Analytics Engineer

Hybrid 4 days on site in New York, NY

The mission of the Analytics Engineering team at our client is to enable, facilitate, and develop their ability to make data-driven strategic decisions. We are looking for Analytics Engineers to build and own domain datasets that will power insights, executive reporting, and strategic initiatives. This individual contributor role will focus on developing AE’s nascent partnerships with stakeholders across the org, aligning and collaborating closely with the Strategy and Business Intelligence team to ensure business objectives are measured and insights developed. You will spend most of your time collaborating with stakeholders to translate business needs into analytical datasets, owning the end-to-end data lifecycle and enabling self-serve analytics across the organisation. If you enjoy going deep into data, getting creative to uncover insights and solve problems, and seeing the real-world downstream impact of your data in strategic decisions, this role is a great opportunity to dive in and shape the future of data here.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $55.00 to $65.00/hr. w2

• Liaise and partner with Data/Business Analysts, Data Scientists, Data Engineers, and other stakeholders to translate business requirements into actionable analytics datasets.
• Design and implement scaled data architecture that enables analysis and data-driven decision making across one or more data domains.
• Design, implement, and maintain scaled data pipelines to ensure high-quality, reliable, and sustainable data delivery processes.
• Design and implement data quality checks and anomaly detection for dataset certification and KPI computation accuracy.
• Establish and refine the data catalogue and semantic layer to ensure proper usage by non-technical stakeholders and AI systems.
• Collaborate with Strategy and Business Intelligence partners on dashboard and reporting designs and implementations that support key strategic decisions.
• Monitor and optimize workflows for performance and cost efficiency.
• Apply data governance, security, privacy, and hygiene best practices across the data lake to ensure purpose-appropriate usage and PII compliance.
• [Senior] Drive alignment and make key technical decisions around data architecture and presentation layers for cross-functional use.
• [Senior] Provide feedback and technical coaching, and run design and code reviews.
• [Senior] Mentor and support junior and contingent talent.

• Bachelor’s Degree in Computer Science, Information/Data Science, Operations Research, Econometrics, a relevant technical field, or equivalent practical experience.
• [Junior] 2+ or [Mid-level] 5+ or [Senior] 8+ years in roles focused on data modeling, building data artifacts and pipelines, and scaling self-serve analytical capabilities.
• [Junior] 2+ or [Mid-level] 5+ or [Senior] 8+ years with SQL, ETL/ELT, data modeling, and at least one programming language, with Python preferred.
• Strong understanding of data lakehouse principles and modern data architecture.
• Strong communication skills to build stakeholder relationships and drive alignment.
• Preferred: Advanced degree in a STEM field.
• Preferred: Experience designing and implementing reports and dashboards using technologies such as Microsoft Power BI, Looker, or Tableau.
• Preferred: Strong experience in AWS services such as Athena, S3, Glue, Lake Formation, and Lambda.
• Preferred: Experience with or contributions to Apache projects including Airflow, Arrow, Hudi, Iceberg, Parquet, and Spark.
• Preferred: Expertise in performance tuning and capacity management for big data systems.
• Preferred: Experience in Marketing or Sports data domains.
• Preferred [Senior]: Experience evaluating big data technologies and systems to define strategic technical and architectural direction.

Bachelor’s Degree in Computer Science, Information/Data Science, Operations Research, Econometrics, a relevant technical field, or equivalent practical experience.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening  and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( View email address on careers.eliassen.com , Show phone number) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact  View email address on careers.eliassen.com .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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