Data Solutions Analyst

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The Global Risk Solutions Field Operations Analytics and Enablement team is seeking a Data Solutions Analyst. This role will be part of a team partnering with various business stakeholders in order to provide analytical support and reporting of GRS data. The ideal candidate should be passionate about data and be able to deliver insightful and influential solutions to challenging and ambiguous problems. This role will collaborate with different business partners, program managers and data engineers to define and deliver world class analytics tools and insights to shape the GRS landscape. The role will also act as a liaison between IT and business leaders to understand their requirements and deliver data solutions. Primary job responsibilities include developing new reports, enhancing existing report portfolio, providing data support to the GRS team and documenting the processes. We are looking for a team-member with analytical, technical, and consultative skills.
Responsibilities

Gathers requirements and consults with stakeholders to determine analytical support
Create analytical solutions and tools to support internal field operations team
Communicates analytical findings through data visualizations, reports and presentations to stakeholders and leadership team
Compiles, cleans, organizes and analyzes complex data to understand business results
Partner with IT to confirm data integrity, identify data issues and works towards improving data to provide more accurate insights
Establishes, modifies, documents, and communicates standards of practice around data retrieval, data manipulation, data quality, data reporting and data analytics
Influences strategy through data and analytics
Provide ad hoc analytical support to various business partners

Preferred Qualifications

Bachelor's degree in a quantitative field like computer science, economics, statistics, business, or related discipline
2-4 years of prior work experience in creating analytical solutions or reports
2+ years of experience with Tableau, Power BI, SQL (Teradata), Excel or equivalent data processing and visualization tools
Problem solving and critical thinking capabilities
Ability to work both independently and well in a team environment
Ability to adapt to quickly changing business environment and requests that come in related to upper-level executive requests and remain organized and meet deadlines

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
2-4 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

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That?s why we provide an environment focused on openness, inclusion, trust and respect. Here, you?ll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.
Liberty Mutual has proudly been recognized as a ?Great Place to Work? by Great Place to Work� US for the past several years. We were also selected as one of the ?100 Best Places to Work in IT? on IDG?s Insider Pro and Computerworld?s 2020 list. For many years running, we have been named by Forbes as one of America?s Best Employers for Women and one of America?s Best Employers for New Graduates?as well as one of America?s Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran?s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

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MIRANDA Paquette

PORTFOLIO ARCHITECT

LONG TENURES

Ample opportunities for growth keeps employees around

Miranda Paquette is part of the 85 percent of leadership that has been promoted from within and the 46 percent of women at the executive or manager level in Liberty Mutual’s U.S. offices. Paquette’s career at Liberty Mutual started with an internship 17 years ago, and she recently moved into technical leadership as a portfolio architect. In addition to on-the-job training, Paquette used Liberty Mutual’s tuition reimbursement benefit to earn a master’s degree in computer science to level up her career. As a woman in tech, she says DEI initiatives have also helped her grow tremendously as a pers

Showing humility and admitting when you make mistakes builds a safety net for people to embrace experimenting and learning from setbacks.

NATALIE MONTALVO

PRODUCT OWNER II

DIVERSE MENTORSHIP

DEI initiatives have tangible career outcomes

In 2021, Natalie Montalvo worked with a mentor through a program within the LGBTQ+ employee resource group, Pride@Liberty. Over the course of 9 months, Montalvo expanded her professional network, gleaned tips for interviewing, sharpened her communication skills and, most importantly, built confidence to help advance her career. “My mentor, who still meets with me today, has been instrumental in my career advancement,” said Montalvo. Now, she is paying it forward by working as a mentor in the Women in Leadership program at Liberty Mutual.

ERGs have had a significant impact on my career. I’ve attended career-shaping panel discussions, and made great friends along the way.

GREGORY BOMKAMP

PRINCIPAL SOFTWARE ENGINEER

UNCONFINED INNOVATION

Technologists are free to make a fast, direct impact

Gregory Bomkamp can rattle off a laundry list of the cool tech he uses in his role, but he says the most exciting aspect of his team is “the autonomy we’re given to explore innovative solutions. We never feel confined to any specific stack, technology or framework.” His team is only just beginning to “unlock the possibilities” of AI and machine learning, harnessing the immense amount of data to discover patterns and insights. On a typical day, after the morning Agile Scrum meeting, his team taps into pair programming, collaborative design and knowledge sharing to brainstorm solutions.

Engineers spend significantly less time on infrastructure and getting their ‘hello-world’ code out there — they skip straight to writing code that provides value.