Role in brief
Manychat, a chat marketing platform, is hiring a Senior Product Analyst. This role involves translating data into product insights, defining success metrics, and guiding A/B tests to influence the product roadmap. It suits experienced product analysts with strong SQL and BI tool skills, who can independently drive data initiatives and communicate findings effectively to product and engineering teams.
About the role
This Senior Product Analyst role at Manychat focuses on leveraging data to inform product strategy and decisions. The successful candidate will work closely with Product Managers to establish key performance indicators and measurable goals that link product impact to business results. A core responsibility involves designing and evaluating A/B tests and other experimental methods to assess the effectiveness of new features and user experiences.
The role requires transforming complex data into clear narratives that guide product development. This includes identifying opportunities, highlighting trade-offs, and helping to prioritize initiatives on the product roadmap. The analyst will also collaborate with engineering and data teams to ensure the integrity and scalability of data models and tracking systems, contributing to a reliable data infrastructure.
Success in this position means making data accessible and fostering data literacy across product teams. This involves creating informative dashboards and enabling self-service analytics, allowing team members to independently access and understand relevant data. The ideal candidate will be proactive, detail-oriented, and capable of driving analytical initiatives from conception to completion.
The annual salary for this role ranges from $70,200 to $109,200.
Skills that matter here
- SQL: This role requires strong SQL skills for querying and manipulating data to extract product insights.
- BI tools: The analyst will use BI tools, such as Tableau, to create dashboards and make data accessible to product teams.
- Tableau: Proficiency in Tableau is needed to visualize data and enable self-service analytics for product teams.
- Python: Python is a plus for performing advanced data analysis and statistical modeling in this role.
- R: R is a plus for advanced analytical tasks, including statistical analysis and causal inference.
Who this role suits
- Someone with at least four years of experience in product analytics, preferably within a SaaS or consumer-facing product environment.
- An individual who excels at designing and evaluating A/B tests and other experimental methods.
- A person with a strong product mindset, capable of translating data into actionable hypotheses and product decisions.
- A clear and compelling communicator who can influence product managers, engineers, and leaders with data-driven stories.
From the employer
WHAT YOU'LL DO
- Drive insights that matter: Translate complex data into compelling stories that guide product decisions and strategy.
- Shape success metrics: Partner with PMs to define KPIs, metric trees, and measurable goals that connect product impact to business outcomes.
- Guide experimentation: Design, run, and evaluate A/B tests and causal analyses to measure the impact of new features and user flows.
- Influence the roadmap: Surface insights that size opportunities, highlight trade-offs, and sharpen prioritization.
- Build trusted data: Collaborate with engineers and data teams to ensure reliable, scalable data models and tracking.
- Make data accessible: Create dashboards, enable self-service, and drive data literacy across product teams.
TO BE SUCCESSFUL IN THIS ROLE
- Experience: 4+ years in product analytics or similar area, ideally in SaaS or consumer-facing products.
- Experimentation expertise: Proven experience designing and evaluating A/B tests and other experimental methods.
- Technical skills: Strong SQL and BI tools (e.g. Tableau). Proficiency with Python/R for advanced analysis is a plus.
- Product mindset: Ability to translate data into hypotheses, opportunities, and product decisions.
- Stats comfort: Solid grasp of statistics, causal inference, and how to separate signal from noise.
- Communication: Clear and compelling storytelling – you can influence PMs, engineers, and leaders alike.
- Ways of working: Proactive, detail-oriented, and able to drive initiatives independently.
WHAT WE OFFER
- Annual professional development reimbursement.
- Generous time-off policy to balance your work and life.
- Comprehensive medical, dental, and vision coverage for you and your dependents.
- Hybrid format to split your time between the comforts of home and collaborative spaces.
- Relocation support for you and your family.
- Professional development budget for relevant conference tickets, training programs, or courses.
- Free meals and snacks in the office.
Questions about this role
What is the remote work policy for this position?
This is a remote position, and Manychat offers a hybrid format to balance working from home and collaborative office spaces.
What level of seniority is expected for this role?
This is a senior-level position, requiring at least 4 years of experience in product analytics or a similar field.
What are the key technical skills required for this role?
Key technical skills include strong SQL, experience with BI tools like Tableau, and proficiency in Python or R for advanced analysis is a plus.
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