Welcome to Anna's freelance profile!
This freelancer is available part-time (4 days per week) but hasn't confirmed their availability in over 7 days.
Part-time, 4 days per week
Location and workplace preferences
- Location
- Amsterdam, The Netherlands
- Remote only
- Primarily works remotely
Preferences
- Project length
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- Between 1-3 months
- Between 3-6 months
- Business sector
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- Digital & IT
- E-commerce
- Education & E-learning
- Tech
- Travel & Tourism
- Company size
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- 11 - 49 people
- 50 - 249 people
Verifications
Freelancer code of conduct signed
Read the Malt code of conduct
Reputation
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Languages
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English
Fluent
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Spanish
Fluent
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Russian
Native or bilingual
Categories
Skills (21)
- Databases
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
- Data Science
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Beginner Intermediate Advanced
- All
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
Anna in a few words
I’m Anna, and I help companies navigate the messy landscape of data and product analytics!
In the past 5+ years, I’ve worked for a number of digital startups and scaleups as one of the first joiners of the data department. This gave me a lot of exposure to a wide range of problems, from defining activation for a B2B SaaS product to choosing the right data infrastructure for a B2C online learning platform.
I have helped product, marketing, and strategy teams to frame their business questions to be answered with data, translated these into clear requirements for engineering teams, and as a result provided the necessary visibility on how the business is doing through clear metrics and data-driven frameworks for decision making.
I am passionate about education and I love to explain complex concepts in an easy-to-understand way. I will avoid throwing meaningless data lingo your way just to make myself look smart. I also stick to a “no BS” approach in my work: my main driver is to set you up for success, not to build you a Tesla when all you need is a bicycle right now. And I definitely like to approach any challenges with a can-do attitude and a nerdy joke.
In the past 5+ years, I’ve worked for a number of digital startups and scaleups as one of the first joiners of the data department. This gave me a lot of exposure to a wide range of problems, from defining activation for a B2B SaaS product to choosing the right data infrastructure for a B2C online learning platform.
I have helped product, marketing, and strategy teams to frame their business questions to be answered with data, translated these into clear requirements for engineering teams, and as a result provided the necessary visibility on how the business is doing through clear metrics and data-driven frameworks for decision making.
I am passionate about education and I love to explain complex concepts in an easy-to-understand way. I will avoid throwing meaningless data lingo your way just to make myself look smart. I also stick to a “no BS” approach in my work: my main driver is to set you up for success, not to build you a Tesla when all you need is a bicycle right now. And I definitely like to approach any challenges with a can-do attitude and a nerdy joke.
Experience
Notabene
Tech
Product Data Analytics Consultant - As a freelancer
- Carried out an in-depth audit of existing metrics consistency and accuracy and provided actionable recommendations
- Created data infrastructure proposal to move faster in the short-term and scale better in the mid-term
- Facilitated brainstorming sessions with the business stakeholders (product, strategy, design, operations) to define questions to be answered with data
- Put in place a tracking plan for the engineering team to implement missing events and establish a standardized naming convention
- Defined business and product metrics, visualized them through interactive dashboards
- Created data infrastructure proposal to move faster in the short-term and scale better in the mid-term
- Facilitated brainstorming sessions with the business stakeholders (product, strategy, design, operations) to define questions to be answered with data
- Put in place a tracking plan for the engineering team to implement missing events and establish a standardized naming convention
- Defined business and product metrics, visualized them through interactive dashboards
SuperDataScience
Education & E-learning
Senior Data Analyst - As a freelancer
- Established scalable data infrastructure that permitted automated reporting with up-to-date data
- Created tracking plan and managed the implementation of Segment event tracking by the engineering team
- Defined growth funnel and created a self-serve calculator helping marketing & product assess the projected impact of their initiatives on the bottom line
- Designed experiments, defined success metrics, and assessed the expected and actual impact of product & growth initiatives (A/B testing)
- Fostered data-driven company culture by providing training, sharing exploratory analysis insights, and enabling decision-makers to access the necessary data
- Created tracking plan and managed the implementation of Segment event tracking by the engineering team
- Defined growth funnel and created a self-serve calculator helping marketing & product assess the projected impact of their initiatives on the bottom line
- Designed experiments, defined success metrics, and assessed the expected and actual impact of product & growth initiatives (A/B testing)
- Fostered data-driven company culture by providing training, sharing exploratory analysis insights, and enabling decision-makers to access the necessary data
TravelPerk
Travel & Tourism
Data Analyst
- Led analytical projects within product and growth teams (multi-touch attribution, definition of activation and Product Qualified Lead, activity-based customer segmentation)
- Designed and implemented actionable metrics, dashboards, and reports (Looker, Amplitude)
- Created data models in Redshift and Looker
- Defined tracking to measure new feature adoption
- Designed and implemented actionable metrics, dashboards, and reports (Looker, Amplitude)
- Created data models in Redshift and Looker
- Defined tracking to measure new feature adoption
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Education
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Master in International Management
ESADE Business School
2014