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Senior Data Analyst

77% Flex
EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Minimum 5 years of Data/Business Analytics/Sales Operations/Consulting experience, Experience with SQL, spreadsheets, sales business, and CRM tools.

Key responsabilities:

  • Improve sales performance with data insights and operational strategies
  • Lead the development of pre and post-sales intelligence
Make logo
Make Information Technology & Services SME https://make.com/
51 - 200 Employees
See more Make offers

Job description

Logo Jobgether

Your missions

Make is the leading visual platform for anyone to design, build, and automate anything—from tasks and workflows to apps and systems—without the need for coding skills. We are headquartered in the flourishing tech hub of Prague, Czech Republic, and our teams are spread across the USA, UK, Germany, France, Canada, India and Chile, among other locations.

We are seeking a highly motivated Senior Analyst with focus on Sales Analytics to join our team. The successful candidate will continue to build our data-driven approach to Go To Market & Sales through efforts including: clear, insightful reporting, proactive identification of new opportunities, and closely monitoring and evaluating performance. The role requires:

  • strong analytical skills, including experience with SQL and spreadsheets, 
  • a good understanding of the sales business,
  • and working closely with the Go To Market team to interpret and communicate data in meaningful, actionable ways.

Responsibilities:

Use data and insights to improve sales performance and provide greater clarity and understanding of the performance of the sales process. This will likely include:

  • Lead overall development of pre-sales and post-sales intelligence, containing dashboards, reports and insights.
  • Proactively interpret data to provide insights and identify areas for improvement
  • Provide data and ad-hoc analyses to the sales team and management as needed
  • Work with our Management on the creation of a data-driven Sales Strategy and Vision
  • Contribute to creating revenue plans including headcount and pipeline plans 
  • Cooperate with our Go To Market Operations team in facilitating and driving regular cadencies (reviews of Pipeline, QBRs, Targets etc.) as well as improving overall sales funnel intelligence
  • Work with cross-functional teams to identify areas for improvement and drive critical thinking to challenge the status quo
  • Work with our Data Engineering team to connect different sales touch points with our product data 

 

What we are looking for:

  • Minimum 5 years of experience in Data / Business Analytics / Sales Operations / Consulting
  • Excellent in English language
  • A proactive approach and genuine curiosity to understand and share what the data means.
  • Ability to work in collaboration with others across the business to turn data to insights to drive action
  • Strong understanding of Sales, Customer Success, and Go-To-Market processes and metrics (i.e ARR, Churn, ACV, Revenue and Pipeline Conversion Rates, etc)
  • Understanding of the typical SaaS customer lifecycle journey from acquisition to retention and expansion
  • Good technical skills and experience, comfortable with spreadsheet analysis, SQL code, and building dashboards.
  • Experience with CRM tools and their Databases (like Salesforce, SAP or Pipedrive) and Customer care tools (like  FreshDesk, Custify etc.)
  • Eager to use new technologies, tackle new challenges, flourish in a fast-paced environment and contribute to our data-driven culture.  

What we offer:

  • 📈 RSUs grant in a rapidly growing company raising its value every day
  • 💸 Annual bonus
  • 🌎 Multinational team with 42 nationalities creating the future of automation
  • 🎓 Learning & Development plan (online language, professional courses, conference tickets and other trainings)
  • 🍎 Notebook/Macbook and 34’’ curved monitor
  • 🏝 25 days of vacation, 4 sick days
  • 🫶 10 care days to care for your loved ones
  • 👨‍👩‍👧‍👦 Extra parental vacation (3-6 months) 
  • 👶 RSUs grant for a newborn child
  • ☂️ Life insurance
  • 🏋️ Multisport card
  • 💰 Remote working allowance
  • 🍍 Snack bar, coffee, tea, fruit and vegetable, and sweets all day - every day - available for everyone
  • 🥗 Monday breakfast, Wednesday lunch, and Friday break, with company-provided food and drinks, with music and lively discussion
  • 🏡 Flexible working hours + home office 
  • 🐕‍🦺 Company therapy pets (dog-friendly office)

Join us on the ride!

#careeratmake

What we stand for:

🤝 We roll together - We embrace different ideas to grow together and create powerful solutions. 

🚀 Customer impact first - We empower our customers to succeed, aiming for sustainable impact.

Game on! - We're explorers at heart: play is our fuel and creativity has no limits. 

For more, feel free to check out our Life at Make Instagram, Meet-up page, or YouTube to get a sense of the vibe.

Find us on Glassdoor.

Make is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment and equal opportunity in all aspects of employment. We will not tolerate any unlawful discrimination or harassment of any kind. We make all employment decisions without regard to race/ethnicity, color, sex, pregnancy, age, sexual orientation, gender identity or expression, transgender status, national origin, citizenship status, religion, physical or mental disability, veteran status, or any other factor protected by applicable anti-discrimination laws.  As a US federal contractor, we are committed to the principles of affirmative action in accordance with applicable laws and regulations.  Different makes us better.

Accessibility and Candidate Notices

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • spreadsheets
  • Proactivity
  • analytical-skills
  • Curiosity

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