Senior Data Analyst

Senior Data Analyst

Requirements

• Master’s degree or the equivalent in Computer Science, Information Technology, Engineering, or related field; OR Bachelor’s degree or the equivalent in Computer Science, Information Technology, Engineering, or related field plus 2 years of experience in data analytics or related field; OR 4 years of experience in data analytics or related field.
• Design predictive analysis flow with automated scoring on live dataset by using Dataiku and Python
• Exploratory data analysis, and data visualizations techniques using MS-Excel, Python, and Power BI
• Data analytical techniques involving data wrangling, and data manipulation using SQL, Python and Excel
• Developing predictive models using scripting languages like Python for solving business cases
• Modeling supervised algorithms like logistic regression, classification using decision tree, random forest for generating actionable insights
• Coding in object-oriented programming language (Python)
• Conduct descriptive analysis by using MS-Excel and pivot table
• Model validations and testing using K-fold cross-validations and assessing the model performances
• Big Data extractions, structured data manipulation by querying databases using MS-SQL
• System design and analysis for translating business problems into data models to enable data-driven decision making for business leaders
• Business processes involved in People analytics and consulting domain to formulate key performance metrics, design the measurement and monitoring framework for the same.

Responsibilities

• Analyze and interpret information for one or more initiative work streams to improve business efficiency by using various analytical methodologies.
• Develop and direct one or more work streams of a cross-functional project to achieve desired results by ensuring understanding of scope of work; organizing timelines and deliverables; facilitating meetings involving project teams to analyze, plan, and implement project initiatives; taking corrective action; and reporting results and deliverables to supervisors and stakeholders.
• Collaborate cross-functionally on assignments with internal and external stakeholders to understand the results of data analyses and research by communicating results and findings.
• Develop tools that support decision making and business cases by summarizing needed information; determining what information must be reported; ensuring customer needs are met; and analyzing an initiative’s impact to the business.
• Assume duties of Project Manager III, Innovation in the absence of the Project Manager III, Innovation by attending meetings; working directly with the project team members on specific projects and analyses; performing analyses; providing directional advice and guidance related to defined logistical issues; and determining which issues should be elevated to a higher priority.
• Demonstrate up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.
• Provide and support the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.
• Model compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

Preferred Qualifications

No preferred qualifications provided.