Senior Data Analyst
Berlin
Applications have closed
NewStore
NewStore offers a Unified Commerce Platform for global retail brands that want to accelerate their digital transformation.
We are a leading Omnichannel SaaS platform revolutionizing the retail landscape with our innovative solutions. As we continue to expand our offerings and empower businesses to thrive in the digital era, we are seeking a talented and experienced Senior Data Analyst / Omnichannel Insights Specialist to join our dynamic team. This role presents a unique opportunity to drive data-driven decision-making both internally and externally, leveraging advanced analytics to unlock insights that drive growth, optimize operations, and enhance the omnichannel customer experience.
Roles & Responsibilities:
- Lead advanced analytics initiatives, leveraging retail data to uncover actionable insights for process optimization, revenue growth, and customer engagement across omnichannel touchpoints.
- Mentor team members across the business and collaborate with cross-functional teams to implement data-driven strategies that align with business objectives.
- Drive the development of sophisticated predictive models and algorithms to forecast sales, inventory demand, and customer behavior, enabling proactive decision-making.
- Lead the analysis of customer journey data to uncover insights that drive product innovation and enhancement, identifying opportunities to optimize the omnichannel experience and anticipate customer needs.
- Develop innovative approaches to segment customers based on their omnichannel interactions and preferences, empowering businesses to personalize marketing and engagement strategies, improve communication effectiveness, and drive customer loyalty.
- Champion the creation of self-service analytics tools for clients, empowering them to derive insights and make data-driven decisions to improve their businesses.
- Ensure that the value proposition of our platform is easily visible to customers through the delivery of clear, actionable insights and the development of intuitive, user-friendly analytics tools,
- Collaborate closely with product development, marketing, customer success and sales teams to ensure alignment of data analytics efforts with business objectives and customer needs.
- Stay updated on the latest trends and best practices in retail analytics and omnichannel strategies, continuously enhancing skills and knowledge to drive innovation and excellence.
- Work directly with customers to visualize omni channel and retail trends and prepare platform trends
Requirements:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field; advanced degree preferred. MBA is a strong plus.
- 5+ years of experience in data analysis, with a focus on retail analytics and omnichannel strategies.
- Proven expertise in advanced data analysis techniques, machine learning algorithms, and statistical modeling.
- Proficiency in programming languages such as Python or R for data manipulation and analysis.
- Experience with data visualization tools and techniques to communicate complex insights effectively.
- Strong understanding of industry-specific metrics, trends, and challenges in the retail and ecommerce sectors.
- Innovative thinking and demonstrated ability to address business challenges from new perspectives.
- Excellent communication and collaboration skills, with the ability to effectively convey insights to both technical and non-technical stakeholders.
- Proven track record of driving innovation and applying emerging technologies and methodologies to solve complex problems.
Perks and Benefits
- Time off is a priority - with a generous PTO policy and a culture that encourages you to take it, you can enjoy some much-needed R&R
- If you're looking to grow your skills and knowledge, we've got you covered. With a personal development budget and a supportive environment that values learning, you can take your career to new heights.
- Plus, with the option to work fully remote, you have the autonomy to create the work environment that works best for you
- The best part? Our "life-friendly" working hours mean you can have it all - a fulfilling career and a happy life
- And that's not all - as a valued team member, you'll have the opportunity to share in our success with employee stock options and a quarterly bonus based on company goals
If you're ready to join a team where you can bring your A-game, let's talk!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science CX Data analysis Data Analytics Data visualization E-commerce Economics Machine Learning Mathematics Python R Statistical modeling Statistics
Perks/benefits: Career development Equity Salary bonus Team events
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