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Solution for secure e-mail/chat/file transfer/+ to prevent data leaks

Data Analyst - Marketing & Sales

€30k – €50k • No equity
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Job description

The marketing department at ZIVVER is not the usual one, we are part of a company that is growing in breakneck speed, so there is never a dull moment with us. Are you ready to delete the word repetition out of your vocabulary? Look no further!

The Marketing and Sales Data Analyst is at the core of everything we do in Marketing and Sales. Based on your deep analysis, understanding of customer behavior, trends and insights you form the basis of future decisions. This is one of the most important and crucial roles in the Marketing team. It encompasses building fully transparent marketing funnels and reports, doing statistical analysis to find behavioural trends and helping the team to be more data-driven in everything they do, from Facebook campaigns to cold-calls to industry events. An awesome role in an awesome company.

Hot take

- ROI is king.
- People who 'want to do more with AI' make you itch.
- Value delivered over technical novelty.

A day at ZIVVER

You walk into the office with a crystal clear picture of what you want to get done today. You combine driving structural improvements in data infrastructure and analysis with serving the ongoing data needs of marketing and sales and need great focus to balance the two.

You start off by responding to comments from the data team on your merge request. You are working on connecting web traffic data to data on sales opportunities in the data warehouse to better analyze the return on marketing spend. Having handled the comments, you join the data team stand-up and talk the team through your progress and your plan for the day.

Next, you check in with the marketing team to report on your findings about a recent LinkedIn campaign that we ran. You recommend that we keep producing content on this topic, but try to more specifically target information security officers. The VP marketing mentions that a similar campaign was done a few months ago and asks you to confirm this by looking into which of leads generated by that campaign were actually converted to closed deals.

While you are at this, one of your sales colleagues stops by to ask about a lead qualification model that you recently released. Explaining is your thing: in less than 10 minutes the salesperson knows exactly which of his leads are hot and sprints back to his desk to start calling.

Near the end of the day, you are done with the campaign analysis and can confirm that focusing on information security officers seems to give the best return. You see that your changes to the data warehouse have been accepted and released. You go home satisfied, knowing that you helped the sales and marketing teams determine what to do and that because of your work on infrastructure, you can do this even better tomorrow.

Responsibility

Meeting the short- and long term data needs of the marketing and sales
teams, by:
- Defining and prioritising data solutions (one-off analyses, dashboards,
models, data infrastructure) to build.
- Giving engineers input on infrastructure requirements for exposing useful
data.
- Building data solutions to convert exposed data to actionable insights.
- Driving the basing of actions on insights through education and
evangelization.

Benefits

- Ownership: you own data for sales and marketing. You will be instrumental in
making our most important business area much more effective;
- An exciting, fast-growing, energetic environment;
- Flexible working hours;
- A pension plan;
- Free lunch;
- Great office and awesome people with different nationalities;
- At least €1.000,- per year on personal development budget.

Requirements

* Skills / Experience
- 3-5 years experience with data analysis in a fast growth organisation.
- Technical background (physics, computer science, econometrics, etc.).
- Proven ability to define and prioritize projects based on business value.
- SQL knowledge and experience.
- Experience with analyzing data...
> for B2B marketing purposes.
> for related commercial areas, such as B2B software sales and customer
success.
> using HubSpot, Google Analytics or Salesforce.
- Knowledge of Python, R or another scripting language.

* Attitude / Personality
- Pragmatic: business value over tinkering.
- Curious: willing and able to learn fast.
- Open to feedback.
- Humble: make other teams successful.
- Proactive: drive business value
image

A pension plan

Generous vacation

Free lunch

A personal development budget

Company events

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