Global Sr. Marketing BI Analyst

  • Berlin, Germany
  • Employees can work remotely
  • Full-time

Company Description

DocPlanner builds practice management software for the healthcare sector in SaaS model. We help 130,000 doctors and clinics digitalise their practices and deliver an exceptional patient experience. We also run marketplace websites that allow 80 million patients monthly to easily find the right doctor and book an appointment.

Our mission is to “make the healthcare experience more human”.

DocPlanner was founded in 2012 in Poland. Our team today numbers over 2,200 people based in offices in 7 countries: Poland, Spain, Germany, Turkey, Italy, Mexico and Brazil. We are backed by awesome and leading venture capital funds including Point Nine Capital, Goldman Sachs Asset Management and One Peak Partners from whom we’ve raised a total of €300 million to date.

“Culture eats strategy for breakfast” - Peter Drucker. We believe in that. If so do you - come along!

Job Description

The Sr. Marketing BI Analyst will be responsible to develop world-class marketing analytics that power the marketing team to make informed, insight driven decisions. They will partner with our data engineers, product data and business intelligence teams to create the foundational data structure that allows marketing data to flow and integrate with business data in our systems and BI tools. Their objective is to equip our analyst and marketing teams to focus on analysis that leads to insight and impactful action and not be bogged down with data gathering and organization. They are also responsible to build and champion the framework and methodology for efficient marketing data analysis.

 

You Will:

  • Understand common challenges in data structures and strategies to build data products that are stable, scalable, and performant

  • Lead data quality issue analysis and resolution action plans and governance

  • Work collaboratively and develop relationships with Marketing stakeholder groups to understand business objective and build data solutions that meet these needs

  • Provides thought leadership for complex problems requiring a data science approach

  • Build scalable dashboards for key marketing KPIs, budget and ROI analysis

  • Drive insight generation and explain the impact of these insights to key business stakeholders.

  • Receive and conduct ad-hoc data analysis and reporting requests that require data blending from multiple data sources

  • Structure and present analyses to executives and other key stakeholders

Qualifications

  • Degree in statistics, data science, business analytics, marketing analytics, or related field

  • Minimum 4-6 years of experience in marketing and sales analytics.

  • Track record of delivering increased marketing effectiveness with measurable return on investment (ROI) and sales conversion and revenue improvements.

  • Advanced analytics capabilities using statistical and business intelligence tools (SQL, Python, Tableau/Power BI/Qlick Sense, Google Data Studio, Excel prefered)

  • Experience with data pipeline and warehouse tools 

  • Experience translating technical terms and explaining complex analysis to business stakeholders

  • Experience working with B2B sales motion. (Account-based marketing experience is a bonus.)

  • Deep knowledge of marketing data. Experience with analyzing data from Hubspot and Salesforce is particularly desired. 

  • Proven ability to manage multiple, competing priorities simultaneously

  • Positive can-do attitude with strong initiative and follow through

  • Insatiable appetite to learn and grow

  • Strong level of business English with proficiency in one or more of Spanish, Polish, Brazilian Portuguese, German, or Italian a plus.

Additional Information

You will get in return:

  • 💶 Competitive salary adequate to your experience and skills
  • ✌ Off days package.
  • 🎉 Additional paid holiday on your birthday/work-anniversary to celebrate with your loved ones or to have a self-care day!
  • 📈 Share options plan after 6 months working with us.
  • ✈️ Relocation package (from a different city or country).
  • 🇬🇧 Free English classes.
  •  Flexible working hours (plot twist: this is true).
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