Data Analyst | Mid-Senior | Saily

17.6k - 25.1k PLN17 600 - 25 100 PLN/ mies./ mies.

MidZdalnie·WarszawaFull-time

#477083·Dodano wczoraj·4

Źródło: Nord Security

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Tech Stack / Keywords

SQL PythonGoogle BigQuerypandas scikit-learnLookerTableauPower BIGoogle AnalyticsA/B tests

Podsumowanie oferty

As a Data Analyst for Saily, you’ll turn customer and product data for its mobile data plans into business insights. You’ll support product and marketing teams with analysis using SQL, Python, and data visualization tools.

Wymagania

3+ years of experience as a Data Analyst, including hands-on experience applying machine learning to customer data, such as churn or propensity prediction, model-based segmentation, or LTV forecasting.
Experience in customer analysis, preferably including lifecycle, retention, cohort, churn, and LTV analysis.
Experience building and evaluating rule-based and model-based customer segmentations, such as clustering, and turning insights into recommendations for Product and Marketing teams.
Experience designing and analyzing experiments and A/B tests, including sample size calculation, significance testing, and translating results into recommendations.
Solid SQL skills; Google BigQuery is an advantage.
Experience using Python for modelling, such as with pandas and scikit-learn or similar.
Strong statistical foundation, including regression, hypothesis testing, and time series analysis.
Experience with data visualization tools such as Looker, Tableau, or Power BI, or equivalent, and ability to present insights clearly to non-technical stakeholders.
Independent and proactive working style, ownership, ability to find information independently, and comfort with ambiguity and frequent product changes.

Nice to have:

Experience with Google Analytics.
Background in e-commerce, SaaS, telecommunications, or digital marketing.
Experience in a startup or fast-paced product environment.

Obowiązki

Define, track, and optimize key metrics and KPIs for product and marketing teams.
Analyze users and products to identify business opportunities and areas for improvement.
Develop and maintain automated reports and dashboards on customer behavior and product performance.
Analyze customer cohorts, segmentation strategies, and touchpoints to identify growth and optimization opportunities.
Build, support, and replicate data structures, including database structures, tables, reporting, data visualization, regression analysis, and time series.
Present data-driven insights to cross-functional stakeholders.
Support the development and maintenance of scalable analysis, including user segmentation, attribution modeling, and funnel analysis.

Benefity

Training, mentorship, and room to grow.
Extra vacation days, sick days, and time off when needed.
Fully covered private health insurance in Lithuania and Poland.
Free subscriptions to Calm, Headspace, and Mindletic, plus resilience and mindfulness training.
In-house gyms, sport cards, online workouts, and personal guidance.
A company-wide workation trip abroad.
Gifts for birthdays, weddings, and new family members.
Children’s summer camps and flexibility around the schedule for parents.
Team-building activities and company events.
Access to the Vilnius HQ’s coffee bar, open gyms, kids’ room, music room, and massage chairs.

Płatny urlop

Opieka zdrowotna

Ubezpieczenie

Szkolenia wewnętrzne

Karta sportowa

Elastyczne godziny

Spotkania integracyjne

Inne informacje

Recruitment process: 45-minute Talent Partner interview, a test task requiring several hours of work with a one-week deadline, a 60-minute technical interview, and a final interview lasting 45–60 minutes.

Nord Security

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