Data Science Jr

Summary

Join Raven, a unique consulting, creative, and technology firm, as a Data Analyst/Scientist. You will contribute to the growth of our analytics capabilities, working on data-related projects and helping clients become data-driven organizations. Responsibilities include developing and executing data analysis strategies, applying predictive analytics and machine learning, and collaborating with marketing and UX teams. You will present insights to stakeholders and contribute to client proposals. We offer a supportive work environment with a focus on work-life balance and professional development. We are currently developing new rewards for 2025 and offer unique benefits such as USD salary options, birthday afternoons off, moving day support, referral bonuses, and remote work options.

Requirements

• Have a degree in Business Administration, Economics, Industrial Engineering, Marketing, or Communication (Masters is a plus)
• Be a digital and technology enthusiast
• Be energetic, autonomous and rigorous
• Possess strong knowledge of basics of statistics, predictive analytics, and machine learning
• Be proficient with data visualization tools and techniques
• Have experience in at least one of these tools: Python, R, SAS, and/or SQL
• Be able to interpret and communicate data-driven insights to non-technical stakeholders
• Possess excellent problem-solving and critical thinking skills
• Be able to work independently and collaboratively in a fast-paced environment
• Have strong attention to detail and ability to manage multiple projects simultaneously
• Be able to build successful relationships with clients and stakeholders
• Have mastery of problem solving and solutioning
• Have 0-2 years of experience working in Data Analytics
• Understand the methodology and process of creating statistical models (e.g., Propensity, Segmentation, Decision tree, LTV)
• Possess verbal/written communication skills and data presentation skills and business proposals

Responsibilities

• Develop and execute strategies to analyze large datasets and uncover actionable insights
• Apply predictive analytics and machine learning to identify trends in customer behavior and optimize marketing initiatives
• Analyze customer data to identify potential segments and create targeted campaigns
• Help developing and implementing customer segmentation strategies to improve customer retention
• Collaborate with the Marketing and UX teams to develop data-driven strategies for optimizing the customer experience
• Help developing processes for collecting and analyzing customer feedback
• Help developing tools for monitoring customer engagement and performance metrics
• Present insights and recommendations to the stakeholders
• Be involved in developing proposals and strategies to address challenges and opportunities for our clients, from the perspective of data use
• Advice on advanced analytical and quantitative tools and modeling techniques to obtain business insights, solve complex business problems and improve decisions

Preferred Qualifications

• Have experience in the use of Cloud technologies, for example, AWS, GCP, or Azure
• Have previous consulting experience

Benefits

• New rewards tailored to the market for 2025 (in development)
• Salary can be paid in USD
• Afternoon off on your birthday
• Support for moving into a new home
• Referral bonuses for recommending suitable candidates
• Remote work option within your country