Role Description The Data Analyst Intern will support ABA Center’s operational and strategic initiatives through data analysis, reporting, and process improvement efforts. This role is designed for an individual looking to gain hands-on experience in business analytics, healthcare operations, and data-driven decision making. The intern will assist with collecting, organizing, analyzing, and visualizing operational data to help identify trends, monitor key performance indicators (KPIs), and support leadership reporting. This position offers exposure to cross-functional collaboration and real-world business intelligence practices within a growing healthcare organization. Key Responsibilities - Assist with collecting, organizing, and validating operational data from multiple sources - Support the creation and maintenance of reports, dashboards, and KPI tracking tools - Analyze operational trends and assist in identifying opportunities for process improvement - Help maintain reporting accuracy, consistency, and distribution processes - Prepare data summaries, visualizations, and presentations for leadership review - Participate in process improvement and operational analytics projects - Perform ad hoc analysis and administrative support related to operational reporting as needed Qualifications - Currently pursuing or recently completed a Bachelor’s Degree - Strong analytical and problem-solving skills - Proficiency in Microsoft Excel - Experience with data visualization tools such as Power BI, Tableau, or similar platforms preferred - Basic understanding of data analysis concepts and reporting methodologies - Strong attention to detail and organizational skills - Effective written and verbal communication skills Requirements - Must be eligible to receive academic credit through an accredited college or university - Documentation from the academic institution may be required prior to the start of the internship - Internship schedule: Monday through Friday, up to 5 hours per day (schedule to be coordinated with academic requirements) Benefits - $18 - $22 /hour + College Credit - Duration: 8-12 weeks - Schedule: 30-40 hours per week - Monday-Friday

Role Description As a Data Analyst, you’ll play a key role in powering data-driven decisions across the entire company. You will partner closely with the Data Platform team, data engineers, and game teams to own, evolve, and scale the central analytics tools that every team at Homa relies on daily. - Own and evolve Homa’s core analytics dashboards: ensure they are accurate, trusted, and continuously improved so every team can make fast, confident decisions. - Guarantee data quality and consistency across all data surfaces (Tableau dashboards, web tools, internal apps), one source of truth, no exceptions. - Support hybrid game analytics when needed, run ad hoc analyses for game teams and translate complex data into clear, actionable insights. - Identify and build new visualizations and tools based on stakeholder needs: own the full scope from scoping to production deployment. - Drive the rollout of self-service analytics in collaboration with the Data Platform team: building query templates and validation layers that give teams direct access to game data through AI-powered tools. This is a great opportunity to own tools used by the entire company, gain direct exposure to gaming product analytics, and be part of Homa’s GenAI data transformation from day one. Qualifications - Solid data manipulation skills: proficient in SQL and Python, comfortable transforming and modeling raw data from multiple sources into clean, analysis-ready datasets. - 3+ years of proven experience in data analytics in the tech industry. - Hands-on deployment and production experience: shipped data work to production using modern tooling like dbt, Airflow, and GitHub (or equivalents). - BI tool expertise (Tableau, Looker, or equivalent): build and maintain complex dashboards independently and make smart visualization decisions. - Strong stakeholder data translation: convert business questions into scoped, realistic deliverables and know what to prioritize when bandwidth is limited. - Production mindset: own what you build, monitor it, and ensure it keeps working long after launch. - Comfort operating at scale: worked with high-volume datasets where performance, cost, and reconciliation across sources matter. Requirements - Bonus points if you have experience in B2C industries with high data volume (gaming, streaming, e-commerce). - Early exposure to GenAI or LLM-based tools in a data workflow context. - Gaming industry knowledge or strong interest in mobile games and player behavior. Benefits - 🏥 Comprehensive Benefits: Depending on your location, enjoy a range of perks such as insurance, meal vouchers, public transport, gym memberships, and more. - 🏢 Paris HQ Access: Enjoy a desk at our private office in a well-located WeWork building with access to WeWork perks like rooftop view and designed coworking spaces. - 🌍 Coworking Access: Access WeWork spaces throughout Europe, along with all their perks and professional office environments. - 🌐 Global Team: Collaborate in English with top-tier talent from 35+ countries, spanning Europe, the UK, the US, and more. - ✈️ Team Gatherings: Join us for occasional team gatherings, off-site retreats (Workations) to connect, recharge, and celebrate. - 📈 Performance Reviews: Every six months, reflect on your progress, recognize achievements, and align on clear development goals. - 💻 Equipment Support: From day one, receive everything needed to do your best work, including a home office setup allowance if working remotely.

• Sit with internal stakeholders (Medicare sales, finance, operations, HR) to walk them through Omni dashboards, capture feedback, document defects and change requests, and track them to resolution. • Make report-side changes in Omni: tile edits, formatting, labels, filters, and layout. Escalate anything that touches dbt models or schema to the Interim Head of Analytics. • Write SQL to spot-check numbers, audit data quality, and answer one-off questions from the business. • Maintain and update the entity-relationship documentation for the Mart layer as the schema evolves. • Reconcile reported numbers against source systems (Sabal, Atlantis, Paylocity, Sonar, Retreaver) when discrepancies are flagged. • Own a clean, organized backlog of business requests and known issues so nothing falls through the cracks.

• Lead, mentor, and develop a team of four analysts embedded across Brookhaven, Driving Empire, and NFL Universe Football, providing clear direction, feedback, and growth opportunities. • Own the analytics function's centralized roadmap covering tooling, instrumentation, automation, and enablement priorities. • Partner with each game team's product manager and analysts to maintain a prioritized backlog of analytics work aligned to their roadmap. • Establish and maintain high standards for analytical methodology across the portfolio, including A/B testing governance, telemetry design, and data storytelling. • Identify and drive opportunities to automate reporting, improve self-serve access to data, and incorporate AI tooling to raise the team's output. • Ensure the team is producing clear, decision-oriented outputs that are trusted by game leads and leadership. • Create systems for knowledge sharing across the analytics team, including regular analysis reviews, shared documentation, reusable templates, cross-game learnings, and opportunities for analysts to present work to one another.