Analytics Engineer

  • Job types information is not available.
  • Germany

Analytics Engineer

podium81


At Podium, our mission is to help local businesses win. Our lead conversion platform, powered by AI and integrations, helps local businesses convert leads faster, communicate easier, and make more sales. Every day, thousands of local businesses utilize our review management, communication, marketing, and payments products. 

Our work and focus on helping local businesses thrive has been recognized across the industry, including Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies.

At Podium, we believe in fostering a culture that thrives on hiring and developing exceptional talent. Our operating principles serve as a compass, guiding daily behavior and decision-making, and ensure we hire people who will thrive at Podium. If you resonate with our operating principles and are energized by our mission, Podium will be a great place for you!


The Role

As an Analytics Engineer at Podium, you will help to deepen our understanding of Finance and Billing data at Podium, enabling multiple teams with access to critical data. You will be responsible for the infrastructure that supports all analytics projects, dashboards, reports, and models. Your direct stakeholders will be our internal Revenue Operations and Data Science team as well as the Finance and Accounting teams. You will work closely with talented Data Analysts, Data Engineers, and Data Scientists. The core responsibility requires you to create new data pipelines using SQL and dbt. This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and excited about coding and modeling as you are about mentoring, training, and empowering a team of Analysts and Data Scientists.

Responsibilities:

  • Design and implement a semantic data warehouse layer on top of our datalake using Snowflake and dbt
  • Architect data models through SQL
  • Write documentation for best practices and to record Podium’s data
  • Follow best practices around version control and mentor Data Analysts and Data Scientists on version control

You’re background:

  • 3+ years of work experience SQL and experience with multiple flavors, Snowflake preferred
  • 2+ years of work experience using Git for version control
  • Exposure to Financial data and familiarity with key metrics such as MRR and churn
  • Experience using dbt and Snowflake is desirable
  • Strong drive to organize and document data in a reproducible manner
  • Ability to understand the business logic for structuring data in a given way while also understanding and overcoming the technical limitations and challenges of implementing the desired data structure
  • Eagerness to work on development of internal tools, systems, packages, process, and documentation
  • You have a proven record of providing analyses that have tangible impact on the business
  • Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics
  • You are committed to honesty and a diverse and inclusive workplace


Benefits

  • Open and transparent culture 
  • Life insurance, long and short-term disability coverage
  • Paid maternity and paternity leave
  • Fertility Benefits
  • Generous vacation time, plus three 4-day summer holiday weekends
  • Excellent medical, dental, and vision benefits
  • 401k Plan with competitive company matching
  • Bi-annual swag drops with cool Podium gear and apparel 
  • A stellar HQ (Utah) gym with local professional coaches and classes offered
  • Onsite HQ (Utah) child care center, subsidized for employees
  • Additional benefits for fully remote employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Source
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