Data Analyst II
About The Position
The Analyst plays a pivotal role in bridging the gap between business needs and data-driven solutions. This professional utilizes their business expertise to closely collaborate with product owners, data engineers, and stakeholders to define and refine product requirements, leveraging data insights to inform strategic decisions. They are responsible for analyzing user behavior, market trends, and product performance metrics to guide feature development, optimize user experience, and drive business growth. In this role, the analyst serves as a subject matter expert (SME), ensuring data quality and governance, translating complex datasets into actionable insights, and supporting the creation of self-service analytics platforms. Strong communication and strategic thinking are essential, as the analyst must present findings clearly and influence cross-functional teams.
Requirements
- Bachelor's degree in a quantitative field (Computer Science, MIS, or related field) or relevant work experience equivalent
- Intermediate SQL Knowledge, Intermediate ELT knowledge and basic Data Modeling skills
- Minimum of 5 years’ IT experience and 3 years working with data either in the form of report building or querying data for analytical purposes.
- Strong conceptual and communication skills in context of translating business needs into technical solutions
- Experience in measurement and analysis, quantitative business problem solving, operational and business analytics delivery
- Intermediate level project management/agile skills
- Skilled in tools like Excel, Tableau, Power BI, etc. for data analysis and visual storytelling.
- Experience with BI platforms and reporting tools to create dashboards and monitor KPIs.
- Familiar with tools like Visio or Lucidchart to map and optimize business processes.
- Understanding manual and automated testing, test cases, and QA processes.
- Comfortable working in Agile environments using tools like JIRA for backlog and sprint management.
- Skilled in gathering, analyzing, and documenting business and technical requirements.
- Ensures data integrity and consistency across systems and reports.
- Exposure to scripting languages such as SQL for data manipulation and automation.
- Ability to translate technical findings into business language and influence decision-making
Responsibilities
- Independently elicit requirements & analysis for creation of enterprise data assets.
- Create reports and contribute to various data governance & management initiatives.
- Research and analyze data to drive business decisions.
- Partner with Data Engineers, Stakeholders, and Product Owner to understand requirements and business processes.
- Independently support the development and maintenance of enterprise data sets, reporting systems and/or reporting tools to provide business value.
- Support ad hoc research and analysis activities.
- Present and communicate insights from research and analysis to business users and managers.
- Contribute to Data Catalog and Analytics Community of Practice
- Present and explain complex analytics concepts & methodologies to non-technical business partners.
Benefits
- 401 (k) Plan, Employer Fixed Contributions & Company Matching
- Profit Sharing
- Medical, Dental and Vision Coverage
- Flexible Spending Accounts (FSAs), Health Savings Account (HSA) and Health Reimbursement Account (HRA)
- Life Insurance
- Paid Time Off & Paid Holidays
- Paid Maternity Leave & Paid Parental Leave
- Career Growth Planning & Nationwide Career Opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
