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Analytics Engineer

Analytics Engineer II / III

Branch is on a mission to make insurance less expensive, so more people can be covered. We innovate using data, tech, and automation to simplify insurance from start to finish—we eliminated inaccurate quotes in favor of real prices, created a better way to bundle, and cut unnecessary costs in the traditional insurance process. Then we pass those savings along to our members. Basically, we’re doing insurance the way it was meant to be.

But we didn’t just create the insurance we’ve always wanted, we also created the company we’ve always wanted to work for. As we redefine insurance, we also want to redefine what it means to work in insurance. Find out for yourself!

Branch is actively prioritizing candidates located in OH but remains open to hiring qualified individuals from a wide range of states, including AL, AZ, CT, FL, GA, ID, IL, IN, IA, KS, KY, LA, MD, MA, MI, MN, MS, MO, NE, NV, NJ, NC, ND, OK, PA, SC, SD, TN, TX, UT, VA, and WI.

Branch is remote first, with most Branchers choosing to work from home. Our headquarters are located in Columbus, Ohio, where we come together from time to time to build relationships and connect with each other in real life. Once a year, the entire company gathers for “BranchFest”, a highlight of the year for many Branchers.

About the Analytics Engineer role

In this role, you will report to the Director of Analytic Engineering or Head of the Data Office and support a wide range of architecture, engineering, BI, and other special projects that will serve different needs across the organization. 

Our team manages, governs, and democratizes data through self-service tools that encourage exploration, innovation, and discovery of insights that enable leaders to make informed decisions and develop strategies to offer a competitive edge for all areas. In this role, you'll be able to offer strategic recommendations and hands-on technical expertise to architect solutions and address emerging challenges as they arise. 

Outlined below are examples of the routine tasks our team adeptly manages 

  • Data Engineering and Analytics Engineering pipeline work (Full-Stack Development)

  • Developing and maintaining dashboards, visualizations, and other forms of ad-hoc reporting necessary to support data-driven business decisions and strategies. 

  • Troubleshooting, diagnosing, and fixing issues within existing data pipelines.  

  • Validating data and following best practices to guarantee quality, compliance and a positive experience for end users. 

  • Making recommendations to create an environment where ongoing optimization is an organic part of our development processes.

We are seeking a range of candidates with different levels of expertise and experience. Please see the Key Responsibilities and Skills, Knowledge, and Expertise associated with each level.

Data Engineer III

Key Responsibilities: 

  • Providing hands-on technical expertise, leadership, and support to: 

    • Build views/tables, data models, data dictionaries, and self-service tools with some guidance

    • Ensure data quality is proactively monitored and unwanted changes or defects are proactively prevented and promptly fixed. 

    • Has broader understanding of how the main project interacts and affects other projects. Defines technical best practices and patterns with assistance from senior team members

  • Support processes necessary to bring data into the data lake/warehouse via managed systems (e.g., ETL/ELT)

  • Collaborating with leaders to implement, refine and document processes and best practices to improve quality and enhance the functionality of all our self-service tools. 

  • Learning and understanding how data development works at Branch. 

Skills, knowledge, and Expertise

  • 7+ years of relevant experience with data/reporting development:  

    • Data modeling, monitoring data quality

    • Process automation, automated reporting, business intelligence

    • Design and development of ETL processes

  • SQL proficiency is a must; dbt experience is desirable

  • Experience with Python, JavaScript, or other programming languages is also highly desirable. 

  • Insurance data and business domain experience is also highly desirable

Data Engineer II

Key Responsibilities: 

  • Providing hands-on technical expertise and support to: 

    • Build views/tables, data models, data dictionaries, and self-service tools with assistance from peers and senior members of the Data Office

    • Ensure data quality is proactively monitored and unwanted changes or defects are proactively prevented and promptly fixed. 

    • Provides expertise in a project, including understanding of the overall scope, how it interacts with other projects, and how data flows between them. Advocates for best practices and adherence to service guidelines. 

  • Collaborating with leaders to implement, refine and document processes and best practices to improve quality and enhance the functionality of all our self-service tools. 

  • Learning and understanding how data development works at Branch. 

Skills, knowledge, and Expertise

  • 3+ years of relevant experience with data/reporting development:  

    • Data modeling, monitoring data quality

    • Process automation, automated reporting, business intelligence

  • SQL proficiency is a must; dbt experience is desirable

  • Experience with Python, JavaScript, or other programming languages is also highly desirable. 

  • Insurance data and business domain experience is also highly desirable

Why join us at Branch? 

We’re all about getting back to getting each other’s back—that means Branchers, too. So we provide benefits that let you work and live to your fullest.

  • Above-market salary—Branch is a data-driven company, so we do the math on salaries, too. If you get an offer from Branch, you can expect compensation that hits above the mark.

  • Pay equity and transparency—Our pay isn’t just above market, it’s equitable. We let experience and performance drive your success, never your gender, race, orientation, or beliefs. 

  • Remote-first (with perks)—Work from where you’re most comfortable. We’ll take care of your work from home set-up and monthly internet. We also have a Columbus headquarters and if you’d like to join us in an office. 

  • Flexible YouTime—We don’t just let you control your own time off.  We actually encourage you to use it. After your first year at Branch, we’ll give you $1000 toward your next vacation. 

  • Employee stock options—You’re not just an employee. If you’re full-time, you’re also a part-owner. You’ll have stock options so you can invest in the company you’re helping to grow. 

  • Medical, vision, dental—Get all the coverage you need for a healthy, happy life.

  • 401k and contribution matching—Invest in your future. Branch helps you get to retirement on time with a portion of your contributions matched each month. 

What to expect

In light of recent hiring scams across the United States, here’s what the process will look like with Branch (so you know it’s us):

  • Please apply to open positions directly through our site. If you don’t see it here, then it shouldn’t exist on another job board. If you’re ever unsure about the legitimacy of a Branch  job posting found on another site, please check the listings here to verify.

  • If you're selected to move onto the next phase of the hiring process, a member of our Branch talent team will reach out to you directly from the email domain @ourbranch.com to guide you through our process.

  • The process will include a number of interviews, which will all happen either over the phone or on video calls. 

  • We will never ask for personal payment or require you to purchase equipment during our interview process. Always be sure to protect your personal information.

Equal Employment Opportunity Employer 

At Branch, we are deeply committed to the community. Branch is an Equal Employment Opportunity employer – All qualified applicants and/or employees will receive consideration for employment without regard to the individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.

Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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What You Should Know About Analytics Engineer, Branch Financial, LLC

Are you ready to join a team that’s redefining insurance? Branch is on the lookout for an enthusiastic Analytics Engineer to be part of our exciting journey towards making insurance affordable and user-friendly. Located in vibrant Columbus, Ohio, this role not only offers remote-first flexibility but also invites you to physically connect with your colleagues at our annual ‘BranchFest.’ As an Analytics Engineer II / III, you will be working closely with our Director of Analytic Engineering and the Head of the Data Office, tackling a variety of projects that span architecture, engineering, and business intelligence. Your efforts will directly impact our mission by managing and democratizing data that empowers our leaders to make informed decisions. You will dive into full-stack development, ensuring the integrity of data pipelines, and creating insightful dashboards that facilitate data-driven strategies. Imagine the satisfaction of troubleshooting existing data issues while implementing best practices that enhance the overall data experience. We value creativity, so if you’re passionate about problem-solving and driving optimization through innovative solutions, we want to hear from you. Branch embraces diverse experiences, and we aim to create an inclusive environment where you can thrive and contribute to making insurance work for everyone. Let’s transform the industry together!

Frequently Asked Questions (FAQs) for Analytics Engineer Role at Branch Financial, LLC
What does an Analytics Engineer at Branch do?

As an Analytics Engineer at Branch, you'll engage in a variety of tasks aimed at enhancing our data infrastructure. This includes building data models, optimizing data pipelines, developing dashboards, and supporting data-driven decision-making across the organization. You’ll play a crucial role in streamlining processes by using your technical expertise to solve challenges as they arise.

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What qualifications are required for the Analytics Engineer position at Branch?

To be successful in the Analytics Engineer role at Branch, candidates should have a strong background in data/reporting development. For the Engineer II level, 3+ years of experience with SQL proficiency is essential, while Engineer III applicants should boast 7+ years in relevant fields and familiarity with tools like dbt, Python, or JavaScript. Knowledge of insurance data and processes is highly desirable.

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What are the key responsibilities of an Analytics Engineer at Branch?

Key responsibilities for the Analytics Engineer role at Branch include developing and maintaining data pipelines, ensuring data quality, creating self-service tools, and collaborating with other teams on best practices for data governance. You'll have the opportunity to lead initiatives that promote data exploration and support strategic business decisions.

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How does Branch support work-life balance for its Analytics Engineers?

Branch champions a remote-first culture, allowing Analytics Engineers to work from where they feel most productive. The company also offers flexible time off under its 'YouTime' policy and provides generous benefits such as a vacation stipend after your first year, ensuring you can maintain a healthy work-life balance.

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What is the culture like at Branch for Analytics Engineers?

The culture at Branch is one of inclusivity and collaboration. We prioritize having each other's backs, ensuring support and transparency. Analytics Engineers, like all Branchers, are encouraged to voice their ideas, partake in team-building exercises like BranchFest, and engage with visionary projects that reshape the insurance landscape.

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Common Interview Questions for Analytics Engineer
Can you explain the importance of data quality for an Analytics Engineer?

Data quality is crucial for any Analytics Engineer since it directly impacts data-driven decisions. Providing accurate and reliable data ensures that leadership can develop effective strategies and optimize operations. Emphasize your experience in monitoring data quality and advocating for best practices during the interview.

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How do you approach creating a self-service reporting tool?

When developing a self-service reporting tool, I start by assessing user needs and identifying key metrics that matter to stakeholders. It's important to involve end-users early in the process for feedback. Additionally, I focus on designing intuitive dashboards using clear visualizations and ensuring robust data governance to maintain quality.

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What technologies and tools have you used as an Analytics Engineer?

Discuss the range of technologies you have experience with, such as SQL for database queries, Python or JavaScript for scripting, and tools like dbt for data transformations. Share how you've leveraged these tools to solve business problems and enhance data workflows.

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Describe a challenging data issue you resolved?

Focus on a specific instance where you faced a complex data problem. Discuss your analytical approach to diagnosing the issue, the steps you took to troubleshoot it, and the eventual outcome, ensuring you highlight any lessons learned and how the resolution benefited the team or processes.

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How do you ensure compliance and data governance in your projects?

Explain your approach to data governance, which may include regular audits, implementing data quality checks, and documenting processes. Stress the importance of collaboration with cross-functional teams to establish guidelines and ensure compliance with legal and regulatory standards.

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How would you handle conflicting priorities in a project?

Demonstrate your organizational skills by discussing how you would assess the urgency and impact of conflicting tasks. Talk about how you'd communicate with stakeholders and demonstrate flexibility, ensuring delivery of high-quality work while adapting to changing business needs.

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What role does collaboration play for an Analytics Engineer?

Collaboration is essential for an Analytics Engineer since it allows for shared insights and fosters a culture of innovation. Describe how working closely with cross-functional teams has helped you deliver better data solutions and enhanced business intelligence across departments.

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Can you describe a time when you had to advocate for a best practice?

Share an anecdote where you identified an area for improvement and took steps to advocate for a best practice. Discuss how you successfully communicated the benefits to your team and leadership, and detail the positive impact this change made.

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Why is process automation important in your field?

Explain how process automation streamlines workflows, enhances efficiency, and increases accuracy in your role as an Analytics Engineer. Mention examples of where you've implemented automation to reduce manual work, and how it freed up resources for strategic initiatives.

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How do you stay current with industry trends and developments in data analytics?

Discuss your commitment to professional development by mentioning relevant platforms, courses, and industry publications you follow. Emphasize your interest in continuous learning and how you apply new knowledge to improve your methodologies and techniques as an Analytics Engineer.

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DATE POSTED
March 29, 2025

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