Product Analyst
Listed on 2025-12-01
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst -
Business
Data Analyst, Business Systems/ Tech Analyst
Product Analyst
Reports To: Director of Product Owners
Department: Product Development
Location: Atlanta, GA
At M-Tech Systems, our company mission is to increase yield in protein production to help feed the growing world population without compromising animal welfare or damaging the planet. We aim to create software that delivers real-time data to the entire supply chain that allows producers to get better insight into what is happening on their farms and what they can do to responsibly improve production.
M-Tech Systems is the industry-leading provider for Live Animal Protein Production Performance Management Tools. For over 30 years, M-Tech Systems has provided cutting-edge enterprise data solutions for all aspects of the live poultry operations cycle. We provide our customers with solutions in Business Intelligence, Live Production Accounting, Production Planning, and Remote Data Management—all through an integrated system. Our applications can currently be found running businesses on six continents in over 50 countries.
M-Tech has built an international reputation for equipping our customers with the power to utilize comprehensive data to maximize profitability.
With nearly 300 employees globally, M-Tech Systems currently has main offices in Mexico, United States, and Brazil, with additional resources in key markets around the world. M-Tech Systems USA’s headquarters is based in Atlanta, Georgia and has approximately 90 team members in a casual, collaborative environment. Our work culture here is based on a passion for helping our clients feed the world, resulting in a flexible and rewarding atmosphere.
We pride ourselves for having a working atmosphere that encourages collaboration, exceptional development tooling, training, and ongoing opportunities to work with senior and executive management.
We’re hiring a data-driven Product Analyst to be the source of truth for product usage and outcomes. You’ll own our Pendo instrumentation (pages, events, funnels, segments) and the analytics stack that turns product data into actionable KPIs for roadmap decisions. You’ll partner with Product Managers before, during, and after launches to define success, measure adoption, and recommend next actions that drive customer value and business impact.
EssentialFunctions & Responsibilities Instrumentation & Data Quality
- Build and maintain a Pendo tracking plan: taxonomy, naming conventions, page/feature tagging, event specs, versioning.
- Configure funnels, paths, cohorts, and segments (e.g., role, tier, region, account size) to answer, “who is adopting and why.”
- Implement data quality guardrails: monitoring, alerts for broken tags, change logs, documentation, and deprecation workflow.
- Facilitate pre-launch success criteria with PMs (baseline, target, measurement plan) and document in a launch brief.
- Produce 30/60/90-day post-launch readouts with adoption, activation, depth of use, retention, time-to-value, and insights.
- Tie product metrics to business outcomes (account coverage, expansion, churn risk, NPS/CSAT correlations).
- Build source-of-truth dashboards (Pendo + BI tool) for initiative health, portfolio views, and executive rollups.
- Create self-serve reporting (saved reports, curated charts, “how to read this” notes) for PMs and leadership.
- Translate insights into clear recommendations: double down, iterate, holdback, or deprecate.
- Support A/B tests, staged rollouts, and holdbacks; analyze impact and statistical confidence.
- Partner on in-app guides/tooltips/nudges (if applicable) and measure lift.
- With PMM/Marketing: surface usage insights to inform positioning, release notes, and campaigns.
- With Customer Success: provide adoption heatmaps, risk alerts, and feature-education opportunities.
- With Data/BI: join product usage to account/financial data; improve semantic layers and definitions.
- 4–7+ years product analytics, product management, or equivalent B2B SaaS analytics experience.
- Direct experience in agriculture, animal protein, livestock operations, or food supply chain preferred (poultry/swine experience strongly…
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