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Data Analyst optimizing IoT fleet performance and enhancing device management at Gridware. Collaborating cross - functionally to forecast performance and guide operational decisions.
About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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