Analytics / Data Engineer

Siri InfoSolutions Inc

New York (NY)

On-site

USD 90,000 - 150,000

Full time

7 days ago
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Job summary

Siri InfoSolutions Inc. in New York, NY is seeking an Analytics / Data Engineer to design and maintain data pipelines, transform data with dbt and SQL, and deliver reliable analytics models.

You will collaborate with analytics and engineering teams, build dashboards in Looker or Tableau, and contribute to data quality controls while exploring AI and enterprise intelligence applications.

Qualifications

  • 1–3 years of experience in analytics engineering, data engineering, or a related field.
  • Proficiency in SQL; experience with dbt or similar transformation tools a plus.
  • Familiarity with data warehousing concepts and analytics best practices.
  • Strong attention to detail and commitment to data quality.
  • Ability to work collaboratively in a fast-paced, team-oriented environment.

Responsibilities

  • Contribute to the development of data transformation logic and maintain existing data models using dbt and SQL.
  • Write and optimize SQL queries for data transformation and analysis.
  • Assist in implementing and maintaining data quality checks and testing procedures.
  • Contribute to documentation of data models, transformations, and business logic.
  • Develop and maintain reports and dashboards to surface actionable insights.
  • Support the delivery of business and operational metrics in partnership with Analytics and senior team members.

Skills

SQL
Data quality
Collaboration
Analytics engineering
Data modeling

Tools

dbt
BigQuery
Looker
Tableau
GCP
AWS
Databricks

Job description

HI

Greeting of the day

Role

Analytics / Data Engineer

Location

New York, NY

Job Type

Full Time Employment

Must Have Technical/Functional Skills
Required

1 3 years of experience in analytics engineering, data engineering, or a related field

Proficiency in SQL; experience with dbt or similar transformation tools a plus

Familiarity with data warehousing concepts and analytics best practices

Strong attention to detail and commitment to data quality

Ability to work collaboratively in a fast-paced, team-oriented environment

Preferred

Exposure to cloud data platforms (GCP, AWS, Databricks, BigQuery)

Experience with BI/visualization tools (Looker, Tableau, or similar)

Interest in AI, machine learning, and enterprise intelligence applications

Data Transformation & Modeling

Contribute to the development of data transformation logic and maintain existing data models using dbt and SQL

Write and optimize SQL queries for data transformation and analysis

Assist in implementing and maintaining data quality checks and testing procedures

Contribute to documentation of data models, transformations, and business logic

Analytics & Reporting

Develop and maintain reports and dashboards using visualization tools to surface actionable insights

Support the delivery of business and operational metrics in partnership with Analytics and senior team members

Collaboration & Growth

Work jointly with team members and stakeholders to accomplish shared outcomes

Participate in cross-functional meetings to understand business requirements and translate them into data needs

Build collaborative relationships across engineering and analytics teams

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