[Remote] Staff Data Analyst at Jellyfish

United States

Jellyfish Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AnalyticsIndustries

Requirements

  • Strong knowledge of SQL (preferably Databricks, Snowflake, or Redshift)
  • Experience with data quality best practices and building data models in dbt
  • Experience using Python (numpy, pandas, sklearn, etc.) across exploratory data analysis or predictive modeling
  • Proven leadership and a track record of shipping improvements with product or GTM teams
  • Proven ability to influence senior decision-makers with data-driven insights
  • Strong perspective on using the appropriate data solution for the business need at hand
  • Strong perspective on scaling analytics solutions across a company for both technical and non-technical users
  • Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
  • Growth mindset and flexibility to adapt to changing technology and workflows
  • Humility, a performance-driven attitude, and a team-player approach
  • Passion for building great companies in an environment where a sense of humor is a must
  • Authorized to work for any employer in the US (no sponsorship available)

Responsibilities

  • Facilitate data-informed decision-making across the organization
  • Partner with leaders at all levels to understand important business problems, then own the full lifecycle of data-driven solutions: analysis, metric definitions, transformation pipelines in dbt, experimentation, measurement, and data story-telling
  • Collaborate with Product, Research, Customer Success, and Rev Ops to provide data products that allow them to better measure the impact of their work and find new opportunities
  • Work with data engineers on the team to help build the new Lake House in Databricks and document vital context about the data that can be used by both stakeholders and AI tools
  • Increase impact by continuously learning and evolving workflows as AI technology matures; form opinions that help Jellyfish support its customers in their AI journeys
  • Enable stakeholders to have a bigger impact through the use of AI in their own analytics workflows; as necessary, build the data tools they need, be their expert-in-the-loop, or influence them to adopt new workflows
  • Be a leader in data best practices across the Research team and Jellyfish; mentor other team members to help in their growth

Skills

SQL
dbt
Databricks
data analysis
data pipelines
experimentation
data storytelling
Lake House
AI
metrics definition
transformation

Jellyfish

Platform for engineering intelligence and strategy

About Jellyfish

Jellyfish offers a platform that integrates business and financial strategies into the Software Development Life Cycle (SDLC). It provides insights into engineering efforts, helping businesses improve planning and decision-making while identifying bottlenecks to enhance operational efficiency. The platform also tracks deliverable progress and focuses on team health by combining quantitative data with qualitative feedback. Jellyfish aims to improve the effectiveness of engineering teams, ensuring they can deliver value efficiently.

Boston, MassachusettsHeadquarters
2017Year Founded
$114MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees

Risks

Free DevEx product may cannibalize existing paid offerings, affecting revenue.
New managing director could lead to strategic shifts, causing internal disruptions.
Privacy concerns with Jellyfish Benchmarks may affect customer trust and retention.

Differentiation

Jellyfish aligns engineering efforts with business goals, enhancing strategic decision-making.
The platform offers unique insights into engineering data, improving planning and forecasting.
Jellyfish Benchmarks provides comparative performance data, setting it apart in engineering management.

Upsides

Increased demand for aligning engineering with business objectives boosts Jellyfish's market potential.
Availability on AWS Marketplace simplifies procurement, expanding Jellyfish's customer reach.
Free Developer Experience product enhances team health, attracting more users to the platform.

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