ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Analista de Business Intelligence Júnior
Company: iFood
Location: Osasco, São Paulo, Brazil
Description:
Nosso Modo de Fazer no Time:

Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante. Junte-se a nós e faça parte de uma equipe que está sempre à frente com tecnologia de ponta e inovação constante.

Seu Cardápio Diário:


Elaborar análises de dados para apoiar a tomada de decisão e impulsionar a eficiência operacional.
Desenhar, executar e analisar testes para a melhoria contínua dos processos.
Construir e manter dashboards que acompanhem as iniciativas em andamento.
Influenciar e mobilizar stakeholders das áreas de operações, dados e tecnologia.
Estruturar apresentações táticas e executivas para comunicar resultados e estratégias.


Ingredientes Que Buscamos:


Proatividade e resiliência em ambientes dinâmicos.
Perfil analítico e investigativo com forte senso crítico e atenção aos detalhes.
Senso de dono e desejo constante de aprendizado.
Capacidade de trabalhar em equipe com excelente comunicação verbal e escrita.
Conhecimento em ferramentas de visualização de dados e SQL.


Para Realçar o Sabor:


Curiosidade e capacidade de resolver problemas com raciocínio lógico e estruturado.
Motivação para identificar oportunidades de melhoria e propor soluções inovadoras.
Habilidade para entregar resultados de alto impacto.


Buscamos uma pessoa apaixonada por dados e inovação, que esteja sempre em busca de novos aprendizados e que goste de desafios. Se você se identifica com este perfil, adoraríamos conhecer você!

Ref. 27136
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Job Title: Analista de Análise de Dados Junior
Company: C6 Bank
Location: São Paulo, São Paulo, Brazil
Description:
Nossa área de análise de dados

O time de análise de dados do C6 Bank está buscando um(a) novo(a) integrante que irá atuar diretamente com as áreas de negócio, apoiando no desenho e implantação de datamarts e preparando os dados para consumo. Você transitará entre áreas técnicas e de negócio e deverá ser capaz de se comunicar bem com diferentes tipos de profissionais.

Suas atividades como CSixer


Realizar o levantamento de requisitos junto as áreas de negócio;
Desenhar e desenvolver o modelo de dados para atender os requisitos;
Colaborar com o time de engenharia no entendimento dos dados de novas ingestões;
Apoiar usuários com dúvidas nas bases de dados ou ferramentas de exploração.



Requisitos e experiência


Excelente capacidade de comunicação e trabalho em equipe, além de boa capacidade analítica;
Experiência em linguagem SQL;
Conhecimento em plataformas de cloud, como Google Cloud ou AWS;
Conhecimento em metodologia ágil.



Nossos Benefícios


Vale-Refeição;
Vale-Alimentação;
Plano e saúde e odontológico;
Auxílio-Creche;
Seguro de Vida;
WellHub;
Conexa | Psicologia Viva - Terapia online sem custo;
Cartão de Crédito C6 Bank Carbon;
Carbon Spa - Salão de beleza localizado em nosso escritório;
Sala de amamentação;
Empresa Cidadã - Prorrogação do prazo da licença-maternidade e licença-paternidade;
Bicicletário;
Vestiário;
Espaço de convivência - Videogame, mesa de sinuca, playball, churrasqueira, chopeira, lanchonete, diversos locais de descanso, redes, cesta de basquete e horta colaborativa e orgânica.



C6 BANK

O BANCO DA SUA VIDA

Atendemos pessoas físicas, MEIs e PMEs em todos os estados do Brasil. Sem agências físicas para te prender, oferecemos mais de 90 produtos e serviços financeiros feitos para todos os perfis de clientes.

Estamos localizados em São Paulo-SP e contamos com mais de 3.000 CSixers que estão sempre a mil por hora. Em pouco mais de cinco anos, conquistamos muitos prêmios e reconhecimentos.

Confira o vídeo para conhecer mais sobre nós:
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Job Title: Data Intern
Company: Doing Things
Location: New York, NY
Description:
At Doing Things, our process is unique, but our purpose is clear. We connect consumers across the world through humor and happiness. Doing Things is responsible for the funniest, most shareable, and culturally relevant memes and video content on the Internet. The company is making ordinary life relatable, humorous and entertaining through a portfolio that includes some of the most popular brands built on Instagram, including Middle Class Fancy, Shithead Steve, Overheard, Recess Therapy, Bob Does Sports and Animals Doing Things, among others. Through its IP, Doing Things fuels consumer products, branded content, video licensing, publishing and original entertainment across digital and linear TV.

Founded in 2017, Doing Things touts more than 35+ unique brands and delivers more than 100 pieces of original and curated content daily to an audience of more than 80 million followers across Instagram, Facebook, TikTok, YouTube and Snap. This includes the company’s fast-growing direct-to-consumer products business, featuring comedic apparel and accessories based on what’s trending, as well as our Breezy golf apparel line.

Today, Doing Things is looking to expand its team as we extend our reach to bring smiles to millions of new community members across the globe.

Responsibilities:


Accurately input data into company databases and systems
Verify and correct data discrepancies
Maintain confidentiality and security of data
Collaborate with team members to ensure data accuracy
Generate reports and prepare data for analysis
Perform administrative tasks as needed


Qualifications:


Must be a college student, currently enrolled, with the ability to receive college credits for internship
Must be based in New York, NY or Los Angeles, CA
Attention to detail and strong organizational skills
Basic understanding of data management
Basic analytical skills
Good communication skills, both written and verbal
Ability to work independently and collaboratively
Proficiency in Instagram Insights
Proficiency in Google Workspace


Powered by JazzHR

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Job Title: Data Analyst
Company: Hanson Lee
Location: London Area, United Kingdom
Description:
My client are an Insurance consultancy seeking a highly skilled Senior Data Analyst with expertise in Azure Services to play a pivotal role in designing and developing data solutions within our organization.




Role Type: Permanent/ Hybrid

Location: London




Responsibilities

Interpret data, analyze results using statistical techniques, and provide ongoing reports.
Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Identify, analyze, and interpret trends or patterns in complex data sets.
Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Work closely with management to prioritize business and information needs.
Locate and define new process improvement opportunities.




Requirements

Proven working experience as a Business Data Analyst.
Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.).
Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Adept at queries, report writing, and presenting findings.
Experience working with large datasets and distributed computing tools (Hadoop, Spark, etc.)
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.).
Experience with data profiling tools and processes.
Knowledge of Microsoft Fabric is desirable.
Professional experience as a Data Modeler/Data Architect in P&C insurance, preferably reinsurance
Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.




Good to Have:

Experience with CI/CD pipelines.
Strong understanding of Agile/Scrum methodologies

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Job Title: Data Analyst
Company: Amplytics
Location: San Francisco Bay Area
Description:
Position Overview:

We are seeking an experienced Data Analytics Consultant with strong Microsoft Power BI expertise to join our team. In this role, you will help clients transform their data into actionable insights through effective dashboarding, reporting, and analytics solutions.




Key Responsibilities:

Consult with clients to understand their business requirements and data needs
Design, develop, and deploy Power BI reports, dashboards, and visualizations
Transform raw data into meaningful insights using DAX, Power Query, and other BI tools
Create data models that effectively connect multiple data sources
Implement data governance best practices and ensure data quality
Provide training and support to client teams on Power BI usage
Stay current with Power BI updates and industry best practices
Document solutions and knowledge transfer to client teams




Qualifications:

Required

Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related field
3+ years of experience with Microsoft Power BI development
Strong understanding of data modeling, ETL processes, and dimensional modeling
Proficiency with DAX, M language, and Power Query
Experience with SQL and database concepts
Excellent analytical and problem-solving skills
Strong communication and client-facing skills




Work Location

This position requires onsite presence at client locations and/or our San Francisco office up to 2 days per week. Candidates must reside within a commutable distance of the San Francisco Bay Area. This position is hybrid (partial remote/partial onsite) and is not eligible for full remote work.




About Us

Amplytics is a specialized consulting firm helping energy companies transform data into business value. We combine advanced analytics with deep energy sector knowledge to uncover insights that empower organizations to pioneer the future of energy services. Learn more at theamplytics.com




Compensation

As required by California law, the base salary range for this position in San Francisco is $90,000 to $130,000. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed between the entry point and the middle of the range, the decision will be made on a case-by-case basis related to these factors.




Amplytics is an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at operations@theamplytics.com

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Job Title: Data Analyst
Company: ShimentoX
Location: United States
Description:
Job Title: Data Analyst with experience in Hogan Systems

Location: [USA REMOTE]

Job Type: [Contract]

About the Role:

We are seeking a highly skilled Data Analyst with experience in Hogan Systems to support data-driven initiatives and analytics in our core banking and financial systems. The ideal candidate will bring a strong understanding of data management and analytics principles, combined with hands-on experience working with Hogan, particularly in areas such as CIS (Customer Information System), ALS (Automated Lending System), or other Hogan modules.

Key Responsibilities:

Extract, analyze, and interpret large datasets from Hogan systems to support business decision-making.
Collaborate with cross-functional teams (business analysts, developers, product owners) to identify data needs and deliver actionable insights.
Develop, maintain, and optimize SQL queries and scripts to pull data from Hogan and related data warehouses.
Create reports and dashboards that clearly communicate trends, patterns, and predictions using relevant data.
Provide support in data mapping, data quality, and reconciliation efforts related to Hogan data.
Assist in data migration and integration projects involving Hogan and other enterprise systems.
Perform root cause analysis for data inconsistencies and implement solutions to ensure data accuracy.
Work closely with compliance and audit teams to ensure data handling meets regulatory standards.

Required Qualifications:

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field.
3+ years of experience as a Data Analyst or similar role, with a focus on banking or financial services.
Strong hands-on experience with Hogan systems (CIS, ALS, ILP, etc.).
Proficiency in SQL and working with relational databases (e.g., DB2, Teradata, Oracle).
Familiarity with data visualization tools like Tableau, Power BI, or similar.
Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

Experience with ETL tools and processes.
Understanding of core banking processes and financial data structures

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Job Title: Data Analyst
Company: Simera
Location: United States
Description:
We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to provide insights that drive business decisions. The Data Analyst will work closely with cross-functional teams to interpret trends, identify patterns, and present actionable recommendations.




Key Responsibilities:

Collect, clean, and interpret data from multiple sources.
Develop reports, dashboards, and visualizations to communicate insights.
Identify trends and patterns to support strategic decision-making.
Work with stakeholders to define key performance indicators (KPIs) and metrics.
Perform statistical analysis and predictive modeling.
Ensure data integrity and accuracy.
Assist in the automation of data collection and reporting processes.




Qualifications:

Bachelor’s degree in Data Science, Statistics, Business, or a related field.
Proficiency in data analysis tools such as SQL, Excel, Python, or R.
Experience with data visualization tools (e.g., Tableau, Power BI).
Strong problem-solving and critical-thinking skills.
Excellent communication and presentation abilities.
Ability to work with large datasets and extract meaningful insights.

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Job Title: Jr. Data Scientist
Company: Matlen Silver
Location: United States
Description:
Title: Junior Data Scientist

Contract Duration: 6+ months

Duration: 6+ months

Environment: REMOTE

Compensation: $62-$65/hour on W2

** Due to client requirements , USC or GC holders only **




MINIMUM REQUIREMENTS

2+ years' recent experience as a Data Scientist for a company. Must have experience training machine learning models and applying generative AI models to solve business problems
Strong programming skills with tools like Python and PySpark
Someone who has programming, math, critical thinking, business intuition, and communication skills.
Experience with statistical software and database languages
Must possess a bachelor's and master's degrees from accredited colleges

Responsibilities:

Support departments such as GTM, Portfolio Management, Customer Care, and Digital.
Process data using Python, PySpark, and Databricks
Learn the job while performing hands-on analytics and modeling
Adhere to our culture of humility, curiosity, and impact







About Matlen Silver

Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works.




Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status.

If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: info@matlensilver.com // 908-393-8600

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Job Title: Graduate Data Scientist
Company: Zazzle
Location: Cork, County Cork, Ireland
Description:
Zazzle is looking for an analytically minded Data Scientist to join our Marketing Science team. This role focuses on leveraging large datasets to drive insights and decision-making across our marketing channels, including Search, Social, Customer Retention, TV and more. You’ll work closely with marketers to optimize performance, integrate data sources, and develop models to improve marketing effectiveness using SQL, Python, and cloud-based analytics tools.

What You’ll Do


Partner with marketing teams to analyze and optimize campaigns across SEM, Social, Customer Retention, and other paid and organic channels. Present findings and make recommendations in an impactful way.
Work with large datasets from internal sources and ad platforms, using cloud-based databases (BigQuery, SQL) and data transformation tools (dbt) to integrate and analyze marketing data efficiently.
Develop automated reporting solutions that support teams at all levels, including executives.
Build models for customer acquisition, churn prediction, lifetime value (LTV) and marketing attribution.
Design and evaluate marketing experiments, driving decision making for marketing strategy.


What We’re Looking For


A degree in Analytics, Mathematics, Statistics, Computer Science, or a related field.
Proficiency in SQL and experience with large-scale databases (BigQuery, Redshift, Snowflake or similar).
Strong Python skills (pandas, numpy, etc.) for data analysis and automation.
A curiosity about marketing data and how digital advertising works (e.g., PPC, social media, email marketing).
Ability to communicate complex data insights to non-technical audiences.
A curious and business-driven mindset with a passion for problem-solving.


Bonus Points


Experience with cloud platforms like GCP, AWS or Azure.
Familiarity with version control tools (Git, Bitbucket)
Experience with the marketing measurement trifecta (experiments, attribution modelling, MMM)
Hands-on experience with data visualization tools like Tableau or Looker.
Hands-on experience setting up a website and implementing tracking (e.g., configuring Google Analytics, setting up conversion tracking, or managing tags).
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Job Title: Data Scientist
Company: DoorDash
Location: New York, United States
Description:
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.




Responsibilities

Analyze raw data: assessing quality, cleansing, structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with engineering team to bring analytical prototypes to production
Generate actionable insights for business improvements




Qualifications




Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
At least 4 years' of experience in quantitative analytics or data modeling
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
Fluency in a programming language (Python, SQL)

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Job Title: Data Scientist
Company: EXL
Location: Gurugram, Haryana, India
Description:
Role:




Data Scientist (Marketing Mix Modelling )

Responsibilities:

Own, develop, train and deploy MMM models (regression + optimization) in close collaboration with marketing and business teams
Create Optimization Framework for resource allocation within marketing in close collaboration with business/marketing teams to define constraints
Design and build data extracts using SQL, prepare and standardize relevant datasets from various data sources to support Marketing Mix Modeling (MMM) data pipeline, while data maintenance exercise like cleaning, and QA as necessary
Support the development and maintenance of recurring reporting and insight development related to MMM, marketing campaign performance, forecasting, and other marketing team and MMM activities
Design and build visualizations that present findings from modeling, optimization and analysis phases (e.g. ROAS trends, channel mix over time, and funnel performance dashboards)
Present findings/recommendations to all levels of management leveraging an understanding of typical marketing channel behaviors
Build hypothesis on channel-level knowledge of media partners, tactics, objectives and buy-types and communicate test results to technical and non-technical stakeholders
Build simple tools for business to interact with MMM models and generate budget and plans per requirements and constraints interactively

Requirements:

Bachelor's degree or above in a quantitative field
4+ years of Data Science experience with projects delivered end to end in marketing or retail
Hands on experience with MMM and other marketing models
An understanding of marketing business/strategy/objectives
Good communication and presentation skills
Tech skills:
Python
SQL (Bigquery experience preferred)
Machine Learning

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