Data Engineering & Analytics Associate Job at Metyis (Barcelona)

Associate Data Scientist (Data Engineering)

The Associate – Data Engineering role is an entry‑level engineering position wit...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s (3 to 6 Yrs) or Master’s (2 to 4 Yrs) degree in Computer Science, Engineering, Information Systems, Data Science, or a related quantitative/technical field
Experience in data engineering, software engineering, analytics engineering, or data/tech role
Familiarity with data concepts (tables, schemas, joins, basic transformations)
Proficiency in SQL and data analysis and structured data
Strong problem‑solving and analytical reasoning skills
Effective written and verbal communication skills
Strong learning mindset and willingness to work with new tools, datasets, and business contexts

Job Responsibility

Support building and maintaining data ingestion and transformation workflows (ETL/ELT) for marketing and media datasets
Assist with implementing data validations and QA checks (schema checks, null checks, duplication checks, count reconciliation) to ensure datasets are reliable and analytics‑ready
Help monitor pipeline runs and refresh schedules, investigate failures using logs, and escalate issues with clear context and evidence
Support development of reusable, governed datasets / data products that are consistent and easy for BI and analytics teams to consume
Contribute to documentation (data flow notes, runbooks, assumptions, source mapping) to improve operational stability and handoffs
Collaborate with cross‑functional partners (MSO BI, MSO Ops, Analytics teams, Vendors) to ensure inputs and outputs are aligned and dependable
Participate in continuous learning and improvement to strengthen engineering fundamentals, reliability practices, and delivery discipline
Analyze and understand the functional & non-functional requirements for Investment and Media Analytics function, and translate them into prototype, technical specifications

Senior Associate, Data Analytics Supply Chain

In this vital role you will be part of the External Planning and Delivery Team, ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree and 4 years’ experience in Data Analytics, Industrial Engineering, or related business fields
Bachelor’s degree and 5 years’ experience in Data Analytics, Industrial Engineering, or related business fields
Associate’s degree and 7-9 years’ experience in Data Analytics, Industrial Engineering, or related business fields
at least 5 years’ experience working in teams, projects, and programs

Job Responsibility

Develop, calculate, and maintain key activity drivers to support supply planning teams
Analyze supply plans, demand/supply balances, and planning assumptions to identify risks, trends, and opportunities
Support scenario analysis and sensitivity analysis related to supply changes
Identify root causes of supply plan variances and performance gaps
Define, calculate, and track key performance indicators (KPIs) for the AXP organization
Design, build, and maintain dashboards and recurring reports to support operational and leadership reviews
Ensure data accuracy, consistency, and clarity across all reporting outputs
Continuously improve reporting tools and metrics based on business needs
Partner with Finance to translate supply plan variances into financial impact (e.g., cost, inventory, scrap, and revenue)
Support reconciliation of operational and financial views of supply performance

Fulltime

Senior Associate Data Analytics

The Senior Associate Medical Data Analytics will play a pivotal role in supporti...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Engineering, Mathematics, Healthcare or a related field and 1+ year(s) of Medical Data Analytics, Commercial Data Analytics, Primary Market Research, Performance Reporting or related experience
Master’s degree in Computer Science, Engineering, Mathematics, Healthcare or a related field and 3+ years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting or related experience
Bachelor’s degree in Computer Science, Engineering, Mathematics, Healthcare or a related field and 5+ years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting or related experience

Job Responsibility

Translate complex analytical findings into clear, data-driven recommendations that enhance MSL engagement strategies and contribute to improved patient outcomes
Conduct data analysis across structured and unstructured datasets including but not limited to HCP sentiment, scientific engagement data, and publications
Design, develop, and maintain dashboards, reports, and visualizations to track performance, measure outcomes, and identify actionable trends using Python, R, SQL, Tableau, Power BI, or similar platforms
Understand pharmaceutical ecosystem and data sets including prescription (ex. IQVIA NPA), outlet (ex. IQVIA DDD), Lab as well as medical and pharmacy claims (ex. Symphony Claims.)
Establish and track KPIs to assess analytics impact and ensure alignment with business goals
Develop and deliver ad hoc data analyses that distill complex medical data into clear, actionable insights for stakeholders
Develop reusable code components, templates, and frameworks to support analytics scalability and lifecycle management
Collaborate with data science, IT, engineering, and external partners to ensure data access, integrity, governance, and seamless integration across platforms and systems
Contribute to Agile development workflows by collaborating in sprint planning, refining user stories, and delivering iterative analytics solutions aligned with business priorities
Continuously evaluate and introduce advanced techniques in visualization, predictive analytics, and automation

Senior Associate Data Analytics

We are seeking someone from finance background with technically strong, automati...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

4-8 years of experience in finance, analytics, automation, or applied AI
Strong Python programming skills (pandas, APIs, data processing)
Hands-on experience with LangChain or similar agent frameworks
Experience building AI agents or LLM-powered applications
Experience with workflow automation tools such as n8n
Working knowledge of GenAI tools (e.g., OpenAI / ChatGPT APIs)
Strong prompt engineering capabilities
Experience handling structured financial or operational datasets
Solid understanding of transformation analytics or performance measurement frameworks
Strong communication and stakeholder collaboration skills

Job Responsibility

Building automation pipelines using Python and workflow tools (e.g., n8n)
Designing and deploying AI agents using LangChain and GenAI technologies
Developing structured prompt frameworks to support financial and transformation analytics use cases
Creating scalable insight-generation systems to accelerate scenario modeling and value tracking
Integrating AI-powered workflows into transformation decision processes
Automation & Workflow Engineering
AI Agent Development
Prompt Engineering & LLM Optimization
Analytics & Modeling Support
Cross-Functional Collaboration

CD Excellence Data Engineering Associate

Unilever is looking for a CD Excellence Associate Data Engineer to help take our...

Location

United States , Englewood Cliffs

Salary:

71400.00 - 107200.00 USD / Year

Unilever

Expiration Date

Until further notice

Requirements

Technical aptitude and the ability to drive business value through focused technology solutions
Deep hands-on experience with cloud services such as Azure data services (e.g., Data Factory, Databricks, ADLS, Synapse, Azure SQL)
Strong proficiency in building scalable ETL/ELT pipelines using Databricks (APIs, PySpark, Spark SQL, Delta Lake)
Solid understanding of distributed computing, data lakehouse architecture, Unity Catalog and modern data engineering patterns
Ability to design and optimize data models that support analytics, reporting, and machine learning workloads
Strong SQL and Python skills, with the ability to write clean, efficient, production ready code
Proven ability to onboard new data sources, integrate APIs, and work with structured, semi-structured data
Experience designing frameworks for data ingestion, metadata management, and data lineage
Comfort working with large-scale datasets and evolving data ecosystems
Experience automating data workflows, quality checks, and monitoring using Azure-native tools

Job Responsibility

Design, build, and maintain scalable data pipelines and solutions on Microsoft Azure or similar cloud platforms
Develop and optimize ETL/ELT workflows to support high-volume, high-velocity data ingestion
Implement robust data models and structures that support analytics, reporting, and machine learning workloads
Integrate new data sources—internal and external—into the enterprise data ecosystem to expand data availability and unlock new business insights
Partner with product, engineering, business and global teams to identify opportunities for new datasets and ensure seamless onboarding
Establish scalable frameworks for data discovery, cataloging, and lineage to support enterprise wide data growth
Automate data workflows, quality checks, and monitoring using Cloud native tools and Databricks capabilities
Collaborate with data scientists to operationalize AI models using Databricks, Azure Machine Learning, or similar platforms
Ensure data readiness, reliability, and accessibility to accelerate AI adoption and experimentation
Contribute to the development of an enterprise AI strategy by identifying data gaps, opportunities, and scalable patterns

What we offer

Bonus eligible
Long-Term Incentive (LTI) eligible
Eligible to participate in benefits plan which may include health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits

Fulltime

Data Engineering Associate

Metyis is growing! We are looking for a data professional to join our Data Engin...

Location

India , Gurgaon

Salary:

Not provided

Metyis

Expiration Date

Until further notice

Requirements

3 to 6 years of experience in the field of data engineering
Graduate degree or higher with courses in programming, data analytics
Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities
Good programming skill in Python/scala or any scripting language
Good knowledge of SQL is a required
Basic knowledge and understanding of big data
Experience in Azure
Excellent written and oral communication skills in English language is a must

Job Responsibility

Independently execute data engineering projects
Diagnose problems, disaggregate issues, develop hypotheses and execute relevant solutions
Undertake processing of structured and unstructured data
Undertake work related to ELT activities
Development of data processing codes for automation & building scalable solutions
Develop and maintain data solutions for clients / projects
Communicate and interact with clients at the executive level
Collaborate with data science, reporting and product development teams

What we offer

Enjoy a high level of responsibility and immediate client interactions under the guidance of senior team members
Interact with data engineers on regular basis to drive innovation and create impact on our clients
Help our clients to target, measure and improve mission-critical business metrics and generate demonstrable return on investment
Become part of a fast-growing international and diverse team

Data Engineering Associate

Metyis is growing! We are looking for a data professional to join our Data Engin...

Location

India , Bangalore

Salary:

Not provided

Metyis

Expiration Date

Until further notice

Requirements

3 to 6 years of experience in the field of data engineering
Graduate degree or higher with courses in programming, data analytics
Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities
Good programming skill in Python/scala or any scripting language
Good knowledge of SQL is a required
Basic knowledge and understanding of big data
Experience in Azure
Excellent written and oral communication skills in English language is a must

Job Responsibility

Independently execute data engineering projects
Diagnose problems, disaggregate issues, develop hypotheses and execute relevant solutions
Undertake processing of structured and unstructured data
Undertake work related to ELT activities
Development of data processing codes for automation & building scalable solutions
Develop and maintain data solutions for clients / projects
Communicate and interact with clients at the executive level
Collaborate with data science, reporting and product development teams

What we offer

Enjoy a high level of responsibility and immediate client interactions under the guidance of senior team members
Interact with data engineers on regular basis to drive innovation and create impact on our clients
Help our clients to target, measure and improve mission-critical business metrics and generate demonstrable return on investment
Become part of a fast-growing international and diverse team

Data Analytics Associate

The Financial Steering and ALM division is a team within the Finance Department ...

Location

United States Of America , NEW YORK

Salary:

100000.00 USD / Year

Crédit Agricole

Expiration Date

Until further notice

Requirements

BA, BS STEM or related field
4–8 years of experience in Python and SQL data engineering / data science
4–8 years of experience in MIS or Systems Administration, with hands-on management of open-source systems on local infrastructure
Demonstrated experience managing databases, including user rights, row-level security, backups, restores, and multi-environment setups
Experience operating in environments with strict data governance and access control requirements
Familiarity with banking and financial concepts (e.g., interest margin, RWA, Cost of Risk, regulatory reporting)
Advanced Proficiency in Python and PostgreSQL
Quantitative skills as well as general knowledge on financial and regulatory topics related to banking activity such as Basel III
Comfortable with creating and communicating findings/results based on analytical research
Strong business analytics and data visualization skills (Power BI preferred)

Job Responsibility

Produce financial reporting and analysis for local regulators, executive management, and each business line
Ensure management and business lines have continuous, reliable, and up-to-date access to data through team-managed infrastructure
Manage and operate the CFO Solutions technical ecosystem (“Project Encyclopedia”)
Serve as Database Administration / MIS for locally developed PostgreSQL databases
Design, maintain, and operate data pipelines and analytical tools supporting financial and regulatory reporting
Develop and maintain automated reporting solutions using Python, SQL, and internal applications
Ensure data integrity, access control, and governance standards across all locally managed databases
Support Finance and Business Lines with tailored analytics and rapid-response reporting solutions
Troubleshoot data, systems, and reporting issues across the CFO Solutions platform
Coordinate with Finance stakeholders to translate business and regulatory needs into technical and analytical solutions

Fulltime

Select Country

Data Engineering & Analytics Associate

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?