Analytics Engineer jobs in United States
cer-icon
Apply on Employer Site
company-logo

TWINOAKS · 15 hours ago

Analytics Engineer

TWINOAKS, a division of Publicis Groupe, is seeking an Analytics Engineer to develop and maintain data infrastructure that supports analytics capabilities. The role involves collaborating with data scientists and analysts to ensure data quality, implementing best practices for data governance, and developing data pipelines and machine learning models.

AdvertisingBrand MarketingMarketing

Responsibilities

Develop and maintain data pipelines and ETL processes
Optimize data infrastructure for efficient data processing
Ensure data quality and accessibility for data scientists and analysts
Collaborate with cross-functional teams to address data needs and challenges
Implement data governance and security best practices
Support annual planning initiatives with clients
Work closely with cross-functional teams, including analysts, product managers and domain experts to understand business requirements, formulate problem statements, and deliver relevant data science solutions
Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources
Develop supervised, unsupervised, and semi-supervised machine learning models using state-of-the-art techniques to solve client problems
Show up - be accountable, take responsibility, and get back up when you are down
Make stuff
Share so others can see what’s happening

Qualification

SQLETL workflowsPythonMachine learning modelsData warehousingCloud platformsData governancePower BIData modelingBig data technologiesMLOps practicesData analysisTechnical documentationCollaboration

Required

A bachelor's/master's degree in data analytics, computer science, or a directly related field
3-5 years of industry experience in a data analytics or related role
Proficiency in SQL for data querying and manipulation
Experience with data warehousing solutions
Design, implement, and manage ETL workflows to ensure data is accurately and efficiently collected, transformed, and loaded into our data warehouse
Proficiency in programming languages such as Python and R
Experience with cloud platforms such as AWS, Azure, and Google Cloud
Experience in developing and deploying machine learning models
Knowledge of machine learning engineering practices, including model versioning, deployment, and monitoring
Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Ability to design and develop scalable data pipelines for batch and real-time data processing
Experience with big data technologies such as Apache Spark, Hadoop, or similar
Proficiency in working with structured and unstructured data sources
Knowledge of data governance and security best practices
Strong understanding of data modeling techniques and best practices
Experience with DevOps or MLOps practices for continuous integration and deployment
Establish and create scalable and intuitive reporting methodologies through Power BI, suggesting the best representation and visualizations
Identify business intelligence needs recommending the best KPIs and customer valuation models and dashboards
Interpret data, analyze results, and identify trends or patterns in complex data sets
Filter and “clean” data and review computer reports, printouts, and performance indicators to locate and correct data corruption problems
Data collection, setting and leveraging DMP and CDP-based infrastructures, attribution modeling, A/B & multivariate testing, and dynamic creative
Develop, evaluate, test, and maintain architectures and data solutions such as ETL Pipelines, Data Warehouses, Data Marts, etc
Automate data pipelines and develop automation workflows
Develop scalable and intuitive ETL & ELT pipelines from a variety of marketing sources such as Salesforce, Adobe Analytics, etc
Identify data sources and create data pipelines using shell scripts or Python scripts
Create technical documentation
Plan data analysis work and develop execution estimates, continuously improving the accuracy of the estimates
Develop Single Customer View stitching 1P data from various data sources

Benefits

Medical coverage
Dental
Vision
Disability
401K
Parental and family care leave
Family forming assistance
Tuition reimbursement
Flexible time off

Company

TWINOAKS

twittertwitter
company-logo
Twinoaks specializes in branding, marketing campaigns, product launches, digital, and insights development.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase