Acrisure
DataAnalyst,CustomerSuccess
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Analyst, Customer Success at Acrisure. Skills: data analytics, reporting, data visualizations, data modeling, SQL, Python, PowerBI, Tableau, dbt, BigQuery. leading the requirements gathering, design, implementation and delivery of reporting and analytics capabilities for Customer Success and Digital Solutions. Drive the development of efficient and reliable reporting and analytics capabilities with a customer-first mindset”
What You'll Achieve.
Drive the development of efficient and reliable reporting and analytics capabilities; Advance the transition of users from legacy means of accessing information to the future state strategies of data enablement and self-service; transforming raw data into actionable insights and recommendations; optimize business impact; improve data quality across the business
Industry & Context.
unpack complex problems in order to find solutions; Positive & creative problem solving in the face of data challenges
Onsite 4 days per week, do not offer C2C or C2H employment, not able to sponsor visas
What They're Looking For.
Must Have
5+ years of industry experience in data analytics or adjacent quantitative fields, Demonstrated ability to be a data storyteller, building data visualizations and reporting using third party tools (Tableau and PowerBI), understanding of data models, structures, theories, principles, and practices, Proficiency working with stakeholders to gather requirements, understand processes and translate them to data, and create/evaluate associated KPIs, Experience with SQL, Experience with Python, Experience with PowerBI, Experience with Tableau, Experience with dbt, Experience with BigQuery, Experience with Git, Experience with Palantir, Experience with data modeling, Experience with agile project execution, Experience with business tools such as Jira & ServiceNow, excellent communication and leadership skills, Ability to understand the business purpose or problem behind a request, Positive & creative problem solving in the face of data challenges, Flexibility to successfully multi-task in a fast-paced environment with a positive attitude, teamwork, solution-centric, and customer-service-oriented attitude, Possess empathy, kindness towards others, a positive attitude, and self-awareness, Bachelor’s degree in Computer Science, Math, Statistics, Business, or related field, or equivalent experience
Nice to Have
Data storytelling, building data visualizations and reporting using third party tools (Tableau and PowerBI), data models, structures, theories, principles, and practices, stakeholders to gather requirements, understand processes and translate them to data, and create/evaluate associated KPIs, agile project execution, business tools such as Jira & ServiceNow, communication and leadership skills, understand the business purpose or problem behind a request, Positive & creative problem solving in the face of data challenges, Flexibility to successfully multi-task in a fast-paced environment with a positive attitude, teamwork, solution-centric, and customer-service-oriented attitude, empathy, kindness towards others, a positive attitude, and self-awareness
What You'll Do.
leading the requirements gathering
implementation and delivery of reporting and analytics capabilities for Customer Success and Digital Solutions
Drive the development of efficient and reliable reporting and analytics capabilities with a customer-first mindset
Advance the transition of users from legacy means of accessing information to the future state strategies of data enablement and self-service
Create presentation/visualization of data to see beyond the numbers while transforming raw data into actionable insights and recommendations
and evangelize data analysis best practices and technical standards
Advocate for and identify creative implementations to optimize business impact
Empower others to grow understanding of the complexity of data by creatively scaling how teams’ knowledge is shared and applied
Help identify better practices
and relevant trends that can improve data quality across the business
How You'll Work.
Team & Collaboration
working across a wide variety of people including senior executive leadership, analysts, program management, and technical team members; collaboration
Communication Scope
excellent communication and leadership skills; data storyteller
Process & Methodology
agile project execution
Full Job Description
Data Analyst Austin, TX (Onsite 4 days per week) Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. About Acrisure Acrisure Enterprise Technology Group is where human expertise meets advanced technology. A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services – and more. In the last twelve years, Acrisure has grown in revenue from $38 million to almost $5 billion and employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible. The Role The Analytics organization is chartered with advancing data driven decision making across Acrisure. As a member of the team, you will be responsible for leading the requirements gathering, design, implementation and delivery of reporting and analytics capabilities for Customer Success and Digital Solutions. You will be comfortable working across a wide variety of people including senior executive leadership, analysts, program management, and technical team members. Here are some of the ways in which you’ll achieve impact: Drive the development of efficient and reliable reporting and analytics capabilities with a customer-first mindset. Advance the transition of users from legacy means of accessing information to the future state strategies of data enablement and self-service. Create presentation/visualization of data to see beyond the numbers while transforming raw data into actionable insights and recommendations. Identify, adopt, and evangelize data analysis best practices and technical standards. Advocate for a
Applying for this Data Analyst, Customer Success role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Acrisure?
Real rants from real employees. Read before you apply.