Data Analyst & Scientist driving data strategy for business outcomes in a dynamic data team. Contributing to data-driven decision-making and enhancing business intelligence capabilities.
Responsibilities
Collaborating with cross-functional teams to ensure that project objectives are met in a timely and efficient manner.
Conducting thorough research and analysis to inform decision-making processes and enhance project outcomes.
Developing and maintaining detailed project documentation to track progress and facilitate communication among stakeholders.
Implementing strategies for continuous improvement by identifying opportunities for increased efficiency and effectiveness within current workflows.
Providing regular updates and presentations to management and team members regarding project status and addressing any potential challenges that may arise.
Assisting in the training and mentoring of new employees, thereby fostering a collaborative and supportive work environment.
Design and optimise SQL queries and data flows: Build high-quality prospect lists that drive effective marketing and sales campaigns.
Data Integration and Preparation: Combine, clean, and validate data from multiple sources to ensure cohesive and accurate data sets for analysis and campaign targeting.
Report Generation and Insight Delivery: Develop detailed reports and deliver actionable insights to support marketing, sales, and leadership teams in making informed decisions.
Dashboard and Visualization Building: Create and maintain interactive dashboards and visualizations that effectively communicate insights to various audiences. Build and automate report production for business users.
Data Quality Monitoring: Regularly assess and ensure ongoing accuracy, consistency, and reliability of the data used for campaigns and decision-making processes.
Cross-Team Collaboration: Work closely with marketing and sales teams to define requirements, understand data needs, and translate business objectives into technical solutions and reports.
Requirements
2-5 years of professional experience in data analysis/science roles.
BSc degree in statistics, data science, business analysis, or other related technical field.
Proven ability to design and deliver complex SQL queries and high-accuracy reports tailored to the needs of diverse business stakeholders
**Data skills:**
Strong proficiency in SQL and working with relational databases.
Strong proficiency in Python for data analysis and machine learning
Experience with data analysis libraries like pandas, NumPy, and scikit-learn.
Experience in building and deploying machine learning and AI models
Familiarity with data lakes (BigQuery preferred)
Experience with version control using Git
**Soft skills:**
Strong analytical and problem-solving abilities
Excellent communication skills to present findings to technical and non-technical audiences
Ability to work independently and as part of a team
Solution oriented,
Attention to detail
Always seeking to grow, learn, and drive the business forward
Benefits
What’s in it for you:
Work in a fast-paced environment at a leading, trend-setting company with pioneer products.
Competitive remuneration, based on your skills and experience.
Ongoing learning opportunities and free participation in BOUSSIAS events and conferences
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