Senior Business Data Analyst
New
V
V4C.aiIT & Infosec
Workable workplace: remote Workable remote: True Workable locations: United States Location: United States Remote Flexible remote work environmentPart-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- SQLData AnalysisProblem SolvingReportingDatabricks
Requirements
- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, or a related field.
- Proven experience in Business Data Analytics or related analytical roles.
- Strong hands-on experience with Databricks.
- Experience with SQL and data analysis tools.
- Strong understanding of data processing, reporting, and analytics workflows.
- Experience analyzing KPIs, conversion funnels, and engagement metrics.
- Ability to communicate insights effectively to technical and non-technical stakeholders.
- Strong problem-solving, documentation, and stakeholder management skills.
- Experience working in cross-functional and remote environments.
Responsibilities
- Lead and support end-to-end analytics processes including data acquisition, transformation, analysis, and reporting.
- Manage and optimize data workflows within the Databricks platform to improve efficiency, performance, and cost management.
- Analyze key business performance metrics such as CTP, CVR, engagement, and funnel performance to identify trends and optimization opportunities.
- Investigate data trends, user behavior, and performance issues to identify root causes and recommend solutions.
- Translate analytical findings into clear business requirements for A/B testing, funnel optimization, and product improvements.
- Collaborate with data engineering and cross-functional teams to resolve data discrepancies and ensure data accuracy across systems.
- Document business and technical requirements for roadmap initiatives, data tagging enhancements, and technical refresh projects.
- Support strategic planning for data initiatives, including KPI tracking, reporting, and performance measurement.
- Work closely with stakeholders to align analytics solutions with business goals and priorities.
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