Total 2 job vacancies by Fusion Apps Consulting Limited

Position: Project Manager
Location: Reading, UK
Employment Type: Full-Time
Salary: 36K

Job Summary:
We are seeking a seasoned Project Manager with extensive experience in managing complex projects and programs across various industries. The ideal candidate will have over 24 years of experience in the IT industry, with a proven track record of delivering projects on time, within budget, and to the highest quality standards. The Project Manager will be responsible for leading cross-functional teams, managing offshore and remote resources, and working with 3rd party vendors to achieve successful project outcomes.
Key Responsibilities:
• Programme/Project Management:
o Lead and manage multiple projects/programs simultaneously, ensuring timely delivery, adherence to budgets, and compliance with quality standards.
o Utilize both Agile and waterfall methodologies to manage projects, tailoring approaches to suit project needs.
o Develop and implement comprehensive project plans, including resource allocation, scheduling, and budgeting.
• Team Leadership:
o Manage and motivate cross-functional teams, including offshore, remote, and matrix teams.
o Foster a collaborative work environment to ensure team alignment and effective communication.
• Vendor Management:
o Oversee the engagement and performance of 3rd party vendors, ensuring they meet project requirements and deliverables.
• Stakeholder Management:
o Collaborated and co-ordinated with internal and external stakeholders.
o Vendors management.
o Actively engaged in Senior Stakeholder Engagement and governance.

Job Specification: Data Analyst
Position Title: Data Analyst
Location: Reading
Job Type: Full-time
Overview:
We are seeking a highly skilled Data Analyst with a Master of Science in Data Science and Artificial Intelligence to join our team. The ideal candidate will possess advanced analytical skills, proficiency in statistical techniques, and the ability to interpret complex data sets to drive informed business decisions.
Key Responsibilities:
1. Data Collection and Cleaning:
o Gather data from various sources including databases, APIs, and external sources.
o Ensure data integrity and accuracy through rigorous data cleaning and preprocessing techniques.
2. Data Analysis and Interpretation:
o Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.
o Utilize statistical methods and machine learning algorithms to analyze data.
o Interpret data findings and translate them into actionable recommendations.
3. Reporting and Visualization:
o Develop and maintain dashboards and reports to visualize data insights using tools like Tableau, Power BI, or similar.
o Present findings to stakeholders in a clear and concise manner.
4. Collaboration:
o Work closely with cross-functional teams including marketing, finance, and product development to understand data needs and deliver insights.
o Collaborate with data engineers and IT teams to ensure seamless data flow and integration.
5. Model Development:
o Build, validate, and deploy predictive models using machine learning techniques.
o Monitor model performance and update models as necessary.
6. Continuous Improvement:
o Stay updated with the latest trends and advancements in data science and AI.
o Suggest and implement process improvements to enhance data analysis efficiency and accuracy.
Required Qualifications:
• Educational Background:
o Master’s degree in Data Science, Artificial Intelligence, Computer Science, Statistics, or a related field.
• Technical Skills:
o Proficiency in programming languages such as Python or R.
o Experience with SQL for database querying.
o Knowledge of data visualization tools (e.g., Tableau, Power BI).
o Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Analytical Skills:
o Strong understanding of statistical methods and data analysis techniques.
o Ability to interpret complex data sets and provide meaningful insights.
• Soft Skills:
o Excellent communication and presentation skills.
o Strong problem-solving abilities.
o Ability to work collaboratively in a team environment.
o Detail-oriented with a focus on accuracy and quality.
Preferred Qualifications:
• Experience in a similar role within Data Analysis.
• Certification in data science or related fields.
• Experience with big data technologies (e.g., Python, Hadoop, Spark).
• Experience with Database (SQL Server, Oracle)
• Experience in Tools (PowerBI, Tableau)
Work Environment:
• Office-based with potential for remote work.
• Collaborative and fast-paced environment.
• Opportunities for professional growth and development.