[Remote] Staff Data Analyst at Jellyfish

United States

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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

Key technologies and capabilities for this role

SQLdbtDatabricksdata analysisdata pipelinesexperimentationdata storytellingLake HouseAImetrics definitiontransformation

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is fully remote.

What technical skills are required for this role?

The role requires strong knowledge of SQL (preferably Databricks, Snowflake, or Redshift), experience with data quality best practices and building data models in dbt, and experience using Python (numpy, pandas, sklearn, etc.) for exploratory data analysis or predictive modeling.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the company culture like for this team?

You'll be part of a highly talented team working in a fun, challenging, and collaborative environment, building a fast-growing business led by experienced entrepreneurs and backed by top-tier investment partners, with the ability to thrive in a fast-paced, constantly improving, start-up environment.

What makes a strong candidate for this Staff Data Analyst role?

A strong candidate has proven leadership and a track record of shipping improvements with product or GTM teams, the proven ability to influence senior decision-makers with data-driven insights, and strong perspectives on using the appropriate data solution for business needs and scaling analytics for both technical and non-technical users.

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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