Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
Blend360 is looking for a data professional with a combination of business acumen and technical insight to maximize the value of our clients' data assets. You will understand the business problem, align stakeholders on your vision, develop a technical strategy, and oversee the implementation of critical data products that drive our clients' organization.
Job Duties
Develops and maintains a vision and plan for data assets and oversees the execution of that plan to maximize the value of the data to the organization.
Works closely with the development teams to ensure roadmap execution is on track, helps with resolving impediments and highlights key milestones/challenges.
Builds and evolves comprehensive status reports that cater to various key stakeholders and automates the process on-the-go.
Knows how to identify key client initiatives, refine and manage stakeholders as it relates to the larger project
Determines operational objectives by studying business functions; gathering information; evaluating output requirements and formats
Ability to conduct an enterprise analysis of tools and processes while building relationships with various levels of a client organization to help develop and drive a clear vision
Understands business strategy as it relates to technologies used within client engagements
Can conduct market analyses for tools and functionality available in the marketplace.
Understanding product releases as it relates to requirements and deadlines
Designs and defines new technical programs and requirements
Improves systems and processes by studying current practices; designing modifications, recommending controls by identifying problems; writing improved procedures
Qualifications
Background in Data analysis, Data Science, or Data Engineering
Experience of working on agile implementation with expertise in user stories/acceptance criteria articulation in JIRA
Strong written documentation skills
Strong verbal and client facing communication skills
A critical thinker with a consultative mindset
Strong understanding of the data industry as a whole, including tools, best practices, and functionality
Experience across 2 or more of the following technologies:
ETL processes, Analytics, Integrations with large SaaS providers
Proficient in one of the following coding languages (SQL, Python, Javascript/NodeJS) (not required but nice to have)
Experience with (cloud and on prem) Database Designs & Administration
Quick learner with good grasp on reporting needs using tools such as Excel/Power BI/ Tableau as needed.