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Business Intelligence Analyst (US)

Dabble
15 hours ago
Full-time
Remote
United States
$110,000 - $120,000 USD yearly

In the US, Dabble is an innovative Daily Fantasy Sports app, launched in 2023 and on an exciting scale-up journey. Backed by the success of our Australian sportsbook, Dabble is revolutionizing the industry by delivering a unique and immersive community-based experience. 

Unlike traditional DFS apps, Dabble combines social media elements with daily fantasy, offering a newsfeed similar to Instagram or Twitter, where users can follow other players (including friends, ex-athletes and celebrities) and copy their bets with ease. Our mission is clear: to lead the charge in creating a social gaming experience like no other, where cutting-edge entertainment meets real connection and engagement.

Dabble US HQ is located in Austin, Texas, but our remote-first culture means our team thrives across the country. We're passionate, we're driven, and we're on the lookout for the next Dabbler!

Dabble Culture

  • Wear what makes you comfortable so you can concentrate on what’s important

  • Whether it's from home or elsewhere, choose the setting that best supports your productivity

  • Collaborative, open-minded team. We value both big and small ideas!

  • Each day is led through upholding our core Values: Fun, Celebratory, Community, Evolutionary and Focus

Dabble Perks

  • Three weeks of paid vacation leave per year

  • Two weeks of paid sick leave per year

  • 401k matching up to 200%*

  • Health insurance*

  • Unpaid time off available

  • Paid parental leave available

  • Dabble Day Dividend: all Dabblers split the day’s revenue evenly on our birthday each year. You share the workload, why shouldn’t you share the reward?

Primary Location
Our preference is for this role to be based in Austin, Texas. For the right candidate we would consider a fully remote position, however you would need to be based in one of the following states: Texas, Nevada, Colorado, North Carolina, Florida, Illinois, New York, Connecticut, Pennsylvania.

Overview
The Business Intelligence Analyst (US) will support the BI function in delivering accurate, timely, and insightful reporting across the business. This role involves building and maintaining dashboards, writing SQL queries, and working closely with stakeholders to understand their data needs. You will contribute to the team's shift toward proactive, insight-driven analytics while developing your skills across BI tooling, data analysis, and stakeholder communication.

Responsibilities

  • Support stakeholders across departments such as Risk & Trading, Finance, Customer Operations, Compliance, and Marketing by building and maintaining dashboards and reports as business needs require

  • Collaborate with the data engineering team to understand data models in Databricks and flag any data quality issues

  • Monitor and maintain existing dashboards, ensuring data accuracy, timely refreshes, and resolving any issues as they arise

  • Support the analysis of promotional strategies, helping assess cost-efficiency in customer acquisition, retention, and reactivation

  • Contribute to the development of self-service reporting capabilities for stakeholders

  • Write and maintain SQL queries to extract, transform, and analyze data from various sources

  • Assist in identifying trends in customer behavior, engagement, and preferences, contributing insights that support business decisions

  • Manage BI assets using Github, following team version control standards and contributing to peer code reviews

Skills & Qualifications

  • A degree in a relevant discipline such as Computer Science, Data Analytics, Statistics, or a related field (or equivalent practical experience)

  • Proficiency in Microsoft Excel, including formulas, pivot tables, and data manipulation

  • Experience with at least one Business Intelligence tool such as Power BI, Tableau, or AWS Quick

  • Working proficiency in SQL, with the ability to write, optimize and troubleshoot queries (2-3+ years' experience preferred)

  • A foundational understanding of data warehousing concepts, data modeling and how data flows from source to reporting layer

  • Familiarity with Databricks or a similar cloud data platform, with a willingness to develop deeper expertise

  • Basic familiarity with Github for version control, including committing code and working within a shared repository

  • An analytical mindset with strong attention to detail and problem-solving ability

  • Good communication skills, with the ability to present data findings to both technical and non-technical audiences

  • Must be a proactive self-starter with curious mindset and the ability to manage multiple tasks and prioritise effectively

  • Eagerness to learn and develop skills in advanced analytics and automation

  • An interest in or understanding of the wagering industry is desirable but not essential

Are you a Dabbler?
A person’s attitude is key, as the right individual will learn quickly and bridge any skill gaps. A Dabbler is a team player, eager to share and learn from colleagues. In our remote-first workplace, a collaborative approach is essential for empowering and developing each team member (for example, we value open communication through public channels on Slack for problem-solving and brainstorming).

A Dabbler maximizes their autonomy and enjoys contributing to the Dabble community. We understand that a fulfilling life extends beyond work, and we encourage our employees to prioritize self-care and well-being. This means taking breaks when needed, setting boundaries, and seeking support when facing challenges. We are committed to creating a safe environment where individuals feel comfortable discussing their wellbeing and accessing resources when necessary.

We hold a high regard for our peers – every idea is valued. We encourage you to think creatively, be bold, and aim to continuously set higher standards. Dabble originated from sharing ideas and continues to grow in this spirit. Dabble supports the empowerment of individuals at all levels of experience and seniority to take ownership of their work and confidently share their insights.

Remuneration
The advertised salary for this position is $ 110,000 USD - $120,000 USD + benefits with room to be flexible.