Appfire
SeniorDataAnalyticsEngineer-DataInsights
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“Senior Data Analytics Engineer - Data Insights at Appfire. Skills: Data modeling, DBT, SQL, Python. Understand decision needs. Interface with Analytics Engineers”
What You'll Achieve.
Achieve trusted data view; Achieve accessible data view; Achieve well-defined data view; Scale trust; Scale accountability; Scale decision impact; Power impactful analytic use cases; Enable decisions; Push boundaries of decisions; Evolve ecosystems to scale impact
Industry & Context.
Problem-solving skills; Analytical skills
What They're Looking For.
Must Have
5+ years relevant experience, Expert SQL skills, 3+ years Python experience, 3+ years DBT experience, Understanding data warehousing concepts, Efficient problem-solving skills, Analytical skills, Proven ability to succeed in collaborative environments, Proven ability to succeed in independent work environments, Proven experience managing concurrent complex data projects
Nice to Have
Experience with dbt implementation, Experience owning end to end SDLC, Full ownership of stakeholder management, Proficiency in source code management tools, Experience working with Cloud Technologies, Experience working with semi structured data formats, Experience building data solutions for future scale, 3+ years BI tools development experience, ML analytics engineering experience a plus, Marketing Analytics experience a plus
What You'll Do.
Understand decision needs
Interface with Analytics Engineers
Interface with Data Engineers
Interface with Data Analysts
Interface with Business Partners
Architect data models
Architect data pipelines
Launch data pipelines
Define best practices on metric development
Define best practices on dimension development
Define best practices on data model development
Share best practices on metric development
Share best practices on dimension development
Share best practices on data model development
How You'll Work.
Team & Collaboration
Analytics Engineers; Data Engineers; Data Analysts; Business Partners; Fellow Analytics Engineers; Cross-functional teams
Communication Scope
Explain technical concepts; Non-technical audience
Process & Methodology
SDLC, Stakeholder management, Expectation setting, Prioritization, Development, Delivery
Full Job Description
At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We’re a team of 800+ employees, working remotely across 28 countries. Our flagship products include: Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. Here you can read some of our customer stories: https://appfire.com/resources/resource-library/customer-stories About the role: Appfire is seeking an experienced full-time Senior Analytics Engineer! In this role you will build, define and activate Appfire’s company-wide data asset (Snowflake) from ground up data sources. You will work with stakeholders across Appfire to integrate, test, connect, and build brand new data and metrics within our Snowflake metrics layers, achieving a trusted, accessible and well-defined view of information across the company. Our Analytics Engineers build metric foundations for reporting, analysis and experimentation, pushing the boundaries of decisions across the company under an aligned view of the world. They leverage their expertise in metric development, DBT, data modeling, SQL and Python. Using these skills you will transform data from raw data warehouse into data artifacts powering impactful analytic use cases (e. g. metrics, dashboards, adhoc analysis and self-service solutions) that enable and push the boundaries of decisions across the company. As an Analytics Engineer you will sit at the intersection of business and data, working collaboratively to enable and achieve meaningful outcomes by evolving our ecosystems to scale impact. We’re growing quickly and have a lot to accomplish. What You Will Do: Understand decision needs by interfacing with fellow Analytics Engineers, Data Engineers, Data Analysts and Business Partners Architect, build, and launch efficient & reliable data models and
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