Job Description :

The Advanced Analytics Developer – Intermediate is responsible to support both advanced analytics strategy and data visualizations solutions across all business areas. In this role, you will drive the exploration, analysis, development, execution, and measurement of analytical solutions. You will utilize proper tools to process financial data, like R, Python, or Excel, to prepare for upcoming data analysis or modeling exercises. The role requires a broad knowledge of existing machine learning algorithms, a strong eye for business, and creativity to invent and customize when needed. You will be one of the key player in a multi-functional team that delivers insights that have direct and measurable impact.
Job Deliverables
• Identify valuable data sources and automate collection processes. Undertake preprocessing of structured and unstructured data (10%)
• Analyze large amounts of information to discover trends and patterns (20%)
• Build predictive models and machine-learning algorithms (30%)
• Present information using data visualization techniques (10%)
• Propose solutions and strategies to business challenges (15%)
• Collaborate with internal and external teams (15%)

Education
Required Bachelor’s Degree in:
Computer/Information Science
Mathematics
Statistics

Preferred Master’s Degree In:
Computer/Information Science
Information Technology
Statistics

Knowledge, Skills & Abilities
• Must have 3-5 years of relevant working experience of relevant working experience in data science role
• Practical experience conducting experiments on large datasets
• Excellent communication and presentation skills. Must be able to explain complex statistical terms and results to both technical and non-technical audiences
• Proficient with analytics tools and programming skills such as R, Python, Excel, and Tableau.
• Ability to communicate the results of analyses in a clear and effective manner
• Ability to work efficiently with internal and external teams to meet the data needs of the business. Experience in quantitative analysis including regression, classification, clustering, and time-series analyses.
• Comfortable working with modern data technologies.

IT Skills
• Expert in R, Python, Excel, and Tableau Visualization
• Microsoft Azure
• Knowledge of relational database concepts
• Database DB2, Oracle, Vertica

Additional Skills:
Problem Solving & Analysis Skills; Statistical, mathematical, predictive modeling knowledge; Ability to query databases and perform statistical data analysis; Knowledge and expertise in latest big data technologies; Broad understanding and experience with real time analytics and BI platforms.

             

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