
Technical Business Analyst
1 day ago
Key Responsibilities:
Requirement Gathering:Collaborate with stakeholders to understand project objectives
and gather detailed requirements related to data deletion (if applicable) or analytics
initiatives.
Data Analysis: Utilize analytical tools and techniques to analyze complex datasets,
identify trends, and extract actionable insights that contribute to business decision-
making.
Technical Solution Design:Work closely with technical teams to translate business
requirements into technical specifications, ensuring alignment with project goals and
objectives.
Project Management:Manage the end-to-end project lifecycle, including planning,
execution, monitoring, and reporting. Ensure projects are delivered on time, within
budget, and in accordance with quality standards.
Data Governance: Implement and maintain data governance practices to ensure data
integrity, security, and compliance with regulatory requirements, especially in the
context of data deletion projects.
Documentation: Create comprehensive documentation, including business requirements, functional specifications, process flows, and user manuals to facilitate
effective project communication and knowledge transfer.
Stakeholder Communication: Serve as a liaison between business stakeholders,
technical teams, and other relevant parties, providing regular updates on project status,
issues, and risks.
REQUIREMENT:
Detail-oriented and technically proficient Technical Business Analyst to join our
team. The selected candidate will play a key role in either our Data Deletion Project
or our Data and Analytics Team, depending on project needs and candidate's
expertise. The Technical Business Analyst will be responsible for bridging the gap
between business needs and technical solutions, ensuring the successful execution
of projects related to data management, deletion, or analysis.
Proven experience (3-5years) as a Business Analyst or similar role, preferably in the
context of data management, deletion, or analytics projects.
Strong understanding of data management principles, including data governance,
data quality, and data lifecycle management.
Proficiency in SQL, Python, or other programming languages for data manipulation
and analysis.
Excellent communication skills with the ability to convey complex technical concepts
to non-technical stakeholders.
Strong analytical and problem-solving abilities with a keen attention to detail.
Project management experience and familiarity with agile methodologies is a plus.
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