Data is shaping how the world’s biggest companies make decisions, build products, and serve customers. From analytics and engineering to machine learning and business intelligence, data roles are more in demand than ever. In this guide, we explore exciting data job opportunities at global top companies, what they’re looking for, and how you can position yourself to stand out in this fast-moving, competitive field.
Senior Data Analyst, Marketing at Spring Health
Hiring Company: Spring Health
In this role you will work with the Marketing team to define metrics and KPIs that help us understand how well we’re achieving our mission of removing every barrier to mental health; the goal is to ensure that everyone who needs care is able to get it. You’ll operate in a cross functional data team that includes data scientists and analytics engineers, all of whom are working towards this goal with you. This is a full time position on our team reports to the Senior Manager, Analytics.
Applied Data Scientist at Cresta
Hiring Company: Cresta
As an Applied Data Scientist on our Insights team, you will help pioneer the next generation of Cresta features that power how enterprises understand and optimize every customer interaction. You’ll partner directly with Product Managers, Machine Learning Engineers, other Data Scientists, and a set of strategic design-partner customers to solve their biggest challenges.
Senior Data Analyst for Payment Team at GR8
Hiring Company: GR8
You’ll help us scale and optimize our payments ecosystem by owning analytics across deposits, withdrawals, PSP performance, and payment experiments — from problem framing to stakeholder-ready insights.
Join Our Telegram Channel for Instant Alerts.Data Engineer at Mento
Hiring Company: Mento
We’re looking for our first Data Engineer to build the data infrastructure that powers insights and features across our coaching platform. You’ll own data pipelines for coaching sessions, user analytics, and business operations, while establishing the foundation for our data architecture.
Data Scientist Coach (Director+) at Mento
Hiring Company: Mento
Participating in ongoing training sessions to improve coaching abilities and skills; Communicating with members via your Mento email or via chat in the Mento App in between sessions; Being an integral member of the Mento coaching community by sharing coaching tools and insights — helping enhance our coaching practices and fulfill our mission of empowering people to thrive in jobs that they love; Acting with kindness, respect, and empathy as an ambassador of the Mento community
Backend Data Engineer at Neighborhoods.com
Hiring Company: Neighborhoods.com
We’re looking for a Backend Data Engineer to build data pipelines and support our Engineering team across our real estate software platforms: 55places.com and neighborhoods.com. In this role you’ll be designing pipelines and data stores to manage terabytes of real estate data. This role will give you the opportunity to define and refine the overall data strategy for a growing tech company.
Join Our WhatsApp Channel for Instant Alerts.Staff Data Analyst at Weedmaps
Hiring Company: Weedmaps
You will serve as a mentor to more junior colleagues and help improve the quality and sophistication of analysis and visualization. You will help build reusable tools that other analysts can build on, being a force multiplier for the entire team. This is a high-visibility role combining execution with strategic influence.
Senior Data Scientist at Weedmaps
Hiring Company: Weedmaps
As a Senior Data Scientist at Weedmaps, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to our rich and unique data sets, you will help define the experiences we build for millions of cannabis consumers, businesses, and brands. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Marketing, Sales, Finance and others. You will use data and models to identify and solve problems facing all facets of our business.
Data & AI Engineer (Remote) at Infuse
Hiring Company: Infuse
We’re seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You’ll transform engineering data into actionable insights through automation, modeling, and visualization.
Data Platform Engineer at Axle
Hiring Company: Axle
We are seeking a mid-level Data Platform Engineer to help build and operate the core data infrastructure that powers large-scale, regulated healthcare and research datasets. This role is ideal for an engineer who has moved beyond “entry level,” understands how production systems behave, and wants to grow into owning complex pipelines, orchestration logic, and platform reliability.
Data Engineer at OneImaging
Hiring Company: OneImaging
We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience with Looker, AWS, MongoDB, PostgreSQL, and Terraform. You will work alongside sales, customer success and engineering to design, implement, and maintain the operational data infrastructure that powers our analytics and platform offerings.
Senior Data Engineer at Ethena Labs
Hiring Company: Ethena Labs
The Senior Data Engineer is a critical role reporting directly to the CTO. The primary mission is to rapidly deliver a reliable, production-ready market data platform that serves as the single source of truth for trading, risk, and business intelligence. The Senior Data Engineer will also serve as the go-to data expert for the firm and will be responsible for mentoring future junior data engineers or analysts.
Data Analyst – Client Coverage Group at Xapo Bank
Hiring Company: Xapo Bank
We are looking for an experienced Data Analyst to join our team. This role focuses on enabling analytics to support better financial decision-making, developing data products for the Finance and Treasury teams, and extending support to other areas as part of the data analytics team.
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