Overview

Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to make PR pros more successful by providing them with technology to find journalists to pitch, monitor media, quantify their impact and work more efficiently with their teams.

Self-funded, globally distributed, and growing quickly, Crain’s named Muck Rack one of the best places to work in 2019, 2020, and 2021! We value resilience, transparency, ownership, and customer devotion and infuse these values into everything we do.

As our first Analytics Engineer, you will build a data and analytics foundation to provide impactful metrics and data-driven insight across the organization. We already have the beginnings of a solid data stack on top of Snowflake, DBT, Heap and Tableau. You will have the opportunity to bring the data stack to the next level and define the processes and operations that power a data team. You will define key metrics, develop dashboards for stakeholders and own the data stack and pipelines to empower the team to make informed decisions.

What you’ll do:

  • Partner with other teams to define and build dashboards, reports and analyses that drive impactful business decisions
  • Own the data stack and architecture including Snowflake, dbt, Tableau among other tools
  • Build and maintain scalable ETL pipelines across our various systems and applications, collaborating with our Engineering team when necessary

How success will be measured in this role:

  • All data is centralized and connected
  • An Internal NPS Score

If the details below describe you, you could be a great fit for this role:

  • 3+ years of experience in Analytics Engineering, Business Intelligence, Data Engineering, or Data Analytics managing large data sets across a range of sources
  • Strong SQL and data modeling skills, with experience applying skills to thoughtfully create data models in a warehouse environment
  • Excellent business acumen, with the ability to contextualize information and translate business issues into data models
  • Direct experience implementing and managing the modern data stack (i.e. dbt, Snowflake) and ETL pipelines
  • Strong data visualization skills, with the ability to translate data and its meaning to all stakeholders; Tableau experience preferred
  • Curious problem solver who can find creative solutions to business and data problems
  • Entrepreneurial, self-starter who can build data foundation
  • Excellent communicator with track record of strong collaboration across teams to drive data-driven decision making
  • Quantitatively rigorous

Benefits of Working at Muck Rack

  • Fully distributed team, with work-from-home benefits and monthly co-working stipend
  • Competitive salaries and company-wide bonus plan
  • Generous off-the-grid PTO, including paid parental leave, paid sick/mental health days, learning days, summer Fridays, and more
  • Health, dental and vision insurance (100% paid by employer for individuals; 70% paid by employer for families)
  • 401(k) plan with employer contributions
  • Access to OneMedical, 24/7 Virtual Care, an Employee Assistance Program, and a Flexible Spending Account
  • Discounted gym & bike memberships and free Headspace account
  • Unlimited subscription to Learning & Development platforms
  • Virtual & in-person team bonding opportunities including free lunches, activities, & events
  • Inclusive culture that listens to and welcomes diverse perspectives
  • Self funded means we have the freedom to build forward-thinking products and put our customers first

We deliberately encourage individuals from all backgrounds, including race, gender identity, sexual orientation, disability status, and from all parts of the United States and Canada to apply for positions. We are an equal opportunity employer and we’re committed to a fair and consistent interview process and employer experience.

NOTE: Today, we can not hire employees in Arkansas, California, Colorado, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nebraska, Nevada, New Mexico, North Dakota, South Carolina, Wisconsin, or Wyoming.

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