ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Data Insights and Analytics Engineer
Company: NVIDIA
Location: Bengaluru, Karnataka, India
Description:
The Data Insights & Analytics Engineer transforms the Unified Commerce Platform’s (UCP) extensive commerce data into actionable intelligence that drives strategic decision-making across the organization and for our external partners. This role goes beyond standard reporting to uncover critical patterns in payment behaviors, fraud indicators, revenue optimization opportunities, and customer engagement. The ideal candidate will develop compelling data narratives that illuminate business performance, identify emerging risks, optimize marketing effectiveness, and enhance the overall commerce ecosystem for our diverse tenant base.

What You'll Be Doing


Design and develop comprehensive analytics solutions and interactive dashboards for subscription metrics, payment performance, fraud patterns, and revenue optimization
Build robust reporting frameworks with scalable solutions and customizable templates for internal and external stakeholders
Develop payment analytics, fraud detection models, chargeback analysis frameworks, and revenue leakage detection systems
Transform complex data into compelling narratives through executive-level presentations and self-service documentation
Create attribution analytics, customer segmentation models, and lifecycle analytics to optimize marketing investments
Collaborate with cross-functional stakeholders to translate business questions into technical analytics requirements
Research and implement advanced analytics techniques while staying current with industry trends
Establish data validation frameworks and monitoring systems to ensure the accuracy of financial and behavioral metrics


What We Want To See


Bachelor's degree in Data Science, Statistics, Business Analytics, or related field
5+ years of experience in data analytics with exposure to commerce, payments, or subscription businesses
Proficiency with Apache Spark and Databricks for large-scale data transformation, analysis, and developing production-ready notebook workflows
Strong proficiency in SQL and data analysis programming languages (Python, R)
Experience with business intelligence and visualization tools (AWS Quicksight, Tableau, Power BI, Looker)
Knowledge of financial metrics, payment KPIs, and risk indicators
Experience translating complex transactional data into business insights
Background in developing dashboards for different audiences with varying technical sophistication
Understanding of fraud analytics, payment performance metrics, or revenue optimization techniques


Ways To Stand Out From The Crowd


Master's degree in a relevant field
Experience with commerce platforms, payment processors, or fraud prevention systems
Background in marketing analytics, customer segmentation, or lifetime value modeling
Knowledge of machine learning techniques for anomaly detection or predictive analytics
Experience with financial reporting, revenue forecasting, or business performance analysis


JR1996856


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Job Title: Data Insights and Analytics Engineer
Company: NVIDIA
Location: Pune, Maharashtra, India
Description:
The Data Insights & Analytics Engineer transforms the Unified Commerce Platform’s (UCP) extensive commerce data into actionable intelligence that drives strategic decision-making across the organization and for our external partners. This role goes beyond standard reporting to uncover critical patterns in payment behaviors, fraud indicators, revenue optimization opportunities, and customer engagement. The ideal candidate will develop compelling data narratives that illuminate business performance, identify emerging risks, optimize marketing effectiveness, and enhance the overall commerce ecosystem for our diverse tenant base.

What You'll Be Doing


Design and develop comprehensive analytics solutions and interactive dashboards for subscription metrics, payment performance, fraud patterns, and revenue optimization
Build robust reporting frameworks with scalable solutions and customizable templates for internal and external stakeholders
Develop payment analytics, fraud detection models, chargeback analysis frameworks, and revenue leakage detection systems
Transform complex data into compelling narratives through executive-level presentations and self-service documentation
Create attribution analytics, customer segmentation models, and lifecycle analytics to optimize marketing investments
Collaborate with cross-functional stakeholders to translate business questions into technical analytics requirements
Research and implement advanced analytics techniques while staying current with industry trends
Establish data validation frameworks and monitoring systems to ensure the accuracy of financial and behavioral metrics


What We Want To See


Bachelor's degree in Data Science, Statistics, Business Analytics, or related field
5+ years of experience in data analytics with exposure to commerce, payments, or subscription businesses
Proficiency with Apache Spark and Databricks for large-scale data transformation, analysis, and developing production-ready notebook workflows
Strong proficiency in SQL and data analysis programming languages (Python, R)
Experience with business intelligence and visualization tools (AWS Quicksight, Tableau, Power BI, Looker)
Knowledge of financial metrics, payment KPIs, and risk indicators
Experience translating complex transactional data into business insights
Background in developing dashboards for different audiences with varying technical sophistication
Understanding of fraud analytics, payment performance metrics, or revenue optimization techniques


Ways To Stand Out From The Crowd


Master's degree in a relevant field
Experience with commerce platforms, payment processors, or fraud prevention systems
Background in marketing analytics, customer segmentation, or lifetime value modeling
Knowledge of machine learning techniques for anomaly detection or predictive analytics
Experience with financial reporting, revenue forecasting, or business performance analysis


JR1996856


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Job Title: Data Engineer - Content Understanding
Company: Spotify
Location: London, England, United Kingdom
Description:
We are looking for a Data Engineer to help us build structured, high-quality data solutions for our Content Understanding teams. Our teams process petabytes of data using tools such as BigQuery and Dataflow, and where needed we develop our own data tooling to support and evolve our music catalog.

What You'll Do


Take ownership over, maintain and improve data pipelines that are integral to our success
Evaluate and optimize our offerings for efficiency and reliability at scale
Identify areas of architectural improvement to remove the potential for human error
Collaborate with product and engineering teams to understand data requirements and create innovative solutions to challenging problems
Understand the analytics data we collect from our systems and how it relates to the business value being produced


Who You Are


Proven experience in data engineering, including creating reliable, efficient and scalable data pipelines for large data sets (especially in Python or Scala)
Experience in building and maintaining scalable backend systems
Knowledge of cloud-based data platforms (AWS, GCP or Azure)
Strong collaboration and communication skills with technical and non-technical stakeholders
Seek to participate in continuous improvement efforts such as software development, planning, estimating, developing and testing


Where You'll Be


This role is based in London (UK)
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home


Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
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Job Title: Data Analyst
Company: Miami HEAT
Location: Miami, FL
Description:
Do you want to work for a Championship organization? We have the job for you! We are seeking a highly skilled data analyst to join the Miami Heat and 601 Analytics. As a Data Analyst, you will be responsible for building reports and visualizations, interpreting complex relational data sets, and providing insights that will help inform key business decisions related to ticket sales, renewals, customer activities, and forecasting. The ideal candidate will have experience with data visualization and SQL and will be able to use these tools to extract and transform data into meaningful insights.

Essential Duties & Responsibilities


Work closely with various organizational entities/key partners to understand business needs
Use SQL to transform and merge large data sets to build efficient reports
Build reports and dashboards using Power BI
Identify and track key performance indicators (KPIs) and provide regular reports to management
Provide ad-hoc analysis that improves decision-making and business performance
Collaborate with other groups to identify areas for process improvement
Communicate complex data insights to non-technical partners


Desired Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Bachelor's degree in computer science, statistics, mathematics, or a related field
Relevant data analytics experience
Strong proficiency in Power BI and SQL is preferred
Hands-on experience working with Python, R, and/or related languages is preferred
Understanding of statistics and economics principles
Working knowledge of the NBA / Sports Entertainment industry
Strong analytical and problem-solving skills
Superb communication and collaboration skills
Ability to work independently and manage multiple projects simultaneously


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender/gender identity, age, disability, marital status, sexual orientation, pregnancy, genetic information, national origin, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. EOE & DFWP
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Job Title: **** *******
Company: ***
Location: *******, **
Description:
We are looking for a freelance Data Analyst to assist and support our business and data intelligence practice for a variety of our client work. This role will deliver rich data and analytics to both our internal teams in support of our client work as well as providing key insights to our clients. You are highly detail-oriented, have a working knowledge of digital analytics technologies, and have a talent for uncovering trends and insights working with data visualization technologies and data schemas.

What You’ll Do


Perform ad hoc website traffic and performance using Google Analytics 4
Prepare and produce analytics reports for our clients
Assist with data pulling, reporting and creation of presentation decks
Work daily within digital analytics platforms to explore complex data sets and make recommendations for marketing strategies and/or site design changes
Work in tandem with our Strategy and Data teams to inventory and audit existing data sources and vendors
Provide overall support to the Senior Analytics Analyst across projects


What We’re Looking For


Minimum of 4 years developing marketing performance measurement using digital analytics tools such as Adobe Analytics and Google Analytics
Proficiency in GA4 and can navigate the basics of the platform with minimal supervision beyond site specific context
Strong experience with Excel, PowerPoint and SQL
An understanding of marketing data metrics and ability to analyze said metrics
Minimum of 3 years’ experience working at/for a Digital Marketing Agency
Self-starter requiring minimal supervision


POP is an Equal Opportunity Employer that is committed to an inclusive and diverse workplace. All qualified candidates will receive consideration for employment. POP will not discriminate on the basis of race, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, physical or mental disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

Back to current openings

wearepop.com
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Job Title: **** *******
Company: *****
Location: ***** *******, *******, *********
Description:
What will you do:

The Data Analyst is responsible for conducting in-depth data analysis to assess and mitigate risks within the organization. This role involves collecting, organizing, and interpreting large datasets to identify trends, patterns, and potential risks that could impact the company's operations. The Data Analyst and Protection Officer will collaborate with cross-functional teams to provide actionable insights and recommendations to enhance risk management strategies and ensure the company's overall stability. Also ensuring the data security and recommending improvements for the data privacy and protection process, and data breach incident response plan.




Job Description :

Collect, clean, and preprocess data from various sources to ensure accuracy and completeness.
Analyze and interpret complex datasets using statistical and data visualization techniques to identify potential risks and trends.
Collaborate with risk management teams to define risk metrics and develop models for assessing and quantifying risks.
Monitor and track key risk indicators (KRIs) and key performance indicators (KPIs) to identify emerging risks and trends.
Produce comprehensive reports and presentations summarizing risk analysis findings for stakeholders and senior management.
Collaborate with IT teams to ensure data integrity, security, and compliance with data protection regulations.
Participate in the development and improvement of risk management strategies, policies, and procedures.
Stay updated on industry trends and best practices in risk management and data analysis.




Job Qualifications :

Bachelor's degree in a relevant field such as Finance, Economics, Statistics, Mathematics, or Computer Science.
Proven experience (3+ years) in data analysis or a related field (Financial Technology is a plus).
Proficiency in data analysis tools such as Python, or SQL (Query), and experience with data visualization tools (e.g., Tableau, Power BI).
Strong proficiency in Ms. Excel
Strong in data query
Knowledge of ISO 27001 is a plus point
Familiarity with financial products, markets, and regulatory requirements is a plus.
Excellent analytical skills with the ability to work with complex, large datasets and draw actionable insights.
Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders.
Detail-oriented mindset with a focus on accuracy and precision in data analysis.
Ability to work collaboratively in cross-functional teams and adapt to changing priorities.
Problem-solving mindset and the ability to think critically and creatively to address emerging risks.
Professional certifications related to risk management or data analysis (e.g., FRM, CFA, CRMA) are desirable but not mandatory.




Are you ready to be Samiritans?

We’re on the hunt for visionaries like YOU to drive meaningful impact for Samir Future 🌟

Let’s create and thrive together in a fintech environment with ideas and innovation! 🚀

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Job Title: **** ******* ****** */*
Company: ****** *****
Location: *****-****-*’***ô**, Î**-**-******, ******
Description:
Marque française, Sisley est un des leaders mondiaux de la cosmétique haut de gamme et affiche une des plus fortes croissances dans son secteur. Présent dans plus de 100 pays à travers le monde, le Groupe recherche, pour sa Direction des Opérations Groupe située à Saint-Ouen l’Aumône (95), un Data Analyst Junior H/F, en CDD.





Description du poste



Vous serez en charge de concevoir, maintenir et faire évoluer des tableaux de bord interactifs permettant le pilotage opérationnel de la supply chain. En lien avec les équipes métiers et les équipes DSI, vous transformerez les données en indicateurs clairs et exploitables pour améliorer la visibilité, la réactivité et la performance de la supply chain de Sisley.



EN NOUS REJOIGNANT, VOUS SEREZ EN CHARGE DE :



Créer des dashboards BI dans Tableau ou Fiori pour piloter la performance supply chain (stocks, livraisons, délais, taux de service, etc.)
Faire évoluer les tableaux de bord existants : intégrer de nouveaux indicateurs, optimiser la structure, améliorer l’expérience utilisateur
Travailler en étroite collaboration avec les équipes métier (logistique, opérations, achats…) pour comprendre les besoins
Garantir la qualité, la fiabilité et la cohérence des données affichées
Participer à l’industrialisation des reporting (automatisation, documentation, évolutivité)


Qualifications



LE PROFIL RECHERCHE :



Formation supérieur en Data, Supply Chain, Informatique Décisionnelle ou équivalent
Première expérience en dashboarding (stage, alternance ou projet perso) est un vrai plus
Sensibilité à la performance opérationnelle (KPI opérations, supply chain)
Esprit analytique, rigueur et autonomie
Capacité à vulgariser les résultats pour des publics non-techniques
Esprit d’équipe et bon relationnel avec les métiers
Vous êtes curieux.se, motivé.e et vous avez envie d’apprendre au contact des équipes métiers
Maîtrise d’un ou plusieurs outils de Business Intelligence (Power BI, Tableau, FIORI…)
Solides bases en SQL
Notions de modélisation de données
Maîtrise d’Excel / Suite Google


Informations supplémentaires



CE QUE NOUS VOUS OFFRONS :



Une rémunération incluant divers avantages (Participation,…)
Des missions stimulantes dans un bel environnement de travail
La possibilité de télétravail
Un programme d’intégration
Un restaurant d’entreprise sur site
L’accès aux activités sportives et culturelles
Une navette privée Sisley est à la disposition des équipes depuis la Gare de Liesse jusqu'au site de Saint-Ouen l'Aumône
Retrouvez nos engagements environnementaux : https://www.sisley-paris.com/fr-FR/sisley-x-environment.html

Sisley place la diversité et l’égalité des chances au cœur de ses préoccupations et s’engage dans ses recrutements à ne sélectionner les candidats que sur la base de critères professionnels.



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Job Title: ******** ******, **** ********* (******, ****)
Company: ***** *** *****
Location: *******, **
Description:
United States, Georgia, Atlanta

Ops Control

23-Aug-2024

Ref #: 25925

LinkedIn Tag:

How you'll help us Keep Climbing (overview & key responsibilities)

Delta Air Lines connects the world by flying 180 million customers to 300+ destinations every year. On the predictive pod of the Operations Decision Science (ODS) department, we build and deploy data science and predictive modeling tools to support this complex operation. ODS is currently seeking a graduate-level intern Data Scientist to develop insights, machine learning models, and solutions aimed at continually improving airline performance and decision making. Join our team to make a real-world impact by developing ML/AI solutions to deliver the best air travel experience.

An ideal candidate will have educational experience in machine learning, statistical analysis, and data storytelling. The candidate should have good organizational and communication skills and feel comfortable in a fast-paced environment.

Primary Functions:


Partnering with existing data scientists to develop advanced analytics solutions for complex business problems
Collecting data via SQL queries and performing exploratory data analysis
Presenting analysis to business partners in a digestible way


What You Need To Succeed (minimum Qualifications)


Pursuing a Master’s degree in Data Science, Statistics, Mathematics, Operations Research, or Computer Science
Experience working with relational databases (SQL)
Understanding of Machine Learning techniques (Python, SciKit Learn, R, SAS or other machine learning platforms)
Good written, oral communication, and interpersonal skills
Embraces diverse people, thinking and styles
Consistently makes safety and security, of self and others, the priority
Consistently prioritizes safety and security of self, others, and personal data.
Embraces a diverse set of people, thinking and styles.
Possesses a high school diploma, GED, or high school equivalency.
Is at least 18 years of age and has authorization to work in the United States.


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Job Title: Data Scientist Yape
Company: Yape
Location: La Molina, Peru
Description:
Somos más de 17 millones de yaperos y 3 millones de empresas que utilizan Yape a diario. Estamos disponibles para todos, lo que nos convierte en una plataforma única y clave del ecosistema digital del Perú.

Esperamos que te involucres en discusiones relacionadas con todos los aspectos del desarrollo de productos y tecnología.

Nuestro desafío es que estamos creciendo rápidamente y tenemos una amplia cantidad de datos que pueden ser explotados para mejorar la vida de los yaperos y nuestro negocio. Nos motiva construir un país conectado sin barreras, que fomente el crecimiento y desarrollo para todos los peruanos.

Para seguir brindando la mejor experiencia a nuestros yaperos, necesitamos el mejor talento.

Sé parte de esta emocionante misión y contribuye con nuestro propósito de hacer más simple el día a día de las personas para que sigan movilizando sus vidas.

¡Contágiate de la Vibra Yape y haz que la vida fluya!




Descripción:

En el equipo de Data Scientist podrás trabajar en iniciativas relacionadas a:

Modelos de optimización en campañas de Marketing y Growth y Journey de productos de Yape
Modelos de riesgo crediticio
Modelos de pricing




Requisitos:

Bachiller universitario de las carreras de: Ingeniería de Sistemas, Ingeniería Informática, Computación e Informática, Estadística, Economía, o tengas un postgrado en un campo relacionado.
Nivel avanzado utilizando Python como lenguaje de programación para el manejo de datos, construcción de modelos y construcción de reportes.
Para el tratamiento de datos hayas utilizado SQL a nivel intermedio y/o avanzado
Experiencia desarrollando pipelines de ML.
Experiencia deseable en Databricks.
Experiencia y conocimiento en manejo de Git
Experiencia en librerías/herramientas de visualización.
Hayas utilizado algoritmos de Machine Learning (modelos supervisados/no supervisados) para la construcción e implementación de soluciones analíticas.
Experiencia trabajando en equipos multidisciplinarios en el que se fomente la colaboración.
Habilidades para comunicarte en ámbitos técnicos y de negocios.
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