Senior Data Solutions Analyst: Operational Data & Reporting team

About the Team – USRM Data Office

Ensuring that data is a competitive differentiator for our enterprise, the USRM Data Office sets strategic data product visions, governs data for quality and compliance, develops best in class data and reporting solutions, and continuously seeks to optimize the value that data creates for our customers and company. Our team includes data analysts, data stewards, data strategists, and data product owners — performance-driven individuals who make sure that data is appropriately leveraged across every layer of our business.

The Operational Data & Reporting team within USRM Data Office is seeking a Senior Data Solutions Analyst focusing on delivering best in class data & reporting solutions and insights for a range of stakeholders within our Cross Functional reporting team, supporting Service.

**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **

Responsibilities:

• Design and develop scalable data solutions with a focus on reusability that enable effective self-service data consumption.
• Independently works on highly complex assignments and prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions.
• Stay informed on advancements in data engineering, business intelligence, evaluate new tools and recommend adoption where appropriate.
• Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation)
• Designs proof-of-concept solutions utilizing and advanced understanding of multiple coding languages to meet technical and business requirements with an ability to perform iterative solution testing to ensure specifications are met.
• Strive to become a technical leader and mentor for the team, providing assistance & guidance to junior team members
• Design and develops data solutions that enable effective self-service data consumption and can describe their value to the customer.
• Identifies and utilizes best practices and iterative testing to ensure requirements are met.
• Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity.
• Able to lead projects and collaborate with stakeholders to ensure effective project execution.
• Optimize and tune processes for performance, scalability, reliability and cost-efficiency
• Ensure data solutions include activities and deliverables required to achieve high data quality and displays a strong understanding of complex, multi-tier, multi-platform systems, applying principles of metadata, lineage, business definitions, compliance and data security to project work.

The Ideal Candidate will:

• Have strong technical aptitude with data manipulation, data wrangling and Reporting Tools(SQL, Power BI, SAS, Python cloud computing, and Snowflake)
• Develop subject matter expertise and business knowledge required for the assigned reporting suite
• Demonstrate 3+years of experience building production data pipelines, data solution and Power BI Dashboards.
• Possess hands-on experience with data quality testing frameworks and practices and experience implementing automated data tests and validation.

• 3-5 years’ experience in coding for data management, data warehousing, or other data environments, including, but not limited to, ETL & scripting languages (Python, PowerShell)
• 3-5 years’ experience with top quadrant Business Intelligence tools. Demonstrated technical knowledge and skills in coding languages and business intelligence tools (e.g. SAS, SQL, Power BI, Snowflake) and strong interest in expanding knowledge in this space.
• Must possess strong analytical, strategic, project management, decision-making and problem-solving skills.
• Demonstrates a comprehensive understanding of new technologies as needed to progress initiatives.

• Able to describe value and support the prioritization of data solutions.
• Able to organize and address customer pain points.