ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Data Analyst
Company: Tech Consulting
Location: Texas, United States
Description:
Are you excited about taking your technical career to new heights with a full-time, W-2 role as a consultant in a dynamic and rapidly growing company? If you are, let's get in touch – your interest is the first step to starting the conversation. **No Sponsorship**




What This Role Requires:

1-3 years of programming experience after your degree
Must have coding experience in both Python and SQL
It is preferred that you have experience in at least one of the following additional languages: Java, C#, C++, Scala
Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake
Good understanding of object-oriented programming (OOP) principles & concepts
Familiarity with advanced SQL techniques
Familiarity with data visualization tools such as Tableau or Power BI
Familiarity with Apache Flink or Apache Storm
Understanding of DevOps practices and tools for (CI/CD) pipelines.
Awareness of data security best practices and compliance requirements (e.g., GDPR, HIPA).




To Qualify:

You should be willing to relocate anywhere in the US on a client project-to-project basis, as this is an onsite, in-office position.
Strong English communication skills, both written and verbal.
Bachelor’s Degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field.




What’s In It For YOU?

Gain valuable, career-enhancing experience working with our Fortune 1,000 clients.
Receive relocation support for training and project assignments, as required.
Enjoy comprehensive W2 employee benefits.
Access full coverage medical, dental, and vision insurance.
Qualify for 401K eligibility after one year of employment.
Benefit from basic life/AD&D and dependent disability (short/long term) coverage.




Who Are We?

We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare. Our clientele includes industry giants like Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonald's, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, and Charles Schwab, among many others. As a consultant, joining our team means you'll also have the opportunity to work with these renowned and leading companies and gain valuable, career-accelerating experience.




Company Highlights:

Our Specialization: Providing IT consulting services.
Experience: Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.




Interested in accelerating your tech career through career-enhancing IT consulting experience? Do you meet the required qualifications? If so, apply today! We look forward to hearing from you.

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Job Title: Data Analyst
Company: Helic & Co.
Location: United States
Description:
Job Summary:

We are looking for a detail-oriented and analytical Data Analyst to collect, process, and perform statistical analyses on large datasets. The ideal candidate has a strong foundation in data analytics, critical thinking skills, and the ability to transform data into actionable insights to support strategic decision-making.




Key Responsibilities:

Collect, clean, and validate data from multiple sources to ensure accuracy and reliability.
Analyze data to identify trends, patterns, and insights that inform business decisions.
Develop and maintain dashboards, reports, and data visualizations using tools like Tableau, Power BI, or similar.
Work closely with stakeholders to understand data requirements and translate them into technical solutions.
Create and maintain documentation related to data processes and analytics.
Perform exploratory data analysis (EDA) to uncover new business opportunities.
Assist in designing and implementing data models and databases for optimal performance.

Required Qualifications:

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools and languages such as SQL, Excel, Python, or R.
Experience with data visualization tools like Tableau, Power BI, or Looker.
Strong understanding of statistical methods and data modelling techniques.
Ability to work with large datasets and manage multiple tasks effectively.
Strong communication skills with the ability to present complex information clearly.

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Job Title: Data Analyst II
Company: Abbott
Location: Princeton, NJ
Description:
Title: Data Analyst II

Location: Princeton, NJ

Duration: 12 Month (100% onsite)

Job Description

We are seeking a detail-oriented and analytical Data Analyst II to support our forecasting and business analytics initiatives. This role requires strong skills in statistical modeling, data analysis, and reporting, with a focus on delivering insights to support the Integrated Business Planning (IBP) and Sales & Operations Planning (S&OP) processes.

The ideal candidate will have a solid background in mathematics or supply chain, and experience working with global teams and senior leadership. You will play a key role in generating monthly reports and ad-hoc analysis using tools such as Excel, PowerPoint, Power BI, SAP, Tableau, and BW.

Key Responsibilities


Develop, maintain, and distribute monthly reports and dashboards for global teams and leadership.
Utilize statistical modeling and forecasting techniques to support the IBP process.
Analyze and interpret large data sets to identify trends, variances, and performance metrics.
Prepare and present data insights using advanced Excel functions and visualization tools (Power BI, Tableau, SAP BW).
Create and monitor forecast accuracy reports on a monthly basis.
Support ad-hoc analytical requests and special projects as needed.


Qualifications


Bachelor’s degree in Data Science, Mathematics, Statistics, Supply Chain, or a related field.
3+ years of experience in a data analysis role, preferably in a supply chain or planning environment.
Proficiency in Excel, PowerPoint, Power BI, Tableau, and SAP BW.
Strong analytical, quantitative, and problem-solving skills.
Excellent communication and presentation skills.
Experience with S&OP or IBP processes is a plus.


Consultants Eligible Benefits Upon Waiting Period


Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account (for High Deductible Health Plans)
Flexible Spending Accounts (Health, Limited Purpose, Dependent Care, Commuter Parking and Commuter Transit)
Supplemental Life Insurance
Short Term Disability (coverage varies by state)
Long Term Disability
Critical Illness, Hospital coverage, Accident Insurance
MetLife Legal, MetLife ID Fraud, and MetLife Pet Insurance
401(k)


Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional and branded generic medicines.

Working together, Abbott and Talent Solutions partner to deliver top talent for contingent roles at Abbott, building better and healthier lives. Abbott believes all employees are essential to creating life-changing breakthroughs, performing key duties to create life-changing breakthroughs.
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Job Title: Data Analyst
Company: Apna Mart
Location: Bengaluru, Karnataka, India
Description:
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.




Responsibilities

Understand the day-to-day issues that our business faces, which can be better understood with data
Compile and analyze data related to business' issues
Develop clear visualizations to convey complicated data in a straightforward fashion




Qualifications

1 - 3 years' Data Analysis experience
Proficient in SQL

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Job Title: Alternant DATA Analyst (H/F) COMO Mercedes-Benz
Company: Como
Location: Stains, Île-de-France, France
Description:
Le groupe COMO est distributeur et réparateur agréé des marques Mercedes-Benz, Smart et Lexus sur Paris et en Ile de France.

Nous assurons une qualité de service maximale pour toutes les opérations de Ventes, d’Après-Vente et de Pièces de rechange.

La Passion, le Respect, l’Intégrité et la Satisfaction du client sont des valeurs qui animent au quotidien notre groupe.

Nous recherchons un Alternant DATA Analyst (H/F) en contrat d'apprentissage pour notre site de Stains (93240).

Nous vous prions de ne pas prendre contact par téléphone pour candidater ; mais de postuler directement en ligne.

Drivé(e) par le Data Manager, au sein du service Data, vous serez chargé(e) de fiabiliser et consolider les données de nos différents outils en collaboration avec les pôles métiers.

Concrètement, Vos Missions Seront De


Participer à la création des bases de données nécessaires à l’entreprise ;
Assurer une mise à jour et veiller à leur bon fonctionnement ;
Participer à l’analyse et l’exploration des données provenant de différentes sources (CRM) ;
Participer à la création et au maintien d’outils de pilotage ;
Mettre en forme les données afin de faciliter la prise de décision (outil BI) ;


Cette liste n’est pas exhaustive… elle pourra s’enrichir selon votre motivation et votre implication.


De niveau Bac+3, à Bac+4 vous justifiez d’une première expérience dans l’analyse et le traitement de données (dominante technique avec des connaissances DMS,
Expérience significative sur Power BI (Power Query, DAX, M)
Vous êtes passionné(e) de data, de statistiques et d’analyse,
Force de proposition, positif(ve), enthousiaste, vous aimez le travail en équipe,
Vous êtes à l’aise avec l’informatique, et vous aimez chercher des solutions et maîtriser de nouveaux outils,
Vous maîtrisez définitivement le Pack Office, et plus particulièrement Excel
Une bonne connaissance du langage Python serait un plus à votre candidature.


Les avantages à nous rejoindre


Participation au transport
Titre restaurant


Vous souhaitez vous épanouir dans un environnement ou l’énergie, la bonne humeur et les valeurs humaines sont essentielles à votre réussite ? Vous possédez le sens du service afin de répondre au mieux aux demandes de vos clients ?

Alors cette opportunité est faite pour vous !
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Job Title: Quantitative Researcher
Company: QuanTech Partners
Location: Abu Dhabi Emirate, United Arab Emirates
Description:
This leading systematic hedge fund is seeking an Equities Quant Researcher to join the UAE office supporting the operation and development of MENA quant equities strategies. The first six months of the role will be spent working with the core investment team in London.

REQUIREMENTS

3+ years' experience in a quant/systematic equities trading/research
Experience of signal analysis/construction techniques in equities data
Proficiency in Python coding
Strong communication skills

RESPONSIBILITIES

Signal and factor analysis for MENA equities
Research and back testing of systematic trading strategies
Close collaboration with colleagues across our quant, data and technology teams
Strategy performance reporting and analysis

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Job Title: Data Analyst
Company: GrowthAssistant
Location: Philippines
Description:
Join GrowthAssistant as a Data Analyst!




We're looking for a highly analytical and data-driven Data Analyst. In this role, you’ll play a pivotal part in executing promotional campaigns through precise audience targeting, performance tracking, and post-campaign analytics. You'll collaborate cross-functionally with teams across Strategy, CRM, Analytics, Product, and Brand Marketing to ensure campaign alignment and effectiveness.







Salary Range: PHP 90,000 - 100,000 per month

Note: Rate/Salary will depend on your current competencies matched to the position’s job description and requirements based on the assessment results.




The Benefits

Work Set-up: Permanent Work From Home
Bonuses:
Attendance Bonus of $ 25 for every monthly perfect attendance
Performance Bonus
Anniversary Bonus of PHP 5,000 for your 1st year in service and PHP 10,000 for 2 to 3 years in service
Referral Bonus of $ 300 for every successful referral
Holiday Paid Time Off (PTO) for 7 days in a year
Paid Time Offs (PTO) for 6 days in a year
Healthcare Plan




What You'll Do:

Collaborate with cross-functional teams to align campaign strategy and execution.
Build audience segments and automate promotional bundles using SQL.
Execute monthly lifecycle marketing campaigns, from forecasting to analysis.
Monitor campaign pacing and provide real-time updates to stakeholders.
Troubleshoot campaign data issues and offer actionable, data-backed solutions.
Extract and summarize insights from large data sets for reporting and presentations.
Support A/B testing efforts and recommend improvements for campaign optimization.




Must-Have Skills:

2–3 years of experience in marketing analytics, business intelligence, or data-heavy roles.
Strong SQL skills: complex joins, CTEs, data extraction, and editing existing templates.
Proficiency with Excel or Google Sheets (pivot tables, VLOOKUP, formatting).
Experience interpreting large datasets to drive business decisions.
Excellent communication and stakeholder coordination skills.
Comfortable working across teams and managing competing priorities.
Proactive, detail-oriented, and resourceful in ambiguous environments.
Available to work EST or CST hours.




Nice-to-Have Skills:

Background in lifecycle marketing or promotional analytics.
Familiarity with CRM platforms or lifecycle automation tools.
Experience with dashboarding tools (PowerBI, Tableau, Mode, Sigma, etc.).
Experience working in tech or fast-paced startups.
Knowledge of A/B testing frameworks and experimentation.




This is a remote role working Eastern or Central Standard Time (EST/CST), ideal for candidates in the Philippines with strong SQL, Excel/Sheets, and marketing analytics experience.




If you're ready to make an impact and grow as a Data Analyst, we’d love to hear from you! Apply now!

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Job Title: Data Analyst
Company: PyjamaHR
Location: Karnataka, India
Description:
About

In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity.

Key Responsibilities


Perform advanced analytics like cohort, scenario, time series, and predictive analysis.
Articulate assumptions, analyses, and interpretations of data in various modes.
Design data models connecting data elements from different sources.
Collaborate with BI engineers to develop scalable reporting and analytics solutions.
Query data from warehouses using SQL.
Validate and QA data to ensure consistent accuracy and quality.
Troubleshoot data issues and conduct root cause analysis.


Ideal Profile


5+ years of experience in Data Analytics, BI Analytics, or BI Engineering.
Expert level skills in writing complex SQL queries for warehouses.
Advanced skills in BI tools like Tableau, Domo, and Looker.
Intermediate skills in Excel, Google Sheets, or Power BI.
Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields.
Willingness to work with team members in different time zones.


Nice to Have


Experience with globally recognized organizations.
Hands-on experience with live projects in the SDLC.


Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI
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Job Title: Data Analyst
Company: PyjamaHR
Location: Belgaum, Karnataka, India
Description:
About

In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity.

Key Responsibilities


Perform advanced analytics like cohort, scenario, time series, and predictive analysis.
Articulate assumptions, analyses, and interpretations of data in various modes.
Design data models connecting data elements from different sources.
Collaborate with BI engineers to develop scalable reporting and analytics solutions.
Query data from warehouses using SQL.
Validate and QA data to ensure consistent accuracy and quality.
Troubleshoot data issues and conduct root cause analysis.


Ideal Profile


5+ years of experience in Data Analytics, BI Analytics, or BI Engineering.
Expert level skills in writing complex SQL queries for warehouses.
Advanced skills in BI tools like Tableau, Domo, and Looker.
Intermediate skills in Excel, Google Sheets, or Power BI.
Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields.
Willingness to work with team members in different time zones.


Nice to Have


Experience with globally recognized organizations.
Hands-on experience with live projects in the SDLC.


Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI
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Job Title: MIS Officer
Company: Cairo Bank Uganda
Location: Kampala, Central Region, Uganda
Description:
Position: MIS Officer

Reports to: Financial Planning and Analytics Manager

Department: Finance Department

Job Summary: To utilize the available information systems to generate data required to prepare reports which provide insightful information to enable management make effective and efficient decisions required to implement the bank’s strategy and facilitate efficient business operations.

Key Responsibilities


Collect, analyze and extract information from both internal and external data sources e.g., system database, market insights, online sources to produce informative insights on business performance improvement.
Generate comprehensive and well analyzed daily performance reports on bank’s business operations across business functions and departments to drive efficient management decision making.
Support in populating staff performance scorecards, product profitability scorecards, relationship managers’/officers’ performance scorecards to drive a performance culture within the Bank.
Cooperate and communicate with staff across departments to explain and assist in the integration of information management into performance management.
Continuous innovation, automation and improvement of latest data analytics, models and visualizations in MIS unit for increased actionable insights.
Support the development of quality assurance mechanisms within the MIS team and support the FP&A Manager/ CFO/ FC in maintaining efficient reporting procedures to ensure the integrity of data and satisfy all related Audits.
Ensure that all MIS reports are prepared and disseminated within business functions and support departments according to agreed service level agreements.
Automate financial reporting reports in a format agreed to with the Financial Planning & Analytics Manager.
Play a key role in roll out of new Banking products to ensure that all financial requirements are addressed by the business and IT in implementation.


Education.


A bachelor’s degree in Statistics, Quantitative Economics, Computer Science, Actuarial Science, Economics or any other related fields.


Experience.


Minimum of 2 years’ work experience preferably in any data related field
Proficient with Advanced Excel, PowerPoint
Understanding of database and data analysis technology e.g., SQL, Power BI


Skills And Competencies.


Great attention to detail and innovative application to work.
Excellent numerical & IT competence.
Critical thinker and problem-solving skills.
Viable and sound financial knowledge
Communication skills


Interested candidates should send their application letters together with their curriculum vitae to the Head of Human Resources at recruitment@cbu.co.ug no later than 5 pm, Monday 16th June 2025.
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Job Title: Data Analyst
Company: PyjamaHR
Location: Davangere Taluka, Karnataka, India
Description:
About

In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity.

Key Responsibilities


Perform advanced analytics like cohort, scenario, time series, and predictive analysis.
Articulate assumptions, analyses, and interpretations of data in various modes.
Design data models connecting data elements from different sources.
Collaborate with BI engineers to develop scalable reporting and analytics solutions.
Query data from warehouses using SQL.
Validate and QA data to ensure consistent accuracy and quality.
Troubleshoot data issues and conduct root cause analysis.


Ideal Profile


5+ years of experience in Data Analytics, BI Analytics, or BI Engineering.
Expert level skills in writing complex SQL queries for warehouses.
Advanced skills in BI tools like Tableau, Domo, and Looker.
Intermediate skills in Excel, Google Sheets, or Power BI.
Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields.
Willingness to work with team members in different time zones.


Nice to Have


Experience with globally recognized organizations.
Hands-on experience with live projects in the SDLC.


Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI
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Job Title: Data Analyst
Company: PyjamaHR
Location: Gulbarga, Karnataka, India
Description:
About

In the Analytics & AI industry, work with a strategic technology partner delivering reliable AI solutions. Drive client satisfaction and high-quality outcomes through experience and clarity.

Key Responsibilities


Perform advanced analytics like cohort, scenario, time series, and predictive analysis.
Articulate assumptions, analyses, and interpretations of data in various modes.
Design data models connecting data elements from different sources.
Collaborate with BI engineers to develop scalable reporting and analytics solutions.
Query data from warehouses using SQL.
Validate and QA data to ensure consistent accuracy and quality.
Troubleshoot data issues and conduct root cause analysis.


Ideal Profile


5+ years of experience in Data Analytics, BI Analytics, or BI Engineering.
Expert level skills in writing complex SQL queries for warehouses.
Advanced skills in BI tools like Tableau, Domo, and Looker.
Intermediate skills in Excel, Google Sheets, or Power BI.
Bachelor’s/Advanced degree in Data Analytics, Computer Science, or related fields.
Willingness to work with team members in different time zones.


Nice to Have


Experience with globally recognized organizations.
Hands-on experience with live projects in the SDLC.


Skills: Data Analytics,BI Analytics,BI Engineering,SQL,Snowflake,Redshift,SQL Server,Oracle,BigQuery,Tableau,Domo,Looker,Excel,Google Sheets,Power BI
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