Sortly is a simple, multi-device inventory management solution. Our visual & intuitive approach to inventory enables thousands of SMBs and teams within iconic corporations, government entities, music bands & sports teams to stay on top of their consumables, assets, and material things. With over 8,000 five-star ratings in the App Store and a net promoter score greater than 55, our impressive growth has primarily been driven by organic sources and word of mouth. We are profitable, financially independent, and primed to scale within our $20B market! We are proudly a distributed and remote-first company since inception with teams across 4 countries.

OUR VALUES

Smart - We make decisions based on knowledge and understanding with the aim of creating and improving differentiated products that benefit our business and customers.

Inspiring - We embrace the spirit of entrepreneurship, taking considered risks and pushing ourselves to think boldly and creatively.

Empathetic - We are customer-centered by mission, with respect for the individual and a desire to create a great community.

Real - We seek opportunities to learn from our mistakes and successes, our colleagues and customers, and to help each other improve.

ABOUT THE ROLE

The Product Analytics Manager at Sortly will play a pivotal role in both understanding and leveraging product data to drive strategic decision-making. This position goes beyond technical proficiency in data analysis; it demands a deep comprehension of business context and customer behavior. The ideal candidate will be adept at transforming data into compelling stories, providing actionable insights, and driving a data-informed culture across the company. This role requires a balance of technical expertise, analytical acumen, and strong communication skills for effective cross-functional collaboration.

Key Responsibilities

Data Analysis and Insight Generation: Dive deep into data to uncover trends and insights, transforming complex datasets into understandable and compelling narratives that inform business strategies.
Maintain and Monitor Dashboards: Oversee and enhance a suite of dashboards, ensuring they effectively communicate product metrics and trends.
Proactive Communication: Identify key insights and proactively communicate these findings, collaborating with various teams to drive informed decision-making.
Product Analytics Operations: Lead the day-to-day operations of product analytics, focusing on accuracy, relevance, and strategic impact of the data.
Data Enablement: Empower teams with insightful data, facilitating their understanding and aiding in data-driven decision-making processes.
Tool Ownership and Optimization: Manage tools like Amplitude Analytics and Amplitude Experiment, ensuring they are leveraged to their fullest potential to glean product insights.

Skills and Qualifications:

Analytical Storytelling: Strong capability in interpreting data and crafting compelling stories that clearly articulate insights and recommendations.
Data-Driven Decision Making: A keen eye for distinguishing actionable insights from noise, with a focus on understanding customer behavior and business impact.
Technical Proficiency: Deep understanding of product analytics, with the ability to effectively utilize tools like Amplitude Analytics and Experiment.
Strong Communication: Excellent interpersonal and communication skills, capable of engaging stakeholders at all levels in the company.
Independent and Collaborative: Ability to work autonomously in a dynamic environment, managing ambiguity while collaborating effectively across functions.

Qualifications

Product Analytics Expertise: Proven experience in product analytics, particularly with tools like Amplitude Analytics and Experiment.
A/B Testing Experience: Demonstrated ability in managing and interpreting A/B tests to drive product decisions.
Data Management: Experience in handling large data sets, with a focus on deriving meaningful insights for business strategy.
Cross-Functional Collaboration: Prior experience in roles that require effective communication and collaboration across various teams.

Requirements

Proficiency with Amplitude Analytics is a must. Candidates should be comfortable running analyses and possess working knowledge of tooling.
Proficiency with Amplitude Experiment is a must. Candidates should be comfortable setting up experiments and possess working knowledge of configuring, monitoring, and analyzing experiments.

Nice to Haves

Experience in inventory management, asset/consumable tracking, or procurement process