Analyze large datasets to draw insights for product and process improvement. Responsibilities include statistical analysis, data modeling, machine learning implementation, and report generation for business growth.
Job SummaryAnalyze data to draw insights, patterns, and conclusions that will enable the business to improve its products, services, and processes or to develop new strategies. Must be adept at handling large, complex datasets and developing and applying robust analytical processes, including data cleaning, data interpretation models, forecasting, pattern identification, and trend analysis. In addition to studying product and process-related data, the data scientist may be involved in studying environmental conditions in which the firm operates, competitor behavior, or other data sources. Role requires knowledge of tools and methods, including statistics, artificial intelligence, and machine learning.
Job ResponsibilitiesPerform analytics that uses and learns from both new and historical data to predict activity, behavior, and trends; use statistical techniques including data modeling, machine learning, artificial intelligence, deep learning algorithms, and data mining to drive better decisions.
Research problems and collate and analyze data to generate analysis outcomes and business insights.
Create and execute strategy to leverage data and analytics to drive business value.
Identify areas of improvement for business performance and support business needs through business intelligence. This includes data collation, use of machine learning and artificial intelligence, and internal stakeholder management.
Translate data and analytics strategy into data systems and architecture, processes, and solution models.
Collect and analyze data, produce reports, identify impact from reports, and make recommendations.
Collect business requirements to express the requirements in terms of target user roles and goals.
Develop and communicate results and insights from data analysis and resulting actionable recommendations to stakeholders.
Develop personal skills, knowledge, technical competencies, and behavioral competencies to ensure that they are relevant to current and future role or organizational requirements, to enhance personal performance, to support innovation and new developments, and to fulfill personal potential.
Experience LevelRecommended General Experience: Experience enables job holder to deal with the majority of situations and to advise others (Over 3 years to 6 years)
Recommended Management Experience: Experience of general supervision of more junior colleagues (7 to 12 months)
Applicable SkillsData Collection and Analysis - 4 - Works at an advanced level to determine and analyze trends from data that is collected to assist in compiling reports that will help in decision-making. Typically works independently and provides guidance.
Data Analysis Techniques - 4 - Works at an advanced level to inspect, cleanse, transform, and model data to discover useful information, inform conclusions, and support decision-making. Typically works independently and provides guidance.
Business intelligence and data analysis - 4 - Works at an advanced level to analyze and interpret large sets of data in order to identify patterns, trends, and insights that can inform decision-making and drive business growth. Typically works independently and provides guidance.
Data Management - 4 - Works at an advanced level to develop and execute architectures, policies and practices in order to manage the information lifecycle needs of an organization. Typically works independently and provides guidance.
Data Control - 4 - Works at an advanced level to acquire, organize, protect and process data in order to fulfill business objectives. Typically works independently and provides guidance.
Data Interpretation - 4 - Works at an advanced level to interpret data by examining patterns, trends, relationships, and implications to draw meaningful conclusions and answer critical questions. Typically works independently and provides guidance.
Analytical or scientific software - 4 - Works at an advanced level to perform advanced data analysis, modeling, and simulation tasks to gain insights, make predictions, or solve complex scientific problems. Typically works independently and provides guidance.
Data Algorithm Principles - 4 - Works at an advanced level to comprehend, design, and execute algorithms, demonstrating proficiency in various algorithmic techniques such as sorting, searching, optimization, and machine learning. Typically works independently and provides guidance.
Numerical Skills - 4 - Works at an advanced level to understand numerical concepts and use them to carry out mathematical operations e.g. in order to analyze reports. Typically works independently and provides guidance.
Statistical Techniques - 4 - Works at an advanced level to apply analytical skills and statistical methods for data collection, review, testing, analysis, and conclusion drawing, with a solid understanding of probability theories, data models, and statistical software. Typically works independently and provides guidance.
Business Data Modeling - 3 - Works with full competence to conduct activities to collect, analyze, diagram (model), and report information and data flow, including state changes, to help make strategic decisions, achieve major goals, and solve complex problems. Typically works without supervision and may provide technical guidance.
Data Conversion - 3 - Works with full competence to use data conversion tools and techniques to encode data in various formats. Typically works without supervision and may provide technical guidance.
Database User Interfaces and Queries - 3 - Works with full competence to create and run queries and interact with various database interfaces and query languages. Typically works without supervision and may provide technical guidance.
Business Requirements Analysis - 4 - Works at an advanced level to express user needs in terms of business requirements, identify current capability of the business to deliver, conduct build or buy analyses, and recommend preferred approach. Typically works independently and provides guidance.
Computer Skills - 5 - Operates as a recognized expert to understand and effectively use standard office equipment and standard software packages to support business processes. Typically known as a subject matter authority.
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