Operations Analytics Specialist | Dashboards & Onboarding

Drillbit

Austin (TX)

On-site

USD 70,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Daily Catered Lunch

Competitive Top-of-Market Salary

Early-Stage Equity

$100/Month Gym Reimbursement

Relocation Assistance

Monthly Team Outings

Medical, Dental & Vision Insurance

Job summary

Drillbit in Austin, TX is seeking a Business Operations Analyst who loves solving ambiguous problems with data and improving internal systems at scale. You will analyze data flows across product and operations, identify bottlenecks, and help ensure our tools and processes are clean and reliable.

You will build dashboards, guide customers through onboarding, and collaborate with engineering to improve data quality.

Qualifications

Bachelor’s degree in engineering, mathematics, computer science, data science, physics, or another quantitative field.
Open to new grads; 1+ years of experience in operations, analytics, consulting, business development, product, or engineering roles preferred.
Sales experience is a plus; thrive when owning customer conversations end-to-end; onboarding, diagnosing patterns, and driving the right fixes across the team.
Extremely organized, an excellent communicator, and able to bring order to fast-moving operational environments.
Experienced with SQL, TypeScript/React environments, and API-driven tools; understand how systems work under the hood.
Fluent with Excel and Notion, using relations, rollups, formulas, and multi-database structures to design dashboards, automate workflows, and standardize processes.
Self-starter who thrives on autonomy and momentum, even when the path isn’t clear.

Responsibilities

Analyze operational, product, and customer data to identify patterns, bottlenecks, and gaps.
Build, maintain, and improve internal dashboards to monitor performance and support decision-making.
Guide customers through onboarding and issue resolution, ensuring they feel supported and confident using Mason.
Partner with engineering to debug data issues, validate workflows, and improve data quality across systems.
Design and document repeatable procedures so the organization can move faster with fewer errors.
Operate with urgency, taking ownership of problems end-to-end even when the path is unclear.