Experienced Director of Recruiting Analytics & Insights to enhance data - driven recruiting strategies. Leading a team at Salesforce to derive actionable insights through advanced analytics.
EX
Hybrid Data Engineer – Data Management and Analytics, Data Ops/Data Analyst
Posted 4 months ago
About the role
- Data Engineer collaborating with client stakeholders to meet business objectives through data analytics and reporting solutions. Responsible for data modeling, pipeline development, and maintaining data governance standards.
Responsibilities
- Collaborate with client stakeholders to analyze and synthesize the client data to meet the business objective, reporting dashboard, and descriptive/predictive/prescriptive analytic requirements.
- Leverage best practices and industry leading tools and technologies to profile data, develop efficient ingestion, and build semantic data layers.
- Design data models and solutions for analytical and reporting use cases.
- Build and maintain scalable data transformation workflows in dbt (data build tool) and Snowflake, ensuring clean, consistent, and well-modeled data sets that serve as the foundation for analytics and reporting.
- Implement data quality testing, documentation, and version control within dbt to enforce best practices in data governance and maintain transparency across the analytics lifecycle.
- Develop efficient, reusable data pipelines and Tableau use case layers that enable cross-functional teams to perform self-service analytics and advanced data exploration with minimal engineering dependency.
Requirements
- Master’s or Bachelor's degree in Data Science, Computer Engineering, Math, Statistics, Economics or related analytics field from top-tier universities with strong record of achievement.
- 3-5 years of experience with solid data engineering skills.
- Hands-on knowledge of traditional relational data warehouse technologies, such as SQL (including Analytical SQL functions), dbt (data build tool), Tableau, Python/Pyspark.
- Experience in data architecture and data modeling, including creating Semantic Layer Data Models.
- Preferred expertise in Sports industry.
- Experience in Machine Learning or NLP, such as Scikit-Learn, SpaCity, Pytorch, or Spark NLP is desirable.
- Prior experience in management consulting and/or analytics based consulting is desirable.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Manager of Data Analytics & BI leading team and driving data - driven decisions at Red Lobster. Overseeing reporting solutions and building analytics ecosystem for organizational insights.
Data Analyst analyzing windfarm availability data and providing reports for Nordex's operations team. Liaising with various departments and ensuring data quality in Chennai, India.
Junior Data Analyst role at Dotz performing data analysis to improve client experiences and drive revenue through advanced statistical techniques.
Head of Workplace Solutions for data analytics and insight at M&G. Leading decision - making support and operational real estate portfolio performance enhancement.
Technical Data Analyst ensuring quality of content data through SQL development and analytics reporting at GHX. Collaborating in an Agile/Scrum environment with cross - functional teams.
Apprenticeship in People Data Analytics for a French - speaking candidate based in Paris. Support data collection, cleaning, analysis, and dashboarding to deliver HR insights.
Marketing Data Analyst for digital advertising firm managing data collection and analysis for effective marketing campaigns. Collaborating with teams to enhance investment efficiency and strategic decision - making.
Senior Data Analyst supporting company initiatives and collaborating with multiple stakeholders in Seattle's hybrid work environment.
WEB ANALYTICS MANAGER managing data collection and measurement reliability for NordVPN's web ecosystem. Collaborate with teams to ensure high - quality data for effective decision - making.