Data Analytics Engineer Jobs
By Tatango At United States
Bachelor’s Degree preferred, or equivalent combination of education, training, and experience
4+ years of experience as a Data Analytics Engineer, Data Engineer/Analyst or equivalent
Strong cloud experience with AWS Services such as Compute and Storage
Experience with enterprise level visualization tools like Tableau, Looker and Sisense
Knowledge of complex ETL or ELT systems that make use of database technologies such as ElasticSearch, Redis, Postgres, MySQL and DynamoDB
Excellent communication, problem-solving and presentation skills
(100% Remote) Lead Data And Analytics
By LVMH Moët Hennessy Louis Vuitton Inc. Co. At United States
Master’s degree in business or Computer Science in a top school, or equivalent working experience.
3+ years of Experience working in the field of Data & Artificial Intelligence, preferably in a retail or fashion company.
Coordinate the deployment of local use cases with maisons including use case framing, implementation support, and performance measurement.
Explain complex things with simple words, without ever missing the big picture.
Influence stakeholders to deliver concrete data-driven results and value.
Communicate tough choices, and take the time to explain the “why” behind.
Lead Product Manager - Data Analytics
By Producto At United States
Strong experience across the entire Product Management lifecycle (product strategy, customer discovery, execution, etc.).
Can help establish best Product Management practices within the organization.
Experience in managing products from inception to launch.
Experience working with complex B2B SaaS products.
They are a fully remote team across the US with flexible working hours.
They also offer unlimited PTO and Health Insurance for you and your family.
Lead Data Engineer Jobs
By Forsyth Barnes At United States
Strong experience with Python and SQL.
Proficient experience with Snowflake, Databricks, and Azure
In-depth knowledge of Spark and PySpark for processing and analyzing large volumes of data
Lead Data Engineer – Requirements:
Ability to optimize performance and troubleshoot data processing workflows, identifying and resolving bottlenecks for improved efficiency
Unfortunately at this point, we cannot provide sponsorship of any kind for this role.
Lead Instructor For Data Analytics
By Masterschool At United States
2+ years of experience as a Data Analytics Instructor (Bootcamp or University).
2+ years of industry experience as a Data Analyst or equivalent.
Proven experience in creating a complete unit/course from scratch.
Developing and delivering high-quality live classes in data analytics.
Creating and curating engaging self-learning content, including videos, practices, competitions, and more.
Designing quizzes, assessments, and projects to gauge student understanding and application of the course material.
Data Engineer - Analytics (Remote)
By Prodware Solutions At United States
Understand Business Data and Reporting Requirements
Collect and decompose detailed requirements for development of dashboard/reporting tools
Guide best practices for data and analytics requirements, development, technical design/architecture as inputs to BRDs & solutions
Manage tech debt (sunset/enhancements) and support of existing solutions
Create functional design and solution requirement documentation for metrics and visualizations that underpin analytics use cases.
Senior Analytics Engineer / Analytics Engineer

Are you an experienced Data Analytics Engineer looking to take your career to the next level? We are looking for a Lead Data Analytics Engineer to join our team and help us unlock the potential of our data. You will be responsible for developing and maintaining data pipelines, creating data models, and analyzing data to uncover insights. If you are passionate about data and have a knack for problem-solving, this is the perfect opportunity for you!

Overview Lead Data Analytics Engineer is responsible for leading the development of data analytics solutions to support business objectives. This role requires a combination of technical and business acumen to develop and implement data-driven solutions. The Lead Data Analytics Engineer will be responsible for leading a team of data engineers and analysts to develop and maintain data pipelines, develop data models, and create data visualizations. Detailed Job Description
• Lead the development of data analytics solutions to support business objectives.
• Develop and maintain data pipelines, data models, and data visualizations.
• Lead a team of data engineers and analysts to develop and maintain data pipelines, develop data models, and create data visualizations.
• Develop and implement data-driven solutions.
• Analyze data to identify trends and patterns.
• Develop and maintain data warehouses and data marts.
• Develop and maintain data quality and governance processes.
• Develop and maintain data security and privacy policies.
• Collaborate with stakeholders to identify and prioritize data analytics needs.
• Develop and maintain data analytics dashboards.
• Develop and maintain data analytics reports.
• Develop and maintain data analytics tools and applications.
• Develop and maintain data analytics processes and procedures.
• Develop and maintain data analytics standards and best practices.
Job Skills Required
• Technical and business acumen
• Data engineering
• Data modeling
• Data visualization
• Data warehousing
• Data marts
• Data quality and governance
• Data security and privacy
• Stakeholder management
• Dashboard development
• Report development
• Tool and application development
• Process and procedure development
• Standards and best practices
Job Qualifications
• Bachelor’s degree in Computer Science, Information Systems, or related field
• 5+ years of experience in data engineering, data modeling, data visualization, data warehousing, data marts, data quality and governance, data security and privacy, stakeholder management, dashboard development, report development, tool and application development, process and procedure development, and standards and best practices
• Experience leading a team of data engineers and analysts
• Excellent communication and problem-solving skills
• Ability to work independently and in a team environment
Job Knowledge
• Knowledge of data engineering, data modeling, data visualization, data warehousing, data marts, data quality and governance, data security and privacy, stakeholder management, dashboard development, report development, tool