Acrisure Innovation

Senior Data Analyst, Data Intelligence

GRAND RAPIDS, MIPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Acrisure Innovation

  • Job overview

    The Senior Data Analyst, Data Intelligence at Acrisure Innovation plays a key role in advancing data-driven decision making by delivering reporting and analytics capabilities within a multi-cloud data lakehouse environment.

  • Responsibilities and impact

    The role involves developing efficient reporting and analytics, transitioning users to modern data access methods, creating data visualizations and insights, mentoring junior analysts, advocating best practices, and improving data quality across the business.

  • Experience and skills

    Candidates should have 7+ years as a Data Analyst or BI professional, strong skills in data visualization tools like PowerBI, SQL, Python, and experience with agile tools like Jira. A bachelor's degree in a related field or equivalent experience is required.

  • Work environment and culture

    Acrisure Innovation values a fast-paced, AI-driven environment with a customer-first mindset, emphasizing teamwork, empathy, and positive problem solving.

  • Company information

    Acrisure Innovation is part of Acrisure, a top 10 global insurance brokerage known for leveraging technology to transform insurance distribution and underwriting.

  • Team overview

    The candidate will join the Data Intelligence team focused on data-driven decision making and working with diverse stakeholders including senior leadership and technical teams.

  • Job location and travel

    The position is hybrid, based in Grand Rapids, MI or Austin, TX, requiring three days per week in the office.

  • Unique job features

    The role offers the opportunity to work on innovative AI-driven projects in the insurance industry, with a focus on transforming data into actionable business insights.

Company overview

Acrisure Innovation is a subsidiary of Acrisure, a global insurance brokerage and fintech leader. They focus on leveraging artificial intelligence and advanced technologies to transform the insurance industry, providing innovative solutions for risk management and financial services. Acrisure Innovation generates revenue by developing and deploying AI-driven platforms that enhance underwriting, claims processing, and customer engagement. Founded in 2005, Acrisure has rapidly expanded through strategic acquisitions and partnerships, becoming one of the world's top insurance brokers. Their commitment to technological advancement and customer-centric solutions positions them as a forward-thinking leader in the industry.

How to land this job

  • Tailor your resume to highlight your 7+ years of experience in data analysis or business intelligence, emphasizing your ability to build impactful reporting and analytics within multi-cloud data environments, especially using tools like PowerBI and SQL.

  • Focus on showcasing your skills in data storytelling, visualization, and translating complex data into actionable insights, as well as your experience mentoring junior analysts and collaborating with senior leadership and cross-functional teams.

  • Apply through multiple channels such as Acrisure Innovation's corporate careers page and LinkedIn to maximize your application's visibility and chances of consideration.

  • Connect with current employees in the Data Intelligence team or related divisions at Acrisure Innovation on LinkedIn; start conversations by referencing recent company innovations in AI-driven insurance technology or asking about their experience transitioning users to new data enablement strategies.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'data storytelling,' 'PowerBI,' 'SQL,' 'multi-cloud data lakehouse,' 'agile project management,' and 'data visualization' to ensure it passes automated screenings.

  • Use Jennie Johnson's Power Apply feature to automate and streamline your application process across multiple platforms, tailor your resume with relevant keywords, and identify LinkedIn contacts to network with, freeing up your time to prepare for interviews and refine your skills.

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