DaisyBill Mission 

Workers’ Comp Made Better

If you are injured at work, most industrialized countries establish workers’ compensation systems that require your employer to provide for all of your care and treatment while you recover. In the United States, each state sets up its own workers’ compensation rules for employers to assume financial responsibility for your care.

The world would be a better place if injured employees could access the best medical treatment and services. Unfortunately, the complexities of workers’ comp often frustrate and discourage medical providers; as a result, many providers refuse to treat employees injured while at work.

DaisyBill is built for these providers and eliminates many of the frustrating complexities that burden the process of getting paid by employers for the services and treatment needed by injured employees. 

Our clients are our number one priority; they stay with us because we constantly keep our clients top of mind as we develop technology to make their workers’ comp billing world so much easier and better. We adore our clients and our clients adore us -- they make DaisyBill the best at what we do.

DaisyBill was founded in 2012 and is an established and profitable niche enterprise B2B technology company. We preserve many of the benign characteristics that fueled our early start-up days but without the worries of answering to outside equity. 

The DaisyBill Team devotes all of our collective expertise, talent, and resources to the pursuit of our mission of improving injured employees’ access to the very best medical care. 

DaisyBill GOAT Values

1. Be bold - The status quo just isn’t good enough  
2. Outperform - What we do, we do best
3. Customers matter - Keep our customers top of mind, constantly, and all else follows
4. Persevere - Find a way or make one 
5. Improve constantly - We get smarter
6. Collaborate - Me. We.*
7. Be nice - Real, straightforward, open-minded, honest, and ethical
8. Value diversity - Of thought, experience, mindset, and angle of attack
9. Live your best life - Work should only be 25% of your life
10. GOAT - The Daisy Team strives to be the Greatest of All Time

*Muhammad Ali spoke at Harvard University in 1975. When someone in the audience requested a poem, Ali’s response was “Me. We.” We love this simple and pithy statement connecting the individual and the team. 

Business Analyst Job Description

DaisyBill is seeking an experienced Business Analyst to work alongside various teams to explore our data.  Our engineering team currently runs ad-hoc reports out of Postgres Ad-hoc, and data is analyzed in google sheets by our various teams.

You will be our first business intelligence team hire so you will have the opportunity to shape the department and grow the team as needed. We anticipate switching to Looker or a similar type of product to provide better insights into our data.

This role will report to the CTO and will work closely with the CEO to explore the data for marketing, customer support, operations, and growth opportunities.

Responsibilities

1. Manage the data pipeline process with assistance from the engineering team.
2. Analyze billions of medical billing data points.
3. Be in the weeds transforming raw data into insightful findings.
4. Build reports, dashboards, and run analyses needed by various teams. Examples include:
   • Customer success:  Dashboard and alerts for underperforming accounts.
   • Operations: Identify specific records affected by a bug.
   • Marketing: Gauge the performance of specific content, such as blog posts, FAQs, and webinars. Query “average days to payment” and other industry data for display on the marketing site. You will work directly with our designer on how best to display this data.
   • Sales: Analyze email campaigns, page visits, and sales deal information to better understand what engages deals.
5. Identify gaps in our data collection and work with product and engineering teams to fill gaps.
6. Improve our existing analytics and reporting technology stack.
7. Effectively present insights from quantitative analysis.

Skills

1. Strong math, statistics, and reasoning skills
2. Knowledge of relational (SQL) databases
3. Familiarity with a scripting language (Python, Ruby, Javascript)
4. Experience with Looker or other similar platforms
5. Ability to create compelling data visualizations to tell a story
6. Experience in a startup data environment and exposure to common tools – E.g., Google Analytics, Intercom, MailChimp, Segment, Heap.
7. Experience with ETL tools like Stitch

Traits

1. Strong drive to deliver data insights in clear and actionable form
2. Eager to collaborate and work closely with other team members 
3. Alignment with DaisyBill GOAT Values

Qualifications

2-3 years of work experience as a data or business analyst for a SaaS company, preferably B2B or enterprise.