A Data Scientist expertly uses feature engineering to prepare data for machine learning and also applies Artificial Intelligence to improve business performance.
A senior Data Engineer automates workflows for data modeling, mining and production. A junior Data Wrangler transforms and loads data into operational databases.
A Data Analyst interprets data and determines how to structure data to extract business value in order to improve business decisions.
A Data Visualization Engineer facilitates communication of insights via color and graphs delivered in reports and dashboards.
A Data Quality Analyst inspects and verifies incoming and outgoing data sets to identify and resolve data quality issues and to maintain quality standards.
Alteryx Designer Certified Professionals build automated data analytics, workflows and visualizations. Their certifications are divided into three distinct skill sets of Core, Advanced and Expert.
What is a Pimcore Customer Data Platform Engineer? Read job description, qualifications, and salary ranges for data engineers specializing in the Pimcore Customer Data Framework.
A Project Manager is responsible for client communication and for meeting and exceeding expectations on timeliness, quality of work and cost.
A Data Architect designs data structures for customer data platforms, data marts, CRM systems and other systems of record.
A Database Administrator plans, develops and optimizes database performance for operational data stores such as data marts and data lakes.
A Data Journalist creates the "data story" from AI output to facilitate executive level decisions that enhance business performance.
A Salesforce Marketing Cloud Developer is expert in automating marketing funnel workflows leveraging CRM customer and prospect data.
A Business Analyst writes technical requirements for production teams to execute, working with clients and a Solution Advisor to document needs.
A Machine Learning Engineer is expert in running tests and experiments for ML/AI models and implements top performing algorithms to score data.
A Solutions Advisor is a domain expert who bridges the gap between data science and the needs of a business, acting as a visionary and a technical lead.
to identify the opportunities, improve your organization's data workflows and streamline the processes built around data analytics, reporting and more.
make the complex easy for you
Your goals and definition of success
Your customer and response data
Third party enrichment data
Your technology or ours
Your methods or ours
Your people and ours
Predictably profitable records
Better decision making
Improved marketing performance!