Ml Engineer - Data & Advanced Analytics
By Penske Truck Leasing At Tampa, FL, United States
1-3 years of experience developing software applications.
Experience in designing and building Web Applications, REST APIs is required.
Experience in technologies, frameworks, architecture, and design patterns.
Strong coding skills in languages like Python and software engineering best practices.
Experience in designing and building REST APIs and Microservices is required.
Experience with Relational Databases, MySQL, In-Memory databases, NoSQL databases and writing SQL queries.
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
Data Engineer I - People Analytics
By US Venture At , Appleton, 54915

POSITION SUMMARY Our People Analytics team is expanding! The Data Engineer I is responsible for designing, developing, implementing, and supporting data warehouse and cloud storage solutions that ...

Data Analytics Engineer Jobs
By Omnicell At , Remote
Create tickets and participate in the change control/change management discussions and processes for business unit
Proficient in Agile/Scrum software development lifecycle management
Self-motivated, independent worker who is driven to deliver results without close management
Bachelor’s degree in Computer Science/Information Systems Management or equivalent
Experience with CI/CD tools and Version Control tools like GIT
Knowledge of unit, integration, and end-to-end testing strategies
Analytics Engineer Jobs
By GE Power At Atlanta, GA, United States
Write Analytics Functional Documentation and supporting technical materials, gather end-user and customer requirements
Effective interpersonal and influencing skills
Develop, test, and deploy analytics that run 24x7 in the monitoring and diagnostic center.
Perform offline analytics studies using data-mining and statistical techniques to mitigate the fleet-wide risk of emerging issues.
Identify, calculate, and display key KPIs to provide better business insights into fleet operations.
Develop a trusted advocate relationship with customers.
Data Engineer – Retail Analytics
By Procter & Gamble At , Cincinnati $100,000 - $132,000 a year
Lead and continuously improve end-to-end service delivery including strategic vendor management, operations, and product innovation.
Partner with business stakeholders, upstream infrastructure platform teams, and downstream data consumers to understand and translate business requirements into technical design
Hands-on experience with the Azure Stack including computing services and data warehouses (Azure Data Factory, Azure Databricks)
Familiarity or experience with ETL in SQL and NoSQL data stores
Familiarity or experience in coding languages like R and Python
Familiarity or experience leading IT products through the full product lifecycle from design to development to operations
Data Engineer – Retail Analytics
By Procter & Gamble At Cincinnati, OH, United States
Lead and continuously improve end-to-end service delivery including strategic vendor management, operations, and product innovation.
Partner with business stakeholders, upstream infrastructure platform teams, and downstream data consumers to understand and translate business requirements into technical design
Hands-on experience with the Azure Stack including computing services and data warehouses (Azure Data Factory, Azure Databricks)
Familiarity or experience with ETL in SQL and NoSQL data stores
Familiarity or experience in coding languages like R and Python
Familiarity or experience leading IT products through the full product lifecycle from design to development to operations
Data Analytics Engineer Jobs
By Procter & Gamble At Cincinnati, OH, United States
Data management, ingesting new data, transforming/harmonizing data
Engage project teams to understand project needs/requirements and provide technical expertise with data and analytical tools.
These positions are entry-level with up to 4 years work experience
Strong leadership, business problem definition, and priority setting skills
Prior Innovation Development, or Supply Chain, or IoT or related experience
Skills in data visualization (Tableau, Power BI, or similar) and script program languages (SQL, Python/Scala, R, JAVA, C+)
Analytics Engineer Jobs
By EquipmentShare At Sun City, KS, United States
Undergraduate degree, or equivalent practical experience, in computer science, machine learning, software engineering, statistics or related field
Health insurance and medical coverage benefits
Opportunities for career and professional development with conferences, events, seminars, continued education
State of the art onsite gym (Corporate HQ)/Gym stipend for remote employees
Demonstrated understanding of the techniques and methods of modern product development
Demonstrated understanding of business analytics
Analytics Data Engineer Jobs
By Sud Recruiting At Dallas-Fort Worth Metroplex, United States
Excellent benefits including strong total compensation
4+ years of experience mining and analyzing data, using it to provide strategic recommendations on analysis performed
MUST have strong SQL skills
excellent benefits including strong total compensation
Analyze existing data processes, blend data from multiple sources, proactively implement process improvements to serve the data needs of Analytic teams
Develop and maintain tools to support reporting and analytics including: data models, reporting systems, data automation systems, dashboards, and technical processes
Analytics Engineer Jobs
By Inceed At Houston, TX, United States
4+ years Production /Operations / Reservoir Engineering Experience in Oil & Gas
5-8 years of experience in Python/R
Experience in building custom solutions
Help build and deploy analytics solutions
Bachelor’s in petroleum engineering or equivalent
Data And Analytics Engineer
By F.N.B. Corporation At Pittsburgh, PA, United States
Minimum Level of Education Required to Perform the Primary Responsibilities of this Position:
Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position:
Skills Required to Perform the Primary Responsibilities of this Position:
Licensures/Certifications Required to Perform the Primary Responsibilities of this Position:
Physical Requirements Or Work Conditions Beyond Traditional Office Work
Join our team. Make a difference - for us and for your future.
Data Analytics Engineer Jobs
By KAYAK At Concord, MA, United States
Assist Product Managers with interpreting experiment results;
2+ years of professional experience in the field of data engineering, analytics, or software engineering;
Considerable experience with SQL using relational databases (e.g. MySQL, Vertica, Snowflake, Hive);
Experience in building and maintaining ETLs preferred;
Ability to write clean and concise code, Python experience preferred;
Experience with Airflow is a plus.
Analytics Engineer, Core Data & Analytics
By Ibotta, Inc. At Denver, CO, United States
Proactively incorporating the knowledge of how Decision & Data Science solutions meet end customer needs into data preparation design and decisions
Managing new data requirements and developing solutions that minimize technical debt creation
Proven experience with Python and SQL data wrangling
Experience identifying and troubleshooting data anomalies and pipeline issues
In-depth experience with ETLing data
Become an Ibotta Data Ninja, helping us organize and optimize our data for analysis
Platform Data Engineer, People Analytics
By Block At San Francisco, CA, United States
Partner with stakeholders and downstream data consumers to understand data and translate requirements into technical design of building scalable data pipelines.
Hands on experience on cloud-based computing services and data warehouses like AWS, GCP, Snowflake, Redshift or equivalent
Experience with SQL development and writing backend python code to create pipelines and data architecture
Experience understanding complex business systems; versatility and willingness to learn new technologies on the job
Experience working with employee / HR data is a plus
Paid Life insurance, AD&D, and disability benefits
Marketing Analytics Engineer: Data Architecture & Solutions
By Warner Bros. Discovery At New York, NY, United States
Able to facilitate user requirement gathering to inform design, or reverse engineer requirements from existing data sources & applications.
Ability to guide projects forward independently and manage multiple deliverables and time constraints simultaneously.
Advertising Agency experience a plus or working in media analytics at another entertainment company.
Design and implement logical data models and transformations to support flexible self-service reporting.
Support cross departmental core metrics and data dependencies with leadership visibility.
Serve as a subject matter expert of marketing data pipelines and semantic layers.
Analytics Engineer Jobs
By Vivint At Boston, MA, United States
Experience with AWS or Azure product offerings and platform.
1+ years of professional data modeling and data warehousing development experience (SSIS, dbt, Matillion, or similar).
Strong professional experience with complex SQL and the principles data warehouse design.
1+ years of professional experience with cloud data warehousing technologies (Snowflake or Redshift).
BA/BS or higher in Computer Science, Information Systems, Math, other technical field, or relevant work experience.
1+ years of professional experience with Git and code reviews.
Data Analytics Engineer Jobs
By Lawrence Harvey At Houston, TX, United States
Experience in the Oil & Gas or environmental industry is highly perferred
Experience with Spotfire, Tableau, MS PowerBI, or other similar BI platforms
Experience organizing and consolidating data from multiple different sources
Experience creating new dashboards and relevant analyses
Ability to communicate and present findings to various stakeholders
Data & Analytics Engineer Jobs
By Baird At Louisville, KY, United States
Demonstrate competence, experience, knowledge, understanding, and advocacy of data management concepts, data warehousing, BI, and analytics.
Business Intelligence tools: Microsoft tools (SQL Server Management Studio, SSRS, SSAS, Power Pivot, Power Query, PowerBI), Alteryx
Data Management and Quality: data mapping, data profiling, metadata repository, relational data modeling, master data management
Partner with internal business units to define information requirements and translate them into appropriate data solutions.
Partner with Analytics team members to translate business and functional requirements into technical designs
Support and flexibility to grow and be your best at work, at home, and in the community.
Analytics Engineer Jobs
By Motion Recruitment At Riverside, CT, United States
2+ years work experience in Analytics Engineering
Experience with BigQuery or Redshift or Snowflake
Experience working with AWS or GCP
Hands-on experience of analytical data warehouses/lakes using both distributed file systems and cloud-scale data processing systems
Experience building data integration frameworks to accelerate time to value on common integration challenges
Strong analytical and problem-solving skills

Are you a Data Analytics Engineer looking to join a dynamic and innovative team? We are looking for a passionate and experienced engineer to join our team and help us unlock the power of data. You will be responsible for developing and maintaining data analytics solutions, as well as providing insights and recommendations to our stakeholders. If you are excited by the prospect of working with cutting-edge technologies and have a passion for data, then this is the job for you!

A Data Analytics Engineer is responsible for designing, developing, and maintaining data analytics systems and solutions. They are responsible for creating and maintaining data models, developing data pipelines, and creating data visualizations.

What is Data Analytics engineer Job Skills Required?

• Proficiency in programming languages such as Python, R, SQL, and Java
• Knowledge of data analysis and visualization tools such as Tableau, Power BI, and Qlik
• Ability to work with large datasets and complex data structures
• Knowledge of data mining and machine learning algorithms
• Ability to develop and maintain data pipelines
• Knowledge of data security and privacy protocols

What is Data Analytics engineer Job Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• Experience with data analysis and data visualization
• Knowledge of data mining and machine learning algorithms
• Experience with programming languages such as Python, R, SQL, and Java
• Knowledge of data security and privacy protocols

What is Data Analytics engineer Job Knowledge?

• Knowledge of data analysis and visualization tools such as Tableau, Power BI, and Qlik
• Knowledge of data mining and machine learning algorithms
• Knowledge of data security and privacy protocols
• Knowledge of data warehousing and ETL processes
• Knowledge of cloud computing platforms such as AWS and Azure

What is Data Analytics engineer Job Experience?

• At least 3 years of experience in data analytics and data engineering
• Experience with programming languages such as Python, R, SQL, and Java
• Experience with data analysis and data visualization tools
• Experience with data mining and machine learning algorithms
• Experience with data warehousing and ETL processes

What is Data Analytics engineer Job Responsibilities?

• Design, develop, and maintain data analytics systems and solutions
• Create and maintain data models
• Develop data pipelines
• Create data visualizations
• Perform data analysis and data mining
• Implement data security and privacy protocols
• Monitor and optimize data performance
• Troubleshoot data issues and errors