Senior Analytics Engineer

Data Direct Networks; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Vacation plans

Paid holidays

Bonus programs

Tuition reimbursement

Employee referral

Medical, dental and vision benefits

Paid leave programs

Awards and recognition

Job summary

Data Direct Networks in the United States seeks a Senior Analytics Engineer to own transformation and modeling for the enterprise data platform. You’ll turn data from Salesforce, Workday, product systems, and other sources into trusted datasets used by Sales, Finance, Product, and Operations.

You’ll collaborate with data engineers and analysts to design dbt models, ensure data quality, and build Sigma data models and BI layers for self-serve analytics.

Qualifications

• 5+ years in analytics engineering, data engineering, or a similar data-focused role.
• Strong SQL expertise with complex queries and performance tuning.
• Experience building data models and BI content for analytics.
• Hands-on in cloud data warehouses and transformation pipelines.
• Excellent communication to translate technical concepts for business users.

Responsibilities

• Own data modeling to transform raw data into analytics-ready datasets.
• Maintain data quality with testing, monitoring, and documentation.
• Build and maintain Sigma data models and BI semantic layers.
• Collaborate with stakeholders to translate analytical needs into scalable data models.

Skills

SQL

Python

Data modeling

Data quality

Communication

Education

Bachelor’s degree in a quantitative field

Tools

dbt

Sigma

Looker

BigQuery

Snowflake

Redshift

Job description

We are on our way to being the first company to power 1 MILLION GPUs and want world-class talent to join our amazing team!

The world is moving faster than ever, and yet, it will never move this slowly again. We are at the forefront of an incredible technological revolution but, at its core, it is fueled by incredible people. People like you.

1,000 Global Employees

11kHappy Customers

16International Offices

We’re Looking for the Best and Brightest

We are the world’s leading data intelligence platform that reliably accelerates massive datasets for actionable real-time insights. Join our team to help the best and brightest minds tackle the world’s biggest challenges in business, science, medicine, academia and government.

Do What Can’t be Done

For the past 20 years, our team has kept us at the forefront of storage technology and has provided the foundation for enabling researchers to push the limits of “what can be done.”
These innovations take research and discovery to the next level, enabling them to discover cures to disease, observe global warming patterns, model innovative automotive and aerospace designs, discover new sources of energy, make communities safer, and accelerate business results across a wide variety of industries.

DDN Helps Build Your Future, Too

At DDN, we understand our customers’ diverse needs. Whether you’re a data scientist, IT professional, executive, or researcher, our solutions empower you with cutting-edge technology and unparalleled support.

Highly Competitive Vacation Plans

Paid Holidays

Bonus Programs

Tuition Reimbursement

Employee Referral Program

Excellent Medical, Dental and Vision Benefits

Paid Leave Programs

Anniversary and Recognition Awards

Location

Employment Type

Full time

Location Type

Hybrid

Department G&A Business Technology Data & Analytics

We’re looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDN’s enterprise data platform. You’ll turn raw data from Salesforce, Workday, product systems, and other sources into trusted, well-documented datasets that stakeholders across Sales, Finance, Product, and Operations actually use to make decisions. You’ll work closely with data engineers who manage ingestion and infrastructure, and with analysts and business partners who consume what you build.

What You’ll Own

Data modeling — design, build, and maintain dbt models that transform raw data into clean, reliable datasets for analytics and reporting

Data quality — implement and maintain testing, monitoring, and documentation so stakeholders can trust what they’re looking at

BI & semantic layer — build and maintain Sigma data models and workbooks that give business users self-serve access to data

Collaboration — partner with business stakeholders to understand their analytical needs and translate them into scalable, maintainable data models; work with data engineers on source data requirements

Your Experience Includes

5+ years in analytics engineering, data engineering, or a similar data-focused role

Expert-level SQL including experience with complex joins, window functions, CTEs, and performance tuning

Strong experience with dbt for building and maintaining transformation pipelines

Hands-on experience with a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar)

Understanding of dimensional modeling and data warehouse design patterns

Experience building and maintaining BI content (dashboards, data models, semantic layers) in tools like Sigma, Looker, or similar

Strong Python skills for data analysis, automation, or pipeline work

Solid understanding of data quality practices including testing, monitoring, documentation

Strong communication skills and demonstrated ability to translate technical concepts for business stakeholders

Bachelor’s degree in a quantitative field or equivalent practical experience

Nice to Have

Experience with Sigma Computing specifically

Familiarity with data quality frameworks (e.g., Elementary, Great Expectations)

Familiarity with data governance practices — PII handling, access controls, documentation standards

Experience with version-controlled, CI/CD-driven analytics workflows

Prior experience in a small data team where you wore multiple hats

We pride ourselves on our commitment to delivering tangible and consistent results.

Regional Director of Sales, Middle East and Africa

Let’s Forge a Better Future, Together