Data Scientist - Product Analytics
HandshakeAbout the role
Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.
Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please reach out to us at people-hr@joinhandshake.com.
Your impact
Handshake is actively seeking an Data Scientist - Product Analytics specializing in Product, Growth, and/or Revenue analytics to support our Research and Development team, spearheading the measurement and analysis of product success. This pivotal role will play a crucial part in shaping Handshake’s overarching strategy and product roadmap. This position requires a strong blend of technical expertise, strategic thinking, and communication skills to guide our products' evolution and deliver maximum value to our three-sided marketplace, consisting of students, employers, and universities. This role reports to the Analytics Manager, embedded within the broader Data team, and you will work alongside a talented team of data scientists and analytics engineers.
Your role
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Work side-by-side and partner strategically with a Research and Development Leadership, becoming a subject-matter expert in a given domain
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Contribute to a data-driven product strategy and own the corresponding analytics prioritization and roadmapping to execute on and measure the effectiveness of this strategy
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Own domain goal-setting, tracking, and reporting on progress and impact
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Lead experimentation within a given vertical, working to ensure that tracking is instrumented proactively and scaling our ability to efficiently and reliably run experiments
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Collaborate with Analytics Engineering and Relevance teams to define metrics and build out foundational data models
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Contribute to the vision and strategy for product analytics and the wider data organization at Handshake
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Lead by example to build a culture of accountability and rigor to substantiate proven business impact
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Advocate for the millions of students and employer users on Handshake by communicating data insights and recommendations to marketing, product and leadership teams
Your experience
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Proven experience in using data to drive product development and decision-making and direct experience working with engineers and wider product teams
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Strong communication and presentation skills, including the ability to translate data-related concepts and results for leadership and less technical stakeholders
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Experience conducting exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization. Beyond just reporting metrics, we value the ability to dig in an explain the “why” behind trends
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A clear understanding and demonstrable experience in experimentation design and process development, including comfort with A/B testing
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Expertise in SQL is essential. Expertise with Jupyter-style notebooks and Python statistics packages is a huge plus.
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Experience creating dashboards and visualizations in tools such as Hex, Looker, Mode, etc.
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Ability to start, own, and drive projects to completion with minimal guidance
Bonus areas of expertise
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Data modeling (we use dbt!)
- Some familiarity with LookML
Our Analytics Stack
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Fivetran, Segment, Bigquery, dbt, Airflow, Looker, Hex
Compensation range
- $157,500-$175,000
For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.
About us
Handshake is the #1 place to launch a career with no connections, experience, or luck required. The platform connects up-and-coming talen
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