Job Summary: 

• Understand and challenge, when required, business requirements
• Specify (High-Level Design and Tech Spec), code and write automated unit tests for new aspects of data solutions.
• Write clear and concise supporting technical documentation.
• Contribute to the success of the team by learning, working with or mentoring others as appropriate.
• Provide third-line support for internally developed software.
• Create and maintain continuous deployment pipelines.
• Contribute/adopt/encourage adoption of Development Team standards and principle
• Implement data solutions in line with company policies and processes, including design and service transition
• Design and build insightful alerts and data validation frameworks.
• Continuously implement code/performance optimizations and development process improvements.
• Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team.

Skills on Resume: 

• Business Analysis (Soft Skills)
• Technical Specification (Hard Skills)
• Unit Testing (Hard Skills)
• Documentation (Hard Skills)
• Team Collaboration (Soft Skills)
• Software Support (Hard Skills)
• Deployment Management (Hard Skills)
• Data Validation (Hard Skills)

Job Summary: 

• Provide programming support to data science tasks that may include data visualization, predictive analytics, machine learning, natural language processing, or GIS analysis
• Write programs in R, Stata, or Python to extract, clean, and format data and to create variables for use in analysis
• Perform statistical analyses and prepare tables, graphs, and visualizations
• Interpret data outputs and articulate findings to researchers
• Use SQL and NoSQL to manage large structured and unstructured data sources
• Assist in the development of reporting specifications and user manuals
• Assist in the definition, specification, and documentation of data and security requirements
• Develops and codes software programs, algorithms and automated processes to integrate and evaluate large datasets from multiple disparate sources.
• Develop end-to-end automated data pipelines to support integrated analytics products spanning recruiting, workforce management, employee sensing, compensation and other areas.
• Interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
• Translate complex data and process concepts into scalable and performant analytical data models that power visualization analytics platforms.

Skills on Resume: 

• Programming Support (Soft Skills)
• Data Extraction and Cleaning (Hard Skills)
• Statistical Analysis (Hard Skills)
• Data Interpretation (Soft Skills)
• SQL and NoSQL Management (Hard Skills)
• Reporting Specifications (Hard Skills)
• Data Requirements Documentation (Hard Skills)
• Automated Data Pipeline Development (Hard Skills)

Job Summary: 

• Development across the spectrum of data management work, including data warehousing (typically using Kimball or Data Vault 2.0 methodologies), data cleansing (automated), data integration and master data management.
• Contribute to and maintain client satisfaction on all allocated projects
• Work on all phases of the project from inception and design to delivery into production
• Work effectively as part of a highly motivated team
• Work across multiple technologies, identifying the best use of tools for different problems
• Work to tight deadlines and deliver quality innovative products
• Work with business users to present data through reporting, dashboard technologies and custom data visualization to provide insight to facilitate decision making
• Work with business analysts and project managers to proactively identify potential issues to de-risk the progress of development
• Designs, develops, implements and maintains business solutions for small to medium projects, including testing and implementation of new business intelligence tools, codes and patches.
• Defines and contributes to data and data quality standards, controls, procedures, and documentation. 

Skills on Resume: 

• Data Management Development (Hard Skills)
• Client Satisfaction (Soft Skills)
• Project Lifecycle Management (Hard Skills)
• Team Collaboration (Soft Skills)
• Technology Utilization (Hard Skills)
• Deadline Management (Soft Skills)
• Data Visualization (Hard Skills)
• Data Quality Standards (Hard Skills)

Job Summary: 

• Developing high-quality Python/PySpark/SQL analysis modules based on complex requirements for 5G and Automotive data analytics use cases.
• Setting up data pipelines in the cloud to run scheduled and on-demand analysis tasks.
• Perform data mining on cloud data warehouses like AWS Redshift and develop insightful dashboards using visual analytics platforms such as Tableau, Qlik, etc.
• Presenting design and analysis ideas to team members, leads, and higher management.
• Collaborating with other engineers in and around the group, researching and developing innovative analytics solutions, and ensuring these solutions are contributing to the company's goals.
• Work with investment teams to identify key data, data analysis and tools for investing decisions
• Understand the investment process of various investment teams and come up with ideas on how to leverage data and data visualizations
• Develop both quick proof of concept to gain support and build production-grade pipelines and data dashboards and tools.
• Participate in daily Data Engineering scrums to drive business value and generate ideas to get new data viz innovations
• Identify areas for data quality improvement and help resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.

Skills on Resume: 

• Python/PySpark/SQL Development (Hard Skills)
• Data Pipeline Setup (Hard Skills)
• Data Mining (Hard Skills)
• Dashboard Development (Hard Skills)
• Presentation Skills (Soft Skills)
• Collaborative Innovation (Soft Skills)
• Investment Data Analysis (Hard Skills)
• Data Quality Improvement (Hard Skills)

Job Summary: 

• Responsible for the analysis, development and implementation of reporting deliverables regarding the marketing strategy, business plans, budgets and marketing campaigns for the direct-to-consumer department.
• Partners with business unit, I/S and external vendors to provide data reporting and business intelligence solutions while ensuring all data quality and company standards are met in both internal and external environments.
• Acts as liaison with business partners, I/S, and external vendors to facilitate collaboration, data access, information sharing and problem resolution across all lines of business and vendor requests and project needs.
• Manages data feeds that are produced both within the company and that are provided by external vendors, providing appropriate guidance and oversight of information requests, sharing of data, and final analysis of results. 
• Ensures appropriate handling of licensed and purchased data about customer data. Including setting up and configuring SFTP directories and web service access.
• Manages the distribution and business rule adherence for all data extraction, including all necessary compliance and legal requirements, including the communication of issues, variance analysis and performance results to management and partner areas.
• Performs analysis and design by translating business requirements and developing reporting solutions that yield relevant business information in a user-friendly format by collecting, analyzing and leveraging data.
• Provides support to customers by investigating, reviewing and analyzing data from multiple internal and external sources and understands the source structures and business relevance of the data within a broad range of the business unit.
• Responsible for expense and contract management within an external vendor environment, including development hours, data feeds, and storage decisions.
• Build reporting and data systems that reside in a variety of environments while maintaining current knowledge of programming languages to support each environment.

Skills on Resume: 

• Reporting Analysis and Development (Hard Skills)
• Data Quality Assurance (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Feed Management (Hard Skills)
• Data Handling Compliance (Hard Skills)
• Business Requirements Translation (Hard Skills)
• Customer Support and Analysis (Soft Skills)
• Expense and Contract Management (Hard Skills)