Data Analytics Manager, Embedded Analytics Products

At Tive, we imagine a fully-transparent world in which everything and everyone is connected. We innovate beyond what the world thought possible—so what people hold near and dear arrives on time and in full.

We believe (and live!) four core values:

• Transparency First: We make everything visible so that everyone can operate better
• Always strive to make things simpler
• We are One Team, we have each other's backs
• Relentless iteration to optimize and improve

Whether shipped by road, rail, ocean, or air, Tive reduces shipment delays, minimizes rejected loads, and decreases theft, damage, and spoilage. Our customers count on Tive to ensure that their shipments are delivered on time and in full—because every shipment matters.

Why This Role Exists

Actionable, self-service analytics is a new, crucial product pillar at Tive. We’re investing in embedded dashboards, benchmarking, and insights that customers rely on every day—not one-off slide decks or reports. To build on existing momentum and to reach our goals with this product, we need a leader who can turn strategic product requirements and customer insights into production-ready data models, BI content, and user-facing features.

Key Responsibilities 

• Ship data-driven SaaS features that customers love and pay for
• • Lead development of Tive’s new embedded Analytics product
  • Design scalable models & dashboards: Build reusable dbt-style SQL models and production dashboards in Sigma (or similar BI tool) that serve thousands of users
  • Own your team’s engineering backlog: break down product requirements (alongside a dedicated PM) into user stories, acceptance criteria, and sprint plans.
  • Measure adoption, engagement, and performance; partner with Product to iterate based on data and customer feedback
  • Collaborate cross-functionally to ensure end-to-end customer value: Sync regularly with Product, Design, Data Science, and Platform Engineering
• Lead & mentor a team of of analytics engineers
• • Be a player-coach: In this lean team you’ll divide your time between hands-on development and guiding the team’s technical and people growth
  • Develop talent: set clear goals, give actionable feedback, unblock work, and craft career paths for each engineer.
  • Champion agile practice:  Run standups, backlog refinement, and other agile ceremonies, promoting shared ownership and continuous improvement so the team’s delivery remains predictable, transparent, and outcome-focused.
  • Raise the bar on quality: Establish coding standards, CI checks, data tests, and post-release monitoring; high-velocity is good, high-quality releases are better

Our Ideal Candidate

• Bachelor’s degree in Data Science, Analytics, Supply Chain Management, Business, or a related field (Master’s preferred).
• 5+ years experience in data analytics including at least 2+ years building analytics for SaaS products (not internal BI), 2+ years managing or leading engineers
• Champions an outcome-oriented product mindset—running small, hypothesis-driven experiments, iterating quickly with real user feedback, and measuring success by the impact on customers and the business rather than feature count.
• Proven record shipping customer-facing dashboards or embedded analytics in a multi-tenant environment.
• Expert SQL and strong experience with modern BI tools (Sigma, Looker, Tableau, etc.)
• Comfortable owning the entire analytics SDLC: modeling, version control, testing, visualization, and release
• Familiar with data warehousing, ETL processes, cloud warehouses (Snowflake, Redshift, BigQuery), and basic ML/AI concepts
• Strong problem-solving skills and the ability to work with complex datasets.
• Comfort operating in an agile, late-stage-startup setting—able to navigate some ambiguity and make thoughtful, timely decisions without perfect information.
• Excellent written & verbal communication—able to translate data architecture into business impact
• Nice-to-have: supply-chain domain knowledge, familiarity with bt, exposure to product analytics tools (Amplitude, Mixpanel), and/or experience mentoring analysts into engineers

Work Setup & Eligibility

• Boston HQ/hybrid preferred.  Remote within the U.S. (East-Coast hours) considered
• U.S. Citizenship or Green Card required (cannot sponsor OPT/H-1B at this time
• Kosovo applicants considered too.

What does Tive offer?

• The autonomy and resources to build what you know should exist
• Competitive salary plus meaningful equity—own a piece of Tive’s success
• Choice of office-based or hybrid set-up if in Boston or Pristina, with teammates who have your back
• A diverse, inclusive culture where every voice matters

Ready to build data products that move the world’s supply chain? Apply now and let’s make every shipment count.

We celebrate diversity, and consider it key to our success as both a team and a company. We are proud to be an equal-opportunity employer, and we are committed to creating an inclusive environment of mutual respect for all employees.