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.
- 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.
- Experience conducting A/B testing a huge plus.
