JOB DESCRIPTION:
The Senior Conversion Data Analyst will play a critical role in bridging the gap between business stakeholders and technical teams to deliver data-driven solutions that align with organizational objectives. The role requires an experienced professional with a proven ability to elicit, analyze, and document business and technical requirements, translate them into actionable user stories, and ensure seamless execution within an Agile framework. The successful candidate will possess strong analytical, techno-functional, and communication skills to influence cross-functional teams and drive data quality, process improvements, and informed decision-making.
EXPERIENCE AND EDUCATION REQUIREMENTS:
- Bachelor’s degree in computer science, Statistics, Mathematics, Data Science, or related field (Master’s preferred).
- Minimum of 8+ years as a Business Analyst on projects of similar size and complexity, with significant experience in data-centric and analytics-driven initiatives. Proven experience with relational databases (SQL Server, PostgreSQL, Oracle) and data querying techniques.
- Experience working with large, complex datasets in a cloud-based or on-premises environment.
KNOWLEDGE, SKILLS, AND ABILITIES:
- Experience: Minimum of 8+ years as a Business Analyst, preferably on data-focused or analytics-driven projects of comparable complexity.
- Agile Expertise: Extensive experience working within Agile frameworks, including writing user stories and defining acceptance criteria.
- Data Conversion Projects: Proven experience leading or supporting large-scale data conversion, migration, or transformation projects.
- Azure Data Factory: Hands-on experience with Azure Data Factory for building, orchestrating, or monitoring data pipelines.
- Advanced SQL Proficiency: Expertise in SQL for data extraction, joins, aggregations, and performance tuning.
- Advanced Excel & BI Tools: Advanced expertise in Excel (complex formulas, pivot tables, macros) and/or BI tools (Power BI preferred; both highly desirable).
- Data Warehousing & ETL: Strong understanding of data warehousing concepts, dimensional modelling, and ETL processes.
- Cloud Data Platforms: Familiarity with cloud-based data platforms such as Azure Data Lake, AWS Redshift, or Google Big Query.
- Data Governance: Experience with data governance, data quality frameworks, and metadata management is advantageous.
- Analytical & Problem-Solving Skills: Exceptional critical thinking and problem-solving capabilities, with a focus on delivering actionable insights.
- Communication Skills: Outstanding written and verbal communication skills, with the ability to simplify complex technical concepts for diverse audiences.
- Organization & Independence: Highly organized, detail-oriented, and capable of managing multiple priorities independently in fast-paced environments.
Job Type: Full-time
Application Question(s):
- May i know your current location ?
- May i know your expected hourly rate on W2 ?
Experience:
- Data analysis skills: 8 years (Required)
- Azure: 5 years (Required)
Work Location: Remot
Linked-in
Google