Senior Data Analyst

“NO VENDORS NEEDED FOR THIS ROLE”

Title: Senior Data Analyst

Responsibilities:
• Develop and maintain source-to-target mapping documents.
• Analyze business processes, anticipate requirements, and identify areas for improvement through data analysis and profiling.
• Gather and validate business reporting and data extract requirements from multiple stakeholders.
• Define accurate data standards and create appropriate data models to support business needs.
• Collaborate with developers and QA teams to ensure data accuracy and optimal utilization.
• Identify non-functional requirements that impact data design and performance.
• Break down product features into user stories and actively participate in scrum teams.
• Work with ETL teams, QA analysts, and DBAs to ensure solutions meet all requirements.
• Conduct meetings and presentations to communicate insights and findings.
• Manage projects, develop plans, and monitor progress to align with business objectives.
• Act as a liaison between stakeholders and users, ensuring solutions meet business needs.
• Provide mentorship and guidance to junior team members.

Qualifications:
• Bachelor’s degree in Computer Science or equivalent experience.
• 5+ years of experience in software development and database applications, with a focus on data strategy, integration, modeling, and architecture.
• Strong proficiency in SQL and query tools.
• Experience in data analysis, profiling, mapping, and quality assurance.
• Background in working with large datasets and data-driven decision-making.

Preferred Experience:
• Familiarity with logical, physical, dimensional, or relational data models (ERwin experience preferred).
• Experience with data warehouses, data marts, and ETL processes.
• Exposure to reporting, analytics, or business intelligence tools.
• Knowledge of Snowflake, Python, and Spark is a plus.

Required Skills:
• Strong analytical and problem-solving abilities.
• Ability to influence stakeholders and align data solutions with business goals.
• Familiarity with technology and data management principles.
• Excellent documentation and communication skills.
• Proven track record of meeting deadlines and delivering results.
• Strong planning, organization, and time management skills.