ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Data Analyst
Company: Insight Global
Location: Columbus, Ohio Metropolitan Area
Description:
Duration: 1 yr contract with extensions

Location: 5 Days Onsite Columbus, OH

Rate: $30-$40/hr




Must-Haves:

Education: Bachelor's or associate's degree in Statistics, Mathematics, Computer Science, or a related field.
Experience: Proven experience as a Data Analyst with 3-4 years of experience building dashboards in Power BI.
Skills: Proficient in data cleaning, fixing structural errors, formatting, removing duplicates, extracting, and discovering patterns.
Technical Proficiency: Proficiency in data analysis tools and software (e.g., SQL, Excel, R, Python).
Analytical Skills: Strong analytical and problem-solving skills.
Communication: Excellent written and verbal communication skills.
Teamwork: Ability to work independently and collaboratively in a team environment.




Day-to-Day Responsibilities:

We are looking for a meticulous and analytical Data Analyst to join our team. The ideal candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. This role involves collaborating with various departments to identify data needs and ensure data integrity.




Key Responsibilities:

Data Collection and Analysis: Collect, process, and analyze data to identify trends, patterns, and insights.
Reporting: Develop and maintain reports, dashboards, and visualizations to communicate findings effectively.
Statistical Analysis: Apply statistical techniques to interpret data and provide actionable recommendations.
Collaboration: Work with cross-functional teams to understand data requirements and deliver solutions.
Data Quality: Ensure the accuracy and integrity of data by performing regular audits and validations.
Documentation: Document methodologies, processes, and findings to ensure transparency and reproducibility.







This role is ideal for someone who is passionate about data and enjoys turning complex information into actionable insights. If you meet the qualifications and are excited about this opportunity, we would love to hear from you!

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Job Title: Senior Data Analyst
Company: SHEIN
Location: New Jersey, United States
Description:
Position Summary：

SHEIN is hiring the Senior Data Analysis Specialist I for OM Team based in New Jersey. The OM team is a group of operational leaders driving KPI management, tracking actual operation performance versus plan, reporting the corresponding cost drivers, diving deep on savings opportunities, and helping to hold the business owners accountable. You will use solid operation knowledge and business acumen to build data analytical models, interpret data, draw conclusions, and make recommendations at an insightful level that brings the teams on the same page, prioritize programs and resources, drive improvements, and deliver results. We’re seeking a full-time Senior Data Analysis Specialist I for our City-based corporate office.




Job Responsibilities：

Analyze logistics performance metrics, including transportation spend, delivery times, inventory levels, and warehouse efficiency.
Develop and maintain dashboards and reports to visualize key logistics data for stakeholders.
Collaborate with cross-functional teams to identify data-driven solutions for logistics challenges.
Conduct in-depth analyses to support operational improvements and process optimization.
Monitor trends in logistics data and provide timely insights to management.
Ensure data accuracy and integrity by implementing best practices in data collection and analysis.
Assist in the development of forecasting models to predict logistics needs and performance.
Mentor and guide junior analysts in data analysis techniques and methodologies.




Job Requirements：

Bachelor's degree in Data Science, Statistics, Logistics, Supply Chain Management, or a related field; Master's degree preferred.
5+ years of experience in data analysis, with a focus on logistics or supply chain metrics.
Proficiency in analytical tools and programming languages such as SQL, Python, or R. Experience with data visualization tools like Tableau, Power BI, or similar platforms.
Strong knowledge of logistics and supply chain concepts and metrics.
Excellent problem-solving skills and attention to detail.
Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
Experience with statistical analysis and modeling techniques.

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Job Title: Data Analyst
Company: Bell & Associates, Inc.
Location: Nashville, TN
Description:
Data Analyst (Remote) – 24-Month Contract

Remote (U.S.-based preferred)

Duration: 24-Month Contract

$80k-$100k, depending on experience




We are seeking a Data Analyst for a 24-month remote contract opportunity to support enterprise-level analytics initiatives. This role requires a high level of expertise with Google BigQuery + BI Tools (commonly referred to as Google BBT). The ideal candidate is a data storyteller who thrives in fast-paced environments and is adept at leveraging modern data tools and cloud platforms.




Key Responsibilities

Develop, maintain, and optimize dashboards and reporting solutions using Google BigQuery and BI Tools.
Analyze large, complex data sets to identify trends, insights, and opportunities for business improvement.
Collaborate cross-functionally with product, engineering, and business stakeholders to define KPIs and performance metrics.
Write, troubleshoot, and optimize complex SQL queries in BigQuery.
Ensure data quality and integrity through routine audits and validation.
Provide ad hoc reporting and support for data-driven business decisions.




Required Qualifications

3+ years of experience in a data analytics or business intelligence role.
Proven experience using Google BigQuery + BI Tools — this includes tools like:
Looker (owned by Google)
Google Data Studio / Looker Studio
Tableau, Power BI, or other BI tools integrated with BigQuery
Strong proficiency in SQL, with hands-on experience querying large datasets in Google BigQuery.
Solid understanding of data modeling, ETL processes, and cloud-based data infrastructure.
Excellent communication and documentation skills.
Bachelor’s degree in Computer Science, Data Science, Analytics, or a related field.

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Job Title: Data Analyst
Company: Engine
Location: United States
Description:
Join Our Journey at Engine

At Engine, we're revolutionizing work travel. Our modern travel platform isn't just about booking trips; it's about transforming how businesses and their teams experience travel. From seamless booking options with top airlines, hotels, and car rental providers to single-invoice billing and flexible trip modifications, we make travel not only easier to manage but also enjoyable. Backed by powerhouse investors like Telescope Partners, Blackstone, Elefund, and Permira, we're growing fast—and we want you to be part of it.

Your Mission:

As part of the Engine team, you'll play a vital role in an environment where innovation meets collaboration. Here's what you'll take charge of:


Partner with stakeholders across product, accounting, finance, supply, and client operations to lead metrics definition, reporting and analyses
Design, build and communicate statistical analyses to both answer business questions and proactively derive actionable insights
Build relevant data pipelines to generate and track relevant product and business metrics
Partner with data engineers to establish data assets and feature stores for process automation, advanced analytics, and machine learning model
Manage the company's business intelligence reporting dashboards


What You'll Bring to Engine:

We're looking for someone who's ready to make an impact and grow alongside us:


Experience: 4+ years of hands-on experience as a Data or Business Analyst with a track record of manipulating, and extracting value
Skills: You're a problem-solver with experience utilizing Python and SQL, and you thrive in fast-paced, innovative environments
Tech-Savvy: Bonus points if you're fluent in Snowflake, Looker, NetSuite, Adaptive Insights
Mindset: You're ready to roll up your sleeves, collaborate, and deliver results that matter


Strong preference for candidates located in one of our hubs: Tempe, AZ, Denver, CO, Boston, MA.

The Engine Edge: Perks & Compensation

We believe in rewarding great work with great benefits:


Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
Benefits: Check out our full list at engine.com/culture.
Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you need to succeed.


Perks and benefits may vary based on employment type, location, and more.

Ready to Build the Future of Work Travel?

Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let's make travel simpler, smarter, and more enjoyable—together.
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Job Title: Data Analyst
Company: AARATECH
Location: California, United States
Description:
The Data Analyst is tasked with collecting, analyzing, and interpreting large sets of data to help drive informed business decisions. You will work with cross-functional teams to turn data into actionable insights, supporting strategic initiatives and operational improvements.




Key Responsibilities:

Data Collection & Management: Gather and manage data from various sources, ensuring its quality and accuracy.
Analysis & Interpretation: Analyze trends, patterns, and anomalies in data sets using statistical techniques.
Reporting & Visualization: Develop reports, dashboards, and visualizations to communicate findings clearly.
Collaboration: Work with different teams to understand their data needs and provide tailored analytical support.
Tool Utilization: Leverage tools such as SQL, Excel, and BI software (e.g., Tableau, Power BI) to perform analyses.
Data Governance: Assist in the development and implementation of data governance best practices.




Qualifications:

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
2+ years of hands-on experience in data analysis.
Proficiency in data querying and analysis tools (SQL, Excel) and familiarity with data visualization platforms.
Strong analytical skills with an eye for detail.
Excellent communication skills and ability to translate technical findings for non-technical stakeholders.




Benefits:

Competitive salary with performance-based incentives.
Comprehensive benefits package including health, dental, and retirement plans.
Opportunities for continuous learning and professional growth in a data-driven environment.

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Job Title: Senior Data Analyst
Company: Jake Taylor
Location: United States
Description:
We are a rapidly growing digital platform for professionals, providing modern marketing solutions and an AI-powered mobile platform. Our services help professionals attract more business, work more efficiently, and better serve their clients. Since launching over 8 years ago, we have been trusted by thousands of professionals, including top industry leaders. Currently, we are in search for a Senior Data Analyst who will deliver recommendations and actionable insights to key stakeholders to help drive revenue.




What You’ll Do

Develop and implement data-driven strategies to refine market approaches, focusing on efficiency, growth, and customer engagement.
Tackle complex, ambiguous challenges by designing innovative analytical and data-centric solutions.
Contribute to the creation of predictive frameworks that enhance both strategic and operational efforts.
Design and maintain data-driven insights through dashboards, reports, and analytical tools to support decision-making across various business functions.
Collaborate with leadership and key stakeholders to establish and track critical performance indicators.
Construct and optimize data structures and models using modern tools to enable seamless analytics and reporting.




Must Haves

Proficiency in SQL
Proficiency in any statistical programming language (i.e, Python or R)
5+ years in doing analytics with a robust understanding of statistical concepts
Experience working with BI tools (Sigma, Tableau, SiSense, Hex, or Looker etc)
Experience building predictive/forecasting models
Ability to work independently, and lead projects from start to finish
Ability to handle multiple stakeholders, and prioritize competing requests
Ability to identify and push for process improvements for the teams we support
Ability to communicate technical concepts to both technical and non-technical audiences through visualizations and presentations
Ability to partner with leadership and stakeholders across the company to understand business needs and how these can be addressed through analytics
Experience supporting any GTM teams including Sales, Marketing, or Customer Success




Nice to Haves

M.S. in Math, Statistics, or closely related quantitative field
Experience with Snowflake and dbt
Experience building supervised and unsupervised learning models
Experience working in a B2B or SaaS company

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Job Title: Sr. Data Analytics and Visualization Analyst ($95,000 - $110,000 salary)
Company: Korn Ferry
Location: Sandy Springs, GA
Description:
Our client is a premier healthcare company with 46,000 engaged team members who are focused on delivering quality, value, and exceptional patient experience through specialized services and protocols in more than 1,650 hospital and health system locations in 48 states.




Job Summary

Sr. Analyst of Data Analytics and Visualization




Overview: As the Sr. Analyst of Analytics, you'll be at the forefront of transforming data into actionable insights. This dynamic role involves managing and developing cutting-edge analytics tools to drive data-driven decision-making. You'll oversee all phases of analytics projects, from defining problems to presenting solutions, and collaborate with key leaders to enhance outcomes and implement best practices.




Key Responsibilities

Dashboard Development: Create and maintain dashboards, reports, and analytical tools (QlikView, Power BI) that are essential for the business and clients. Master best visualization practices and user experience.
Strategic Leadership: Lead analytics on key strategic initiatives, driving results through operations teams and clients.
Collaboration: Share best practices and foster collaboration with team peers.
Client Communication: Exhibit strong executive-level client-facing skills, confidently explaining complex analytical concepts to non-technical audiences.




Ideal Candidate

Passionate and Self-Motivated: Driven by a passion for analytics and continuous improvement, with a proven track record of achieving outcomes.
Hands-On Experience: Skilled in building dashboards from scratch and managing all phases of analytics projects.
Analytical Expertise: Extensive knowledge of data analysis and its application to large-scale business problems.
Technical Proficiency: Proficient in BI programs (e.g., QlikView/Sense, Tableau, PowerBI), SQL, Excel, and PowerPoint.
Excellent Communicator: Strong communication and collaboration skills, effective in cross-functional team environments.




Job Qualifications

Educational Background: Bachelor’s Degree in a related field; MBA/Master’s preferred.
Experience: 4+ years of relevant experience.
Certifications: Relevant certifications (e.g., Udemy, Data Camp) are preferred.







Compensation: $95,000 - $110,000 salary plus bonus




SE: 510734702

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Job Title: Data Science Analyst II
Company: Experian
Location: Costa Mesa, CA
Description:
Job Posting - Salary Range: See pay range in the job description below

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money. 

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. 

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com

Job Description

Employer: Experian Information Solutions, Inc.

Job Title: Data Science Analyst II

Job Location: 475 Anton Blvd., Costa Mesa, CA 92626

Perform analysis on existing statistical/predictive models and explain analysis results to internal business teams and external clients; Perform ETL (Extract, Transform and Load) on modeling data; Perform fraud analysis, create new features for modeling; Create and implement machine learning models to detect fraud; Developing tools for data processing and model building; Collaborate with technology and other business teams; Data visualization of model performance metrics; Continual learning of new technologies and data science. May telecommute.

Qualifications

Employer will accept a Master's degree in Statistics, Mathematics, Data Science, Computer Science or related field. Position requires experience in the following:


Experience with Python scripting to create model building tools, generate model performance metrics and data mining.
Experience with cloud tools, e.g. PySpark, to analyze big bureau data on the cloud.
Experience evaluating and interpreting data from a statistical perspective with ELT ( extract, load, transform) tools such as open source Python/Pyspark tools and fraud analysis tools such as bivariate analysis.
Experience with predictive modeling techniques, including feature engineering, feature reduction, machine learning algorithms
Experience with presenting model performance and statistical findings to an audience who is not familiar with statistical modeling.


Additional Information

Pay range for this role is $97,375.00-$120,560.00, with actual pay based on work location, job-related skills, experience and education. Role incl. variable pay and comprehensive benefits. To apply please go to https://www.experian.com/careers/ and search requisition number REF24679B
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Job Title: Data Analyst (various levels open)
Company: HRCap, Inc.
Location: United States
Description:
About the Job

[VVIP HRCap Clients] Start-ups, PEs, JVs, Global SMBs, Fortune 500s
[Industries] AI, Automotive, Beauty, Consumer Electronics, Cosmetics, Construction, E-Commerce, Energy, EV, Fashion, Financial Services, Healthcare, Investment, Manufacturing, Technology, and more.
[Location] CA, TX, MI, IL, GA, NJ, NY, PA, CT, and more (remote included)







Role Description

Our clients are seeking Data Analysts (various levels open depending on experience and relevant skills) to join their U.S. teams.




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

Identify, analyze, and interpret trends or patterns in complex data sets
Filter and mine data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
Compile and analyze data specifically related to business' issues
Develop clear visualizations to convey complicated data in a straightforward fashion







Qualifications

Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience
Relevant Data Analysis experience
Proficient in SQL







===




About us

HRCap, Inc. is a Top 10 Executive Search & HR Consulting Company and the largest Global Asian American Search Firm in the world. Established in 2000, we partner with over 1500 VIP client organizations ranging across Fortune 500s, global medium-sized businesses, PE firms, venture capitals, and tech start-ups across all industries and operate globally with a focus in North America, Europe, and APAC regions. We offer customized workforce strategies, executive search, technical recruiting, succession planning, HR training & development, and executive coaching for effective globalization and localization. We are trusted HR advisors, strategic business partners, and cultural ambassadors to our clients, candidates, and community. www.hrcap.com




Anniversary CSR event

📢🎁 Our anniversary CSR event will offer free career coaching and LinkedIn Optimization service to 2️⃣5️⃣ HRCap followers who meaningfully engage with us on our 3 core visionary themes. Anyone who follows us, engages in the event, and comments on the prompt is eligible to win a free LinkedIn Optimization Service. We will be selecting the winners based on timing, content, and relevance, then closing the event as soon as we identify our 25 winners! https://www.linkedin.com/events/7325221064110731265

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Job Title: Data Analyst
Company: Insight Global
Location: Greater St. Louis
Description:
*4 days onsite, 1 day remote*

*6 month contract + extensions or conversion to full time employee*




JOB DESCRIPTION

Insight Global is looking to add an Operational Data Analyst to a client's team in their Logistics department in St. Louis, MO. The Analyst will apply solid understanding of the client's logistics capabilities and processes and network architecture methods to isolate and resolve supply process/ system issues, identify ways to systematically improve the accuracy of operational needs to set short- and long-term goals for production, capacity, and distribution, and support continuous improvement projects to drive process standardization and efficiency improvement. Some additional responsibilities will include: reviewing and owning key performance indicators, finding opportunities to improve performance and executing implementation of said improvement, modeling demand and supply efficiency scenarios to ensure the preparedness and flexibility of the supply chain, work cross functionally to ensure inputs to planning model accuracy, optimizing the network volume allocation to minimize costs while delivering extraordinary service level, and focusing on better world initiatives through minimizing miles traveled to deliver network plan. The ideal candidate will come from a background working within finance, mathematics, or statistics. This person must be able to work 4 days onsite in St. Louis, MO




REQUIRED SKILLS AND EXPERIENCE

Experience using BI tools for dashboards/reporting (Power BI, Tableau, Qlik, etc)

Well-versed in SQL queries to pull data for reporting and analysis

Experience analyzing financial data, budgets and forecasting

Advanced Excel skills (pivot tables, v-lookups)

Excellent communication and collaboration skills

Bachelor's Degree in Mathematics, Finance, Accounting, Statistics, or related

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