Tribute Technology is an established best-in-class Software as a Service technology company and solutions provider. Our customers include some of the largest and most prominent media brands in the world, spanning 4 continents and reaching millions of users every day. Our mission is to make meaningful connections between our customers and their users through innovation and a commitment to excellent user experience.
ABOUT TRIBUTE TECHNOLOGY:
At Tribute Technology, we make end-of-life celebrations memorable, meaningful, and effortless through thoughtful and innovative technology solutions. Our mission is to help communities around the world celebrate life and pay tribute to those we love. Our comprehensive platform brings together software and technology to provide a fully integrated experience for all users, whether that is a family, a funeral home, or an online publisher. We are the market leader in the US and Canada, with global expansion plans and a growing international team of more than 400 individuals in the US, Canada, Philippines, Ukraine and India.
ABOUT YOU:
This role is for a Senior Analytics professional who has spent years close to performance data — not building reports, but developing genuine understanding of what drives results and what to do about it.
Tribute Technology operates a large, heterogeneous eCommerce portfolio across thousands of websites and multiple technology stacks. The analytical challenge is real: high variance, complex inputs, and a purchase dynamic that looks nothing like traditional retail. We need someone who has the experience and the instincts to make sense of that system — to build the baselines, identify what is moving performance, measure the impact of changes, and give the business a clear view of where to focus.
This is a player-coach role. You will lead a small team of analysts while remaining a hands-on contributor yourself. You will work directly with the Head of Operations & Data and partner closely with the eCommerce team and eCommerce Growth team. If you are early in your career or looking to grow into eCommerce analytics, this is not the right fit. If you have done this work at depth and want to build something, it is.
WHAT YOU WILL DO:
- Know the system:
- Build and maintain a deep working model of how Tribute's eCommerce system works — the inputs, the mechanics, how performance varies across site types, platforms, and customer segments.
- Develop per-unit baseline models and maintain forecasts of key sub-metrics; identify when actuals deviate from expectation and diagnose why.
- Understand the full input set — traffic mix, product availability, pricing, site configuration, platform behavior — and how changes in those inputs flow through to outcomes.
- Measure what changes:
- When the business makes a change — a product update, a platform migration, a pricing move — define the measurement approach, run the analysis, and deliver a clear read on how the system responded.
- Separate the effect of deliberate changes from background noise, seasonal variation, and portfolio mix shifts. Be precise about what the data supports and what it does not.
- Partner with the eCommerce Growth team to measure the impact of experiments and initiatives; provide the performance intelligence that informs whether changes are working.
- Maintain a record of changes, system responses, and learnings — building the institutional knowledge that makes the team sharper over time.
- Drive performance intelligence:
- Give the eCommerce team and senior leadership a clear, grounded view of what is driving performance — and what is worth acting on versus what is noise.
- Identify where the system is underperforming relative to baseline, diagnose root causes, and develop a point of view on what changes are likely to move the needle.
- Communicate directly and without excessive process — this is a fast company and the value of good analysis comes from getting it into the right hands quickly.
- As the team matures, develop increasingly precise input on what changes are worth making, sharpening the feedback loop between this team and the teams that act.
- Lead the team:
- Lead a team of eCommerce Operations Analysts — set direction, develop their domain expertise, and hold the team to a high standard of analytical quality.
- Operate as a player-coach: you do significant analytical work yourself while developing analysts who go deep in specific sub-domains.
- Build scalable processes and tooling where today's work is manual; identify gaps in analytical coverage and close them.
EDUCATION AND/OR EXPERIENCE:
- Experience:
- 8+ years of hands-on eCommerce or digital analytics experience — with real time spent doing the analytical work, not just directing
- Experience working with large, heterogeneous portfolios where individual-unit noise is high and aggregate pattern recognition is essential.
- Track record of building analytical capability from scratch — defining what to measure, how to measure it, and how to turn measurement into decisions.
- Experience leading or mentoring analysts while remaining a strong individual contributor.
- Short-lifecycle or event-driven eCommerce experience is a strong plus.
- Systems thinking & business judgment:
- Ability to hold a complex eCommerce system in your head — reason clearly about inputs, mechanics, and outputs, and how changes propagate through the system.
- Strong instincts for distinguishing signal from noise in real-world data; experience building baselines and forecasts in high-variance environments.
- Commercial orientation — you think about what drives performance and what the business should do, not just what the data shows.
- Able to build analytical frameworks from first principles when no playbook exists.
- Technical Skills:
- SQL — advanced, across BigQuery and Athena; window functions, CTEs, complex aggregations, large partitioned datasets.
- Google Analytics 4 — event model, funnel and path analysis, custom dimensions, attribution, BigQuery export schema.
- Statistical modeling — baseline modeling, forecasting, anomaly detection; sound judgment about when methods are and are not appropriate.
- Power BI — report development, DAX measures, dataset management.
- Looker / LookML — navigating models, building explores, working within existing data structures.
- Looker Studio — dashboard creation, blended data sources.
- Python or R for statistical modeling and ad hoc analysis — strongly preferred.
- How you work:
- Direct communicator — you give the business a genuine read on performance, including when the answer is uncomfortable.
- High ownership; self-directed in ambiguous environments.
- Collaborative and effective across teams without relying on formal authority.
- Rigorous — you hold yourself and your team to a high standard of analytical accuracy.
- Education:
- Bachelor's degree in a quantitative field — Mathematics, Statistics, Computer Science, Economics, Engineering, or related — required.
- Advanced degree or relevant certifications are a plus.
BENEFITS:
- Competitive salary
- Fully remote across India
- An outstanding collaborative work environment
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position
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