Analyst, Data Engineering, Technology & Data
Philadelphia, PA, United States
Applications have closed
Publicis Groupe
Company Description
PHM is the leading health media agency in the US. We are designed for—and dedicated to—delivering best-in-class solutions that connect people with meaningful health and wellness solutions every day. Guided by our genuine passion for health and wellness, our work across the entire media ecosystem helps real patients navigate the most pivotal moments of their healthcare journeys.
At PHM, we sit squarely at the intersection of Publicis Health, the largest Healthcare Communications network in the world, and Publicis Media, the number one buyer of media in the US. This gives us access to talent, technology and data to help us deliver the market-leading solutions that give our clients true competitive advantage.
While we have grown to be the No. 1 agency in our industry, at heart we’re still a startup. It’s that energy and spirit of innovation that allows us to create bold and meaningful “health media firsts” for our clients, and to do it all with #phmlove.
At Publicis Health, we are united around one purpose: to create a world where people are equipped and motivated to take control of their health. We transform healthcare marketing and communications into healthcare engagement. We believe healthcare marketing is healthcare, fostering healthy conversations, healthy behaviors and healthy people.
Job Description
Responsible for supporting automation across BI and data initiatives and developing data products. This resource plays a critical role in the development of BI/data warehouse/data lake solutions utilized by internal and external stakeholders. These solutions include data ingestion, harmonization, visualization, quality assessment and delivery.
Responsibilities:
- Support portfolio of data projects across different clients in the agency
- Work closely with different teams such as client, sales, IT, media planning and buying
- Create high performance data products by monetizing warehouse and ETL solutions
- Development and optimization of BI solutions such as Tableau, Datorama, Google Data studio, etc.
- Data management functions including:
- ETL/data feed management
- Metadata management
- Maintain best practices for handling, storing and using data
Tools:
- SQL Server/SSIS
- Python/Java
- BI Platforms – Tableau, Datorama, etc
- Cloud Technologies – AWS, Azure, Google
Qualifications
- BS Degree in one of the following subject areas; Computer Science, Information Technology or related field preferred
- Ability to track and resolve BI and database related incidents as well as requests
- Strong understanding of database structures, theories, principles, and practices
- Strong understanding of ETL and data warehouse principles
- Good interpersonal, written and oral communication skills
- Technical documentation skills
- Ability to present complex ideas in user-friendly language
- Self-motivated and directed, with keen attention to detail
- Able to prioritize and execute tasks in a team-oriented, high-pressure environment
Specific Skills Required:
- Minimum 3 years SQL experience, 1 year of ETL experience, 1 year analyzing data sets
- Minimum 1 year BI experience (Tableau, Datorama)
- Strong data warehouse knowledge
- Experience with large data sets
- Python, Java, C# or R experience a plus
- Experience with Web and Digital marketing data a plus
Additional Information
All your information will be kept confidential according to EEO guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Science Data management Data Studio Data warehouse Engineering ETL Python R SQL SSIS Tableau
Perks/benefits: Startup environment Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open AI Engineer jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Engineer jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open ETL Developer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs