Join our global team at the forefront of the digital revolution.
At the core of every monumental transformation lies a remarkable individual. Each day, our people are accomplishing extraordinary feats through collaborative efforts, driven by our shared mission: to actualize the potential of technology and human creativity.
We understand that greatness doesn't adhere to a predetermined path. We don't hire based on credentials alone; we hire individuals, recognizing that exceptional talent can arise from diverse backgrounds. We value diversity, recognizing that talent can come from various backgrounds. We appreciate all experience types and welcome both new and seasoned professionals ready to face fresh challenges.
.svg)
Our Talent team strives to make the process easy and comfortable. It is a mutually beneficial exchange that enables us to gain insights into you as a potential team member, while also offering you an opportunity to gain an understanding of Blend360 and the possibilities it holds. Our role is to help you find the best fit in a role and easily navigate the interview process.
Meeting with internal team members, mostly in a virtual environment, is key. It gives you the opportunity to understand the role better and helps you determine if it will be the right fit.
Upon successful completion of the interview process selected candidates will receive a verbal and written job offer. The onboarding process will then commence, including orientation, training, and integration into company culture.
.png)
.png)
.png)
Find addd job like
As a Business Intelligence Consultant at Blend, Priya plays a crucial role in designing, developing and maintaining business intelligence solutions. Her responsibilities include using analytical and BI tools to deliver reports and deep dive strategic analysis, preparing and presenting compelling analytical findings to clients and senior stakeholders, and collaborating with cross-functional teams. Priya also specializes in the optimization of the front-end user experience to ensure that applications are easy to use, adding value to all of our BI solutions.
As a Business Intelligence Consultant at Blend, Priya plays a crucial role in designing, developing and maintaining business intelligence solutions. Her responsibilities include using analytical and BI tools to deliver reports and deep dive strategic analysis, preparing and presenting compelling analytical findings to clients and senior stakeholders, and collaborating with cross-functional teams. Priya also specializes in the optimization of the front-end user experience to ensure that applications are easy to use, adding value to all of our BI solutions.
As a Client Delivery Manager at Blend, James is responsible for the successful delivery of a variety of projects, ensuring that they are delivered on time and on budget, and that we maximize the value we co-create with our clients. James works closely with external stakeholders to understand their business' needs and make sure we bring them along on the data journey, and is regularly preparing presentations for, and presenting to senior client stakeholders. He also works alongside internal technical teams to identify blockers, support resolution and escalate when necessary.
As a Client Delivery Manager at Blend, James is responsible for the successful delivery of a variety of projects, ensuring that they are delivered on time and on budget, and that we maximize the value we co-create with our clients. James works closely with external stakeholders to understand their business' needs and make sure we bring them along on the data journey, and is regularly preparing presentations for, and presenting to senior client stakeholders. He also works alongside internal technical teams to identify blockers, support resolution and escalate when necessary.
.webp)
As a Data Engineer at Blend, Andrew's daily responsibilities include analysing and organising raw data, developing and maintaining data systems and pipelines, and collaborating closely with data scientists and business analysts to ensure data quality and reliability. He also plays a crucial role in mentoring junior team members, applying his technical expertise in programming languages like Python, and utilising SQL and Spark skills to create efficient data solutions that align with the client's business goals.
As a Data Engineer at Blend, Andrew's daily responsibilities include analysing and organising raw data, developing and maintaining data systems and pipelines, and collaborating closely with data scientists and business analysts to ensure data quality and reliability. He also plays a crucial role in mentoring junior team members, applying his technical expertise in programming languages like Python, and utilising SQL and Spark skills to create efficient data solutions that align with the client's business goals.
As a Data Scientist at Blend, Lieke's daily duties involve collaborating closely with clients and practice leaders to understand complex business problems and industry contexts. She conducts data cleaning, exploratory data analysis, and statistical analysis to extract key insights from raw data. Lieke also specialises in developing and validating predictive models and machine learning algorithms using advanced data science techniques, documenting her findings, and assisting clients in implementing these models into production.
As a Data Scientist at Blend, Lieke's daily duties involve collaborating closely with clients and practice leaders to understand complex business problems and industry contexts. She conducts data cleaning, exploratory data analysis, and statistical analysis to extract key insights from raw data. Lieke also specialises in developing and validating predictive models and machine learning algorithms using advanced data science techniques, documenting her findings, and assisting clients in implementing these models into production.
As a Business Intelligence Analyst at Blend, Aisha plays a crucial role in designing, developing, and maintaining automated business intelligence products. Her responsibilities include identifying business requirements, creating reporting applications with key performance indicators (KPIs) and actionable insights, and collaborating with cross-functional teams in an agile environment. Aisha also documents data flows, evaluates tools for productivity, and develops dynamic dashboards and statistical reports, contributing to the effective measurement of multi-channel campaigns for clients and ensuring the continuous improvement of BI processes within the organization.
.webp)
As a Data Scientist at Blend, Priya's daily duties involve collaborating closely with clients and practice leaders to understand complex business problems and industry contexts. She conducts data cleaning, exploratory data analysis, and statistical analysis to extract key insights from raw data. Priya also specializes in developing and validating predictive models and machine learning algorithms using advanced data science techniques, documenting her findings, and assisting clients in implementing these models into production.
As a Data Engineer at Blend, Raj's daily responsibilities include analyzing and organizing raw data, developing and maintaining data systems and pipelines, and collaborating closely with data scientists and business analysts to ensure data quality and reliability. He also plays a crucial role in mentoring junior team members, applying his technical expertise in programming languages like Python, and utilizing SQL and Spark skills to create efficient data solutions that align with the company's business goals.
Sara, in her role as an Engagement Management Lead at Blend, is responsible for managing complex and cross-functional fulfillment teams within the healthcare industry. She collaborates closely with the client's senior leadership team, providing strategic thought leadership and expertise to ensure the success of key client initiatives. Sara excels at multitasking, analyzing problems, and building strong client relationships, and her role requires her to maintain excellent organizational skills, attention to detail, and the ability to work effectively in a fast-changing environment. Additionally, she leverages her knowledge of Data Science and Business Intelligence concepts to guide the team in delivering high-impact and sustainable results for Blend's clients.
As a Marketing Execution Analyst at Blend, Christopher is responsible for overseeing the end-to-end execution of marketing campaigns across various channels for a Fortune 100 financial service client in Manhattan. His role involves managing compliance updates, coordinating with technology and product management teams, and collaborating with marketing managers to enhance the customer experience. Christopher also focuses on building cross-functional relationships with internal and external partners while identifying and implementing process efficiencies to ensure smooth and error-free campaign processes.
As a Marketing Operations Analyst at Blend, Emily's primary role involves executing marketing campaigns with precision and timeliness for a Fortune 100 client in the Card Services Prospect Marketing department. She collaborates closely with Marketing Channel Analysts and Managers, Creative Governance, Brand Teams, Legal, and Compliance to define campaign strategies and ensure compliance with marketing guidelines and standards. Emily also plays a key role in acquiring and sharing best practices to enhance campaign execution effectiveness, all while continually learning and applying new tools and processes to support the team's objectives.
As a Data Scientist at Blend, Olivia's daily duties involve collaborating closely with clients and practice leaders to understand complex business problems and industry contexts. She conducts data cleaning, exploratory data analysis, and statistical analysis to extract key insights from raw data. Olivia also specializes in developing and validating predictive models and machine learning algorithms using advanced data science techniques, documenting her findings, and assisting clients in implementing these models into production.
As a Data Engineer at Blend, Michael's daily responsibilities include analyzing and organizing raw data, developing and maintaining data systems and pipelines, and collaborating closely with data scientists and business analysts to ensure data quality and reliability. He also plays a crucial role in mentoring junior team members, applying his technical expertise in programming languages like Python, and utilizing SQL and Spark skills to create efficient data solutions that align with the company's business goals.
We celebrate the rich blend of cultures, experiences, beliefs, and backgrounds that define us.
To apply for a position, please visit our Careers page. Your unique qualifications and professional history will guide you towards the most suitable position, whether it be in data engineering, data science, consulting, sales, or internal services. We offer a multitude of options to explore and consider.
Yes, visa sponsorship is available for qualified candidates. Our dedicated immigration team will work closely with eligible candidates to facilitate the visa sponsorship process and ensure a smooth transition into our organization.
Determining the best position for you depends on numerous factors, including your skills, interests, experience, and career goals. Remember that career paths are not always linear, and it is okay to pivot or explore new opportunities. Take the time to reflect on your aspirations and seek guidance to make informed decisions about your career path.
Blend is dedicated to fostering professional growth and development for its employees. We offer several avenues to pursue growth opportunities such as structured learning academies, mentoring circles, engagement with myriad of clients and projects, leadership pathways, and global collaboration with colleagues from all corners of the globe.
Blend is committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe in creating an inclusive and diverse work environment where every employee can thrive, and where differences are celebrated and valued. We recognize that a diverse team brings a wider range of perspectives, experiences, and ideas, which leads to better solutions and innovations. Our commitment to diversity and inclusion extends beyond our workforce to our interactions with clients, partners, and the broader community. At Blend, we adhere to the principles of fairness and equity in all aspects of our business, including recruitment, hiring, promotion, compensation, and professional development. We strive to foster a workplace culture that promotes diversity, inclusion, and belonging, and we provide reasonable accommodations to individuals with disabilities. We are continuously working to create a workplace that reflects the diverse communities we serve and are open to feedback and suggestions on how we can further improve our commitment to equal opportunity. Blend is an equal opportunity employer, and we invite all qualified individuals to join us in our mission to harness the power of AI data science for the betterment of society, regardless of their background or identity. If you have any questions or require accommodations during the application process, please feel free to contact our Human Resources department at recruiting@blend360.com Your inquiry will be handled confidentially and professionally.
Blend is an equal opportunity employer, committed to fostering a diverse and inclusive workplace. We value all backgrounds and identities, recognizing the innovative potential this diversity brings. Fairness and equity guide our business practices, from recruitment to professional development. For inquiries or accommodations, contact recruiting@blend360.com.
Lorem ipsum dolor sit amet consectetur. Sit sit vel eu sed proin. Arcu bibendum in mauris urna erat magna volutpat eget. Lectus commodo consectetur egestas quis ut lobortis nunc.
.png)
Lorem ipsum dolor sit amet consectetur. Sit sit vel eu sed proin. Arcu bibendum in mauris urna erat magna volutpat eget. Lectus commodo consectetur egestas quis ut lobortis nunc.
