ITT is an industrial manufacturer of critical, engineered components that serve fast-growing end markets in transportation, flow, energy, aerospace and defense. The company’s differentiation is sustained through a combination of several factors: execution, the quality of its leadership and our DNA as an engineering leader. We have a clear purpose as an organization: to provide our customers with cutting-edge solutions to help solve their most critical needs.
The company generated 2023 revenues of $3.3 billion and is comprised of three distinct segments:
Motion Technologies ($1.5B revenue) is a global leader in brake pads, shock absorbers and sealing solutions for the automotive and rail marketsIndustrial Process ($1.1B revenue) is a global leader in centrifugal and twin-screw pumps for the chemical, energy, mining and industrial marketsConnect & Control Technologies ($0.7B) is a niche player in harsh environment connectors and control components in critical applications for the aerospace, defense and industrial markets.ITT is headquartered in Stamford, Connecticut with over 10,000 employees in more than 35 countries and sales in approximately 125 countries.
Position SummaryAre you an Analytics Engineer with a passion for data?
Do you enjoy working across the entire data stack to design end-to-end solutions that turn data into actionable insights?
Do you want to be part of a global industry leader?
At ITT, we are looking for an Analytics Engineer to join our dynamic team. In this role, you will be responsible for designing analytics dashboards, developing and maintaining data pipelines and building data models that help the business make data-driven decisions. This position offers the unique opportunity to work with cloud data technologies, enabling you to have a comprehensive impact on the organization’s data strategy.
Essential ResponsibilitiesTo succeed in this role, you will need to:
Be curious and eager to work across the entire data stack, from data ingestion to data visualizationBe open to learn and explore data analytics techniques and toolsHave a strong problem-solving mindset and a passion for data-driven insightsThrive in a fast-paced environment with evolving prioritiesPossess excellent communication skills and the ability to collaborate across teams
More specifically you will:
Design and implement data models to support business analytics and reportingWork closely with data engineers and business stakeholders to understand data requirements and deliver scalable data solutionsBuild interactive dashboards and reports using Power BI to provide actionable insightsBe part of the development and maintenance of cloud data pipelines that ingest, clean, transform, and store data from various internal and external sourcesEnsure data quality and governance practices are followed throughout the data lifecycleWork with SQL, Python, and Azure Data technologiesCollaborate with business units to design self-service analytics solutions, enabling users to create their own reports and analysesStay up to date with the latest trends in data analytics, continuously improving tools, processes, and best practices on Azure Position Requirements 2+ years of experience in data analytics, or a similar roleExperience in data modeling and database design for reporting and analytics use casesExperience in data visualization tools, more specifically Power BI with a focus on designing user-friendly dashboardsSolid knowledge of SQL and Python for data processing, data analysis and transformation tasksHands-on experience with cloud data platforms, preferably AzureExperience working in agile development environments and be a collaborative team playerA team-oriented mindset and a passion for data-driven innovation
Preferred Qualifications:
Experience with version control tools (git), working in dev and production environmentsFamiliarity with data governance practices to ensure data accuracy, consistency, and securityExposure to data science concepts for analytics will be considered a plus
Education:
Bachelor’s Degree in Computer Science, STEM or a related fieldData Analytics, Data Science or Data Engineering certifications / bootcamps / Master’s degree are a plus