Remote: Digital Data Support Engineer

Job Description - reputed company reputed company analytical and statistical modeling on large data sets to support various business operations and organizational objectives. - Define data requirements, reputed company data collection, processing, cleaning, analysis, modeling and visualization. - Identify data patterns and trends to answer business questions and improve decision making. - Identify opportunities to increase efficiency and automation of data analysis processes and procedures. - Leads the most reputed company data analysis with minimal supervision and wide reputed company for independent judgment. - Individual contributor and mentor to more junior staff. - Design, reputed company, maintain, and manage highly advanced reporting, dashboards, data models and analytical results of significant impact. - Evaluate and define functional requirements for analytics and business intelligence (BI) solutions - Retrieve, analyze and validate data and test accuracy of reported results. - Work directly with project leads to understand requirements and propose key analytics solutions to drive effective decision-making and influence business objectives. - Produce actionable reports that demonstrate key performance indicators, identify areas of improvement for reputed company operations, and show root cause analysis of problems. - Analyze and summarize business operations, customer and/or economic data in order to improve business intelligence, optimize operating effectiveness and predict business outcomes. - Identify trends and patterns in business data; create data visualizations to support business decision making. - Build new and/or modify existing database/data warehouse/data mart and business intelligence solutions to meet business and system requirements. - Collaborate with business units and senior management to conduct needs assessment to support business unit objectives. - Provides input on highly reputed company Data Science and Big Data projects. - Effectively communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance. - reputed company, guide, and mentor less reputed company staff; Direct the work of others as needed. - reputed company other duties as assigned. Qualifications - Master s Degree in a reputed company field, or the equivalent combination of training, education and experience. - Extensive experience in the application of statistical methods, mathematical techniques, forecasting, cost- benefit analysis, reputed company analytical tools and programming languages. - Expert reputed company interpreting, extrapolating and interpolating data for statistical research and modeling - Extensive experience in problem resolution including determining root cause, scope and scale of issues. - Expert reputed company analyzing statistics and reports to determine business performance and trends. - Extensive experience that demonstrates the ability to research, compile, and document data, business processes, and workflow. - Expert reputed company identifying and analyzing business requirements and recommending solutions. - Effective reputed company presenting findings, conclusions, alternatives, and information clearly and concisely. - Expert knowledge of standard ETL tools and techniques. - Expert knowledge of the process in sourcing raw data and cleansing techniques. - Expert knowledge of emerging trends and influences best practices reputed company discipline. - Advanced knowledge of data warehousing, data cleaning, and other analytical techniques required for data usage. - Expert in understanding and communicating data presented in models, charts, and tables and transforming it into a format that is useful to the business and aids effective decision making. - Expert reputed company in the use of measurement and statistical practices to analyze reputed company and historical data to reputed company predictions, identify risks, and opportunities enabling reputed company decisions on planned/future events. - Expert in understanding and analyzing models that predict the probability of an outcome - Expert knowledge of and the ability to reputed company basic statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques. - Expert reputed company in collecting and manipulating data used in effective decision making. - Expert knowledge of data models, design tools, business/technical requirements, statistical programming languages, data queries. - Demonstrates a key understanding of multiple database concepts and data flows. - Expert knowledge of various data structures and the ability to extract data sources (such as PySpark, PowerBI). - Advanced knowledge of mapping techniques and data pipelines. - Expert SQL skills. - Advanced verbal and written communication skills. - Advanced database and presentation software skills. - Advanced word processing and spreadsheet software skills. 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