agile, interoperable and secure data platforms and pipelines, integrating structured, unstructured, and real-time data sources
Develop and enforce best practices for data modeling, metadata management, semantic layer design, and data integration across the bank
Design and optimize data flows between critical systems, core banking platforms, such as CRM, analytics systems, and regulatory reporting tools
Ensure that solutions are cloud-native and future-ready
Implementation of a MDM (Master Data Management) solution, ensuring data consistency, integrity, and governance across the bank
Act as the bridge between business and technology, ensuring alignment between business needs and technical delivery
Partner with cross-functional teams of data engineers, analysts, and technologists to implement architecture designs
Engage with stakeholders from Finance, Risk, Compliance, Operations, HR, Front Office and IT to ensure regulatory alignment and robust security

Operations Analytics Analyst

Being part of Air Canada is to become part of an iconic Canadian symbol, recentl...

Location

Canada , Dorval

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

University degree in Mathematics, Computer Science, Statistics, Business Analytics, Data Science, Engineering or a combination of education, training and experience deemed equivalent
Minimum 3 years of experience in the field of data analytics or data science turning data into insights and providing insights across an enterprise
Excellent analytical, mathematical and problem-solving skills
Experience in using data warehousing solutions (e.g. Snowflake) and in writing relational database queries and scripts
Experience with analytical and data visualization toolsets like Power BI, Tableau, Looker, Dataiku, etc.
Specialized knowledge of scripting programming languages including but not limited to Python, R and SQL
Proven ability to initiate change when opportunities to improve are identified i.e. the successful candidate must be innovative to find opportunities and confident/comfortable to make opinions known and support their recommendation
Ability to understand, develop, and relate statistical analysis to business implications
Exceptional written and verbal communication, and interpersonal skills
Ability to prioritize and manage multiple concurrent assignments effectively

Job Responsibility

Work closely with Operational Business Units and IT teams to collect data requirements that support the development of analytical components of projects and to identify opportunities for process improvements
Apply statistical, advanced analytics and data science knowledge tools and techniques to interpret operational data sets, with a keen focus on identifying valuable trends and patterns for diagnostic and predictive analytics efforts
Translate business data requirements into pure data requirements, that adhere to data governance policies
Leverage advanced analytical skills to assess feasibility and the optimal technology solutions for analytics initiatives
Integrate data from multiple sources to enable comprehensive analysis and strategic insights
Develop, implement, and maintain analytical and statistical models
Present complex insights in a compelling manner through metrics and visualizations, turning statistical and analytical models into actionable business narratives that drive decision-making
Collaborate with various stakeholders across the operational spectrum at Air Canada to define relevant metrics and KPIs and implement new solutions and processes

Fulltime

Automation & Process Efficiency Analyst

We are seeking an Automation & Process Efficiency Analyst to support a strategic...

Location

Portugal , Lisbon

Salary:

Not provided

Extia

Expiration Date

Until further notice

Requirements

Business & Process Analysis: Ability to break down and understand complex financial workflows
Analytical Thinking: Skill in identifying automation opportunities and logical gaps
Communication: Clear and effective interaction with finance users and IT teams
Collaboration: Team player who works well across functions and cultures
Project Management: Capable of managing small-scale projects and timelines independently
Training & Coaching: Willingness and ability to upskill end-users and build self-sufficiency
Adaptability: Comfortable working in a changing environment with evolving priorities
Advanced Excel (macros, pivot tables, Power Query, data models)
Proficiency in at least one data preparation platform (e.g., Alteryx, Knime, Dataiku)
Programming/scripting experience in Python (C is a plus)

Job Responsibility

Collaborate directly with accounting control teams to understand current manual processes and pain points
Identify automation opportunities within Level 1 accounting controls and P&L reconciliation workflows
Design, develop, and deliver automated desktop tools and prototypes (Excel, Power BI, Python, etc.)
Document business rules and ensure clear handover to Finance IT for industrialization
Test and validate automated tools with users during live accounting closure cycles
Provide training and coaching to finance users on advanced Excel, Power BI, and automation best practices
Ensure knowledge transfer and process sustainability within the Finance team

Receptionist

We are looking for a detail-oriented Receptionist to join our team in Miami, Flo...

Location

United States , Miami

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proficiency in using a multi-line phone system for managing calls
Strong customer service skills with the ability to handle inquiries professionally
Experience in data entry with attention to detail and accuracy
Ability to communicate effectively through email correspondence
Excellent interpersonal skills to interact with staff and visitors
Competence in Microsoft Excel, Outlook, and Word for administrative tasks
Organizational skills to manage files and maintain office order
Capability to schedule appointments and coordinate meetings efficiently

Job Responsibility

Oversee access to the office, ensuring security and proper protocols are followed
Manage the stocking and organization of supplies in the kitchens to maintain efficiency
Maintain the cleanliness and orderliness of the office environment to ensure a neat appearance
Handle incoming phone calls using a multi-line phone system, providing courteous and efficient service
Assist with scheduling appointments and coordinating meetings as needed
Perform accurate data entry tasks to support administrative functions
Organize and maintain files, ensuring easy accessibility and proper documentation
Communicate effectively via email to address inquiries and provide information
Execute various ad hoc projects and tasks as assigned to support office operations

What we offer

medical, vision, dental, and life and disability insurance
eligible to enroll in our company 401(k) plan

Data Analyst with Dataiku

We Are Meta

Location:
Portugal , Porto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 13, 2026

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