Product Marketing Analyst (Walking) $$$$
About project
Walking is a fitness app that helps users lose weight and get fit through the simplest activity β walking. The app offers personalized walking plans, step tracking, and progress insights to keep users motivated and consistent. By turning walking into a workout, Walking makes it easy to burn calories, improve endurance, and stay active without complicated workout routines.
Responsibilities
- Engaging with key stakeholders (product managers, marketers) to identify needs and shape the analytics strategy.
- Prioritizing tasks based on business value and potential impact, balancing urgent requests with long-term strategic initiatives.
- Building and maintaining dashboards, reports, and key metrics to support data-driven decision-making.
- Designing, running, and analyzing A/B tests to validate hypotheses, measure the impact of product changes, and drive continuous improvement.
- Collecting requirements and maintaining the event logging template to ensure accurate and comprehensive tracking of user interactions and key product events.
- Ensuring data quality, uncovering insights, and providing actionable recommendations to improve the product and marketing performance.
Requirements
- 2+ years of experience in a similar analytics role.
- Advanced SQL proficiency for querying and analyzing large datasets.
- Solid understanding of statistics, including experiment design, statistical tests, correlation analysis, and segmentation.
- Hands-on experience with BI tools such as Tableau or Power BI.
- Ability to effectively communicate insights, presenting analysis results clearly and compellingly.
- Experience in full-cycle product analytics β owning both product and marketing analytics, independently prioritizing analytical tasks, and driving data-informed decisions.
Would be a plus
- Python skills (pandas, data visualization, statistics) for data manipulation and analysis.
- Experience with subscription monetization products β understanding key metrics, user retention, churn analysis, and revenue optimization strategies.
- Basic knowledge of Data Science β familiarity with machine learning concepts, predictive modeling, or clustering techniques
Personal qualities
- Proactive and independent β taking ownership of analytics, driving initiatives, and making data-driven decisions without constant supervision.
- Excellent communication skills β clearly conveying insights, justifying decisions, and collaborating with stakeholders across teams.
- Attention to detail β ensuring accuracy in data analysis, reporting, and experiment evaluation.
- Business-oriented thinking β understanding how analytics impacts product growth, user experience, and revenue.
Mastery of the following technologies/tools the team uses:
- Tableau
- SQL
- Redshift
- Python
- Git
Employee Benefits:
- Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs.
- Π‘oworking Compensation: We provide 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace.
- Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year.
- 100% Sick Leave Compensation
- Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs.
- Personal Equipment Policy: Of course, weβll provide you with all the equipment you need or cover the maintenance cost for your own tools.
- Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. Weβll also pay for 100% of corporate English courses.
- Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart.
- Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.
Required domain experience
| SaaS | 2 years |
| Healthcare / MedTech | 2 years |
Required languages
| English | B2 - Upper Intermediate |
| Ukrainian | B2 - Upper Intermediate |
SQL, Python, Power BI, Tableau, MS SQL, AWS
π
$2000-3000
Average salary range of similar jobs in
analytics β
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