Master's Degree in a related field or equivalent combination of training, education, and experience.
Extensive experience applying statistical methods, forecasting, cost-benefit analysis, and related analytical tools and programming languages.
Expert knowledge of ETL tools/techniques, data sourcing and cleansing, data warehousing, data cleaning, and data modeling; ability to transform data into actionable business insights.
Advanced SQL skills and experience with data visualization/BI tools (e.g., Power BI); strong communication skills and ability to present findings to stakeholders.
Requirements:
Perform complex analytical and statistical modeling on large data sets to support business operations; define data requirements and perform data collection, processing, cleaning, analysis, modeling, and visualization.
Design, develop, maintain, and manage advanced reporting, dashboards, data models, and analytical results; validate data accuracy and test results.
Lead complex data analyses with minimal supervision; mentor junior staff; collaborate with project leads to propose analytics solutions and drive decision-making.
Build and modify data warehouses/BI solutions; create data visualizations, identify trends, and drive efficiency through automation; communicate insights to stakeholders and support business strategy.
Job description
Title: Digital Data Support Engineer
Location: 100% Remote
Duration: Long-term Contract Work Eligibility: US Permanent Eligibility to Work Required
Job Description:
Perform complex analytical and statistical modeling on large data sets to support various business operations and organizational objectives.
Define data requirements, perform 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 complex data analysis with minimal supervision and wide latitude for independent judgment.
Individual contributor and mentor to more junior staff.
Design, develop, 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 current 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 complex Data Science and Big Data projects.
Effectively communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance.
Lead, guide, and mentor less experienced staff; Direct the work of others as needed.
Perform other duties as assigned.
Qualifications:
Master's Degree in a related field, or the equivalent combination of training, education and experience.
Extensive experience in the application of statistical methods, mathematical techniques, forecasting, cost- benefit analysis, related analytical tools and programming languages.
Expert skill 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 skill 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 skill identifying and analyzing business requirements and recommending solutions.
Effective skill 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 within 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 skill in the use of measurement and statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better 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 perform basic statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques.
Expert skill 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.
