Drive impactful analytics initiatives in a hybrid work environment. Collaborate with teams to enhance data-driven decision-making processes. Utilize cutting-edge tools to deliver innovative solutions and insights.
Business Analyst – Data
in Information Technology PermanentJob Detail
Job Description
Overview
- Collaborate with cross-functional teams to identify data-driven solutions for business challenges and opportunities.
- Translate complex business requirements into actionable technical specifications for analytics projects.
- Drive the prioritization and management of analytics initiatives using Agile methodologies.
- Evaluate and implement advanced tools for data visualization and reporting enhancements.
- Facilitate planning sessions to ensure timely delivery of high-impact analytics solutions.
- Support organizational efforts to foster data-driven decision-making across departments.
- Identify and execute process improvements to optimize analytics workflows and outcomes.
Key Responsibilities & Duties
- Conduct stakeholder interviews to gather and document analytics requirements comprehensively.
- Analyze existing data challenges and reporting gaps to propose innovative solutions.
- Develop and refine user stories to ensure clarity and alignment with project goals.
- Lead sprint planning sessions to allocate resources effectively and meet project deadlines.
- Validate analytics solutions against business objectives and oversee user acceptance testing.
- Maintain detailed documentation of processes, data definitions, and reporting standards.
- Collaborate with technical teams to ensure seamless execution of analytics initiatives.
Job Requirements
- Bachelor of Science (BS) degree in a relevant field is mandatory.
- Minimum of 3 years of experience as a Business Analyst in data or analytics.
- Proficiency in Agile project management tools such as Azure DevOps or Jira.
- Strong skills in requirements gathering, documentation, and stakeholder communication.
- Knowledge of data warehousing, ETL processes, and analytics concepts.
- Basic proficiency in SQL for data validation and understanding queries.
- Experience with Tableau, Power BI, or similar data visualization platforms.
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