Job Title: Sales Ops & Business Analytics Specialist

Job Type: Full-time

Location: Remote

The Role

We’re looking for a Sales Operations & Business Analytics Specialist to help strengthen the systems, data, and insights behind a growing revenue organization.

Working closely with the Sales Operations Senior Lead, you’ll improve CRM operations, pipeline visibility, forecasting, and reporting while using data to answer high-impact business questions. This role is ideal for someone who enjoys turning complex data into clear insights and building scalable processes in a fast-moving environment.

What You’ll Do

Support and improve CRM operations, including data hygiene, workflow automation, reporting, and user support.
Maintain pipeline quality and support weekly, monthly, and quarterly forecasting.
Build and enhance dashboards and performance reporting across pipeline health, conversion, seller productivity, and quota attainment.
Analyze sales trends, funnels, conversion rates, and cohort performance to identify opportunities and performance gaps.
Help improve forecasting models using historical data and predictive signals.
Support the implementation and adoption of new sales tools, CRM pipelines, and processes.
Translate analysis into clear recommendations and business narratives for leadership and cross-functional stakeholders.
Tackle ad hoc analytical problems across areas such as incentive modeling, lead generation, KPIs, and recruitment funnels.

What We’re Looking For

2–4+ years in Sales Operations, Revenue Operations, Business Analytics, or a related role.
Hands-on experience with a modern CRM platform; HubSpot is preferred.
Experience building CRM reports, dashboards, and workflows.
Advanced Excel or Google Sheets skills.
Experience with SQL and/or BI tools such as Tableau, Looker, or Power BI is strongly preferred.
Strong business judgment—you can connect data and operational metrics to revenue impact and business decisions.
Strong written and verbal communication skills, including presenting insights to non-technical stakeholders.
Comfortable working with ambiguity, evolving priorities, and problems without predefined solutions.

Preferred

Advanced HubSpot proficiency or certification.
Experience with forecasting, predictive analytics, or statistical modeling.
Experience with sales incentives, quotas, or KPI analysis.
Exposure to cross-functional analytics across Marketing, Customer Success, Recruitment, or Business Operations.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $80,000 –$120,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.