Data Analyst/Scientist for DTC Subscription-Based Business für Wiendorf gesucht
Arbeits- und Stellenangebot im Regiobizz Arbeitsmarkt
Job Kategorie: Sonstige Branchen Sonstige Tätigkeitsbereiche
Stellenangebot Basisdaten
- Arbeitsort:
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AT 9314 Wiendorf
- Umkreis:
-
keine Angabe.
- Art der Arbeitsstelle:
-
- Letze Aktualisierung:
-
20.09.20242024-09-20
Stellenausschreibung: Data Analyst/Scientist for DTC Subscription-Based Business
- Arbeitgeber bzw.
Arbeitsvermittler
-
Playbrush Gmbh in Hamburg
- Branche
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Sonstige Branchen
- Kategorie
-
Sonstige Tätigkeitsbereiche
- Stellenbeschreibung
- Einleitung About SUNSTAR SUNSTAR Group is a global leader in oral
care, health, and beauty, providing research-driven products across 90
countries for over 80 years. The company partners with professionals
and scientists to advance health and well-being worldwide. SUNSTAR's
product lines, including GUM® and BUTLER®, are dedicated to
preventive and therapeutic care. Guided by the mission to "help people
achieve better health and enhance their quality of life," SUNSTAR
remains committed to innovation and research. This commitment fuels
the development of diverse products and services aimed at supporting
consumer well-being. About Playbrush Playbrush, an innovator in Oral
Care since 2015, has transformed the industry with smart toothbrushes
and service subscriptions. These interactive tools connect to
smartphones, making toothbrushing an engaging educational experience
for children and offering performance feedback for adults. Acquired by
SUNSTAR in 2021, Playbrush products were integrated into the GUM brand
family in 2023, combining GUM’s health expertise with Playbrush’s
intelligent software solutions. Playbrush Austria also serves as the
Direct-To-Consumer hub for the Sunstar Europe Group Aufgaben Job
Mission: To harness the power of data to drive strategic decisions and
optimize customer experiences, thereby maximizing revenue and growth
for a subscription-based DTC company. This role is pivotal in
transforming data into actionable insights that directly influence
business outcomes. Responsibilities: Data Mining & Analysis : Extract,
clean, and analyze data from various databases and tools to support
data-driven business decisions. This is done to uncover trends,
patterns, and insights that can be leveraged to optimize operations
and strategy. Data Source Assessment : Evaluate the effectiveness and
accuracy of data sources and the data collection process, ensuring
high-quality and reliable data for analysis and decision-making. Data
Standardization : Lead initiatives to standardize data analysis
practices across the company, ensuring consistency and reliability in
data interpretation and reporting. Custom Model Development : Develop
and implement custom data models and algorithms tailored to the
company’s needs, applying them to data sets to derive actionable
business insights. Performance Monitoring : Develop processes and
tools to continuously analyze model performance and data accuracy,
making necessary adjustments to improve effectiveness. Predictive
Modeling : Utilize predictive modeling techniques to enhance and
optimize customer experiences, revenue generation, ad targeting, and
other critical business outcomes. Reporting & Communication :
Regularly prepare and present comprehensive reports on data findings,
model performance, and actionable insights to stakeholders at all
levels, ensuring that data-driven decisions are aligned with business
objectives. Stakeholder Collaboration : Work closely with stakeholders
across the organization to identify and seize opportunities for using
data to drive commercial solutions, enhancing the overall business
strategy. Cross-Functional Implementation : Coordinate with various
teams to deploy data models, monitoring their performance and outcomes
to ensure alignment with business goals. Process Improvement :
Identify opportunities to improve data-related processes and implement
tools that enhance data analysis and model accuracy, driving
continuous improvement in data operations. Qualifikation Essential:
University degree in Mathematics, Computer Science, Statistics, or a
related quantitative field. Desirable: Advanced degree (Master’s or
Ph.D.) in a relevant discipline. Languages: Proficiency in English is
essential; knowledge of additional languages is advantageous.
Essential: 3-7 years of experience in manipulating large data sets and
building statistical models. Desirable: Experience within a
subscription-based DTC company or e-commerce environment. Technical
Skills: Proficiency in statistical computer languages such as Python,
SQL, R, etc., with a strong background in data architecture and
advanced statistical techniques (e.g., regression, distribution
properties, statistical tests). Benefits Competitive salary and
performance-based bonuses. Professional development opportunities. A
collaborative and innovative work environment with an open, kind and
proactive atmosphere. Noch ein paar Worte zum Schluss Looking forward
to your application
- Qualifikation
- Arbeitskräfte
- Verdienst:
- n.a.
- Bewerbung an
- Playbrush Gmbh
Dammtorstraße 30
De 20354 Hamburg
Email: info@new-work.se
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