Senior Analytics Engineer – Customer Experience Data Engineering & Insight Leadership at brighthush

About brighthush

brighthush is the world’s most trusted prediction market platform, empowering millions of users to trade on real‑world events across politics, economics, sports, culture, and current affairs. With a peer‑to‑peer architecture that eliminates a centralized “house,” brighthush aggregates diverse opinions into transparent, market‑based probabilities that reflect collective expectations about the future. In 2025, we processed over $21 B in trades, and our community continues to grow as we become a ubiquitous beacon of truth in global media.

Our mission is simple yet ambitious: to provide the most accurate, real‑time insights into what matters most to people worldwide. To achieve this, we rely on a combination of cutting‑edge technology, a passionate community, and a data‑driven culture that values transparency, ownership, and continuous improvement.

Why Join the Customer Experience (CX) Team?

The CX team at brighthush is small, high‑ownership, and directly responsible for the experience of users moving real money on the world’s largest prediction market. Every day, the team tackles complex issues across withdrawals, KYC, market resolution, and more. The data infrastructure that supports these operations is still evolving, and that’s where you come in.

As a Senior Analytics Engineer, you will own the data foundation for CX. You’ll design, build, and maintain the models, pipelines, and semantic layer that transform raw support data into actionable insights. Your decisions will shape how the CX team operates for years to come, influencing everything from daily operations to strategic product decisions.

Key Responsibilities

• Design and maintain dbt data models for support data, covering ticketing, KYC, withdrawals, and market resolution workflows.
• Integrate data from diverse sources including Decagon, BPO partners, CRM systems, and WFM tools into the cloud warehouse.
• Build data quality tests, monitoring, and documentation so the team can trust what they’re looking at.
• Define shared metrics and dimensions in the semantic layer so CX, ops, and leadership all calculate things the same way.
• Develop dashboards and self‑serve datasets that let CX teammates answer operational questions without waiting on a data request.
• Identify recurring failure patterns in support data and translate them into documented findings for the CX playbook and internal stakeholders.
• Partner with the central data engineering team on shared pipelines, infrastructure decisions, and data governance.

Essential Qualifications

• 5+ years of experience in analytics engineering, data engineering, or a closely related data role.
• Expertise in SQL and hands‑on dbt experience, including modeling, testing, and documentation.
• Proficiency with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
• Experience with data ingestion tools such as Fivetran or Airbyte, and working knowledge of Python.
• Strong data modeling fundamentals and a track record of building systems that non‑technical teams actually use.
• Demonstrated ability to diagnose complex, multi‑variable issues and communicate findings clearly to non‑technical stakeholders.
• Track record of building or improving documentation, whether data documentation, support playbooks, or process guides.

Preferred Qualifications

• Prior experience working with customer support, CRM, or trust and safety data.
• Experience influencing product or policy decisions using data from CX or operations.
• Familiarity with on‑chain data or crypto transaction flows.

Skills & Competencies

• Advanced SQL and data modeling.
• Proficiency in dbt, Snowflake, BigQuery, or Redshift.
• Experience with Fivetran, Airbyte, or similar ingestion tools.
• Python programming for data manipulation and automation.
• Strong analytical and problem‑solving skills.
• Excellent communication skills, both written and verbal.
• Ability to work independently and take ownership of end‑to‑end data solutions.
• Comfort with ambiguity and a fast‑moving startup environment.

Career Growth & Learning Opportunities

At brighthush, we believe that learning is a continuous journey. As a Senior Analytics Engineer, you’ll:

• Lead cross‑functional initiatives that shape the future of our data platform.
• Mentor junior engineers and data analysts, fostering a culture of knowledge sharing.
• Collaborate with product, engineering, and policy teams to drive data‑driven decision making.
• Participate in hackathons, internal workshops, and industry conferences to stay at the forefront of data engineering trends.
• Advance to roles such as Lead Analytics Engineer, Data Engineering Manager, or Director of Data Science.

Work Environment & Company Culture

brighthush is built on a foundation of transparency, ownership, and impact. Our culture encourages:

• Open communication across all levels.
• Data‑driven experimentation and rapid iteration.
• Flexibility and autonomy, with a focus on results rather than micromanagement.
• A diverse and inclusive community that values every voice.
• Continuous learning through internal knowledge bases, mentorship, and external training.

Compensation & Perks

We offer a competitive total rewards package that includes:

• Base salary range: $200,000 to $250,000.
• Equity that aligns your success with the company’s growth.
• Unlimited paid time off (PTO) to support work‑life balance.
• Comprehensive health, vision, and dental coverage.
• 401(k) plan with company match.
• Hardware stipend: new MacBook Pro, large display, and accessories.
• Remote‑first work model with optional on‑site collaboration.

How to Apply

If you’re ready to own the data foundation for a high‑impact team and help shape the future of prediction markets, we’d love to hear from you. Apply now and join brighthush in our mission to bring truth to the world.