Manager

Jobtailor; New York (NY); On-site; USD 110,000 - 140,000; Full time

Job summary

Jobtailor seeks a data analytics professional with 2+ years in machine learning or data engineering to join our team. You will manage data projects, craft communications, and coordinate efforts across sub-teams while presenting findings to stakeholders.

You’ll apply SQL, SAS, R, Hive, Teradata, Hadoop, and ETL tools to extract, process, and visualize data, supporting data-driven decision making. Travel to US sites is possible.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field.
• At least two years in ML or data engineering.
• At least two years SQL experience with complex queries and stored procedures.
• Two+ years ETL tools experience (Informatica, DataStage).
• Experience with relational databases (Oracle, PostgreSQL).
• Familiarity with data warehousing concepts.
• ETL and SQL performance tuning experience.
• Knowledge of programming languages.

Responsibilities

• Manage project tasks and project plans.
• Write communications and decks.
• Coordinate sub-team efforts and deliver outputs.
• Facilitate and gather client feedback on problem structuring.
• Manage feedback loops with offshore resources.
• Import raw data from client data warehouses into statistical analysis software.
• Process data through coding, compilation, calculation, tabulation, and verification.
• Make recommendations to management through presentations.
• Use visualization software, charts, tables, and other tools to highlight trends and recommendations.
• Review and advise on team members’ data analysis, results, interim and final output files, and recommendations.
• Use SAS, R, SQL, Hive, Teradata, Hadoop, Microsoft Office, Excel, and PowerPoint for data extraction, understanding, and analysis.
• Position may work at various and unanticipated worksites throughout the United States.

Skills

Data Analysis

SQL Proficiency

ETL Tools Experience

Machine Learning Expertise

Data Visualization

Communication

Education

Bachelor’s degree in Engineering, Computer Science, or related field

Tools

SAS

R

SQL

Hive

Teradata

Hadoop

Informatica

DataStage

Oracle

PostgreSQL

Excel

PowerPoint

Job description

• Manage project tasks and project plans
• Write communications and decks
• Coordinate sub-team efforts and deliver outputs
• Facilitate and gather client feedback on problem structuring
• Manage the frequency of feedback loops with offshore resources
• Import raw data from client data warehouses and databases into statistical analysis software
• Process data through coding, compilation, calculation, tabulation, and verification
• Make recommendations to management through presentations
• Use visualization software, charts, tables, and other tools to highlight trends and recommendations
• Review and advise on team members’ data analysis, results, interim and final output files, and recommendations
• Use SAS, R, SQL, Hive, Teradata, Hadoop, Microsoft Office, Excel, and PowerPoint for data extraction, data understanding, variable reduction, big data processing, data analysis, model development, model stabilization, model validation, summarization, visualization, and presentation
• Position may work at various and unanticipated worksites throughout the United States

Requirements

• Bachelor’s degree in Engineering (any), Computer Science, or a directly related field
• At least two (2) years of experience in a machine learning or data engineering field
• At least two (2) years of experience with SQL, including complex queries and stored procedures
• At least two (2) years of experience with ETL tools, including Informatica and DataStage
• Experience with relational databases, including Oracle and PostgreSQL
• Familiarity with data warehousing concepts
• Experience with performance tuning of ETL jobs and SQL queries
• Knowledge of computer programming and computer languages
• English-language resume and cover letter application materials are implied by the English posting but no explicit language requirement is stated

Core Competencies

Demonstrates expertise in data analysis, machine learning, and data engineering, utilizing tools such as SQL, SAS, and R for data processing and visualization. Proven ability to manage project tasks, coordinate team efforts, and communicate findings effectively through presentations.

Highest-signal resume keywords

• Data Analysis
• SQL Proficiency
• ETL Tools Experience
• Machine Learning Expertise
• Data Visualization

ATS Optimization Keywords

Hard Skills

• Data Analysis
• Machine Learning
• SQL
• ETL
• Data Warehousing
• Data Processing
• Statistical Analysis
• Performance Tuning
• Data Extraction
• Model Development

Soft Skills

• Communication
• Team Coordination
• Client Feedback Facilitation

Industry Keywords

• Data Engineering
• Data Warehousing Concepts
• Relational Databases
• Oracle
• PostgreSQL

Tools & Technologies

• SAS
• R
• SQL
• Hive
• Teradata
• Hadoop
• Microsoft Office
• Excel
• PowerPoint
• Informatica