Why Join IntelePeer.ai?
At IntelePeer.ai, we are redefining how businesses communicate in the digital age. Our Communications Automation Platform blends low‑code and no‑code tools, AI‑driven insights, and seamless integration capabilities to deliver faster, smarter, and more personalized customer experiences. As a leader in cloud communications, we empower organizations across industries to automate workflows, harness data, and unlock new revenue streams—all while maintaining the flexibility and reliability that modern enterprises demand.
Our mission is simple but powerful: make every interaction count. To achieve this, we need inquisitive, data‑driven professionals who can translate raw data into actionable strategies. If you thrive on turning complex datasets into clear narratives, love collaborating across functions, and are eager to shape the future of customer communication, then you have found your next career destination.
Position Overview
We are seeking a Remote Customer Data Analyst who will serve as a strategic partner to our sales, product, and engineering teams. In this role, you will develop, track, and interpret key performance indicators (KPIs) that drive product adoption, customer satisfaction, and operational efficiency. Your insights will directly influence product roadmaps, service enhancements, and executive decision‑making, ensuring that our customers experience the highest levels of value and engagement.
While this role is fully remote, you will join a vibrant, inclusive community of innovators who celebrate curiosity, collaboration, and continuous learning.
Key Responsibilities
- Data Discovery & Validation: Identify, extract, and cleanse customer interaction logs, call detail records, and usage metrics from multiple sources, ensuring data integrity and consistency.
- KPI Design & Maintenance: Define, document, and maintain a suite of performance metrics—including adoption rates, self‑service utilization, authentication success, and service quality indicators—that align with business objectives.
- Cross‑Functional Collaboration: Partner with Sales, Product Development, Project Management, and Custom Development teams to understand strategic goals, translate them into measurable outcomes, and track progress.
- Analytics & Reporting: Build and automate weekly scorecards, monthly dashboards, and quarterly business review (QBR) decks using Looker, Microsoft Power BI, and advanced Excel models.
- Insight Generation: Perform trend analysis, root‑cause investigations, and predictive modeling to surface opportunities for performance improvement and risk mitigation.
- Continuous Improvement Initiatives: Lead regular call‑review sessions, data coordination efforts, and client presentations that drive actionable change and elevate the customer experience.
- Performance Optimization: Identify and recommend enhancements to application performance, self‑service pathways, and ID & Authentication processes based on data‑driven findings.
- Data‑First Advocacy: Champion a “Data First” mindset across the organization, fostering data literacy, encouraging evidence‑based decision making, and mentoring teammates on analytical best practices.
- Documentation & Knowledge Sharing: Create and maintain comprehensive documentation of analytical methodologies, data pipelines, and decision‑making frameworks to ensure transparency and reproducibility.
Essential Qualifications
- Minimum 3 years of professional experience in data analysis, business intelligence, or a related field, with a proven track record of delivering actionable insights.
- Advanced proficiency in Microsoft Excel (pivot tables, Power Query, VBA/macros) and SQL (query optimization, complex joins, stored procedures).
- Hands‑on experience with modern reporting‑analytics platforms such as Looker and Microsoft Power BI, including building interactive dashboards and scheduled data extracts.
- Demonstrated ability to develop, monitor, and communicate KPIs that influence product and business strategy.
- Exceptional analytical mindset with a strong eye for detail, logical reasoning, and a passion for uncovering “the why” behind trends.
- Excellent written and verbal communication skills, with the ability to present complex data concepts to technical and non‑technical audiences alike.
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business Administration, or a closely related discipline.
- U.S. work authorization (no sponsorship available).
Preferred Qualifications & Nice‑to‑Have Skills
- Experience in the cloud communications or SaaS industry, especially with AI‑enabled platforms.
- Familiarity with statistical programming languages such as R or Python (pandas, NumPy, scikit‑learn).
- Knowledge of data warehousing concepts and exposure to cloud data platforms (e.g., Snowflake, BigQuery, Redshift).
- Hands‑on experience with ETL/ELT tools and data pipeline orchestration (e.g., Airflow, DBT).
- Certification in analytics or data science (e.g., Google Data Analytics Professional Certificate, Microsoft Certified: Data Analyst Associate).
- Proven project management capability—ability to manage multiple stakeholder timelines and deliverables simultaneously.
Core Skills & Competencies
- Critical Thinking: Ability to dissect ambiguous problems, ask probing questions, and synthesize information into clear, actionable recommendations.
- Data Visualization: Skill in translating complex datasets into intuitive visual stories that drive stakeholder engagement.
- Collaboration: Comfortable working across functional boundaries, building consensus, and influencing decisions without direct authority.
- Adaptability: Thrive in a fast‑moving environment where priorities shift, and new data sources emerge regularly.
- Self‑Motivation: Proactive in identifying improvement opportunities and taking ownership of initiatives from concept to delivery.
- Ethical Data Handling: Commitment to data privacy, security, and compliance standards (GDPR, CCPA, HIPAA where applicable).
Career Growth & Learning Opportunities
At IntelePeer.ai, your career trajectory is limited only by your ambition. As a Customer Data Analyst, you will have access to:
- Mentorship Programs: Pairing with senior data scientists and product leaders to deepen technical expertise.
- Professional Development Stipends: Annual budget for conferences, certifications, and online courses (e.g., Coursera, Udacity, LinkedIn Learning).
- Internal Mobility: Opportunities to transition into senior analytics, data engineering, product management, or strategy roles as the organization expands.
- Innovation Labs: Invitation to contribute to experimental projects leveraging AI, machine learning, and advanced analytics to solve emerging business challenges.
- Leadership Exposure: Regular interaction with executives and participation in quarterly business reviews, allowing you to showcase impact and influence strategic direction.
Work Environment & Company Culture
Our remote‑first philosophy is built on trust, flexibility, and transparency. You’ll enjoy:
- Flexible Hours: Design your schedule around personal peak productivity periods while meeting core collaboration windows.
- Inclusive Community: Diverse teams that celebrate different perspectives, fostering a culture of belonging and mutual respect.
- Virtual Collaboration Tools: State‑of‑the‑art platforms for video conferencing, asynchronous communication, and real‑time document sharing.
- Well‑Being Initiatives: Unlimited vacation, paid holidays, and an emphasis on mental health through Employee Assistance Programs and wellness reimbursements.
- Celebrate Success: Regular virtual events, gamified challenges, and occasional in‑person meet‑ups (e.g., annual retreat, regional socials).
Compensation, Perks & Benefits
We recognize that a rewarding career is about more than salary. Our comprehensive package includes:
- Competitive Base Salary: Market‑aligned compensation with performance‑based incentives.
- Equity Participation: Stock options that align your success with the company’s growth.
- Health & Welfare: Comprehensive medical, dental, and vision plans for employees and dependents.
- Retirement Planning: 401(k) plan with company match to help you plan for the future.
- Life & Disability Coverage: Company‑paid life insurance and supplemental disability protection.
- Flexible Spending Accounts: Health Savings Account (HSA) and Dependent Care FSA options.
- Learning & Development: Tuition reimbursement for relevant coursework and certifications.
- Technology Stipend: Annual allowance for home office equipment, high‑speed internet, and phone services.
- Wellness Perks: Gym membership reimbursement, virtual fitness classes, and mental‑health resources.
- Family Support: Paid parental leave, adoption assistance, and child‑care resource referrals.
- Community Engagement: Volunteer time off and company‑sponsored charitable initiatives.
Application Process & Next Steps
Ready to make an impact? Follow these steps to apply:
- Prepare an up‑to‑date resume highlighting relevant analytics projects, tools, and business outcomes.
- Craft a concise cover letter that showcases your data‑first mindset, collaborative experience, and why IntelePeer.ai excites you.
- Submit your application through our secure portal.
- If selected, you will participate in a structured interview process, including a technical case study, a culture fit discussion, and a final conversation with senior leadership.
We are an E‑Verify employer and adhere to all applicable employment and privacy regulations, including GDPR and CCPA. For any data‑subject rights requests, please email [email protected]. Applicants must be authorized to work in the United States; we are unable to sponsor visas at this time.
Join Us – Shape the Future of Customer Communication
If you are a data enthusiast eager to translate numbers into narratives that drive tangible business results, we want to hear from you. Apply now and become an integral part of a forward‑thinking team that values curiosity, innovation, and impact.
Apply Now
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