Senior Data Solutions Analyst: Operational Data & Reporting team

Liberty Mutual Insurance · Portsmouth, NH · 1 wk ago

Full-time

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 scalable data and reporting solutions and insights for a range of stakeholders within our Direct Distribution and Partnerships reporting team. This position may have in-office requirements dependent upon candidate location. 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.

Responsibilities

Design and develop scalable data solutions with a focus on reusability that enable effective self-service data consumption and can describe their value to the customer.
Independently work on prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions.
Stay up to date with advancements in data engineering, 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).
Design 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 and guidance to junior team members.
Optimize and tune data infrastructure for performance, scalability, reliability, and cost-efficiency.
Prioritize efforts based on customer value and can set expectations for deliverables of high complexity.
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.

Requirements

Strong technical aptitude with data manipulation, data wrangling, and reporting tools (SQL, Power BI, SAS, Python, cloud computing: AWS and Snowflake).
3+ years of experience building production data pipelines, data solutions, and Power BI dashboards.
Hands-on experience with data quality testing frameworks and practices, and experience implementing automated data tests and validation.
Excellent communication skills and the ability to work with technical and non-technical stakeholders.
3-5+ years’ experience in coding for data management, data warehousing, or other data environments, including, but not limited to, ETL and scripting languages (Python).
3-5+ years’ experience with top quadrant Business Intelligence tools.
Demonstrated technical knowledge and skills in coding languages and business intelligence tools (e.g., SQL, Power BI, SAS, Python) and interest in expanding knowledge in this space.
Strong analytical, strategic, project management, decision-making, and problem-solving skills.
Direct Distribution domain knowledge preferred but not required.
Comprehensive understanding of new technologies as needed to progress initiatives and ability to adapt.
Able to describe value and support the prioritization of data solutions.
Able to organize and address customer pain points.

Qualifications

Strong written and oral communication skills required.
Bachelor’s Degree in Computer Science, Computer Engineering, or related discipline preferred.
Master’s in same or related disciplines strongly preferred.
3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack.

About Us

The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications, and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

Benefits