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Analytics Engineer

We are looking for continuous learners that love to solve tough problems using data. You will gain exposure to a wide range of industries where you will gather requirements and turn ambiguous requests into clear, thoughtful data models using a wide range of technologies both in the cloud and on-premise. You write top-notch SQL code that is clear, concise, and documented along the way.

Our ideal team member loves interacting with a wide variety of clients, exploring new problems in Client ways and contributes to a supportive, cross-functional environment while being self-directed. They take pride in their work yet are humble and open to feedback from all, with a curiosity and desire to expand and deepen their skillset.

Candidates starting or early in their career will go through extensive training and receive as much support as needed. Experienced hires are expected to have strong client facing skills and have the foundations and motivation to quickly learn the modern technologies we're using to deliver solutions.

Daily and Monthly Responsibilities
  • Gather stakeholder requirements with a focus on understanding business processes, not just fields and tables
  • Work with diverse teams to map source data to target models.
  • Integrate data from a variety of source systems
  • Build data models with a focus on continuous improvement via client feedback. We love client feedback at every step of the process so we can be sure our final product is a success.
  • Leverage a variety of best-in-class tools.
  • Assist clients on their data journey from outdated systems and poorly documented code towards modern data platforms that allow them to scale

Required Skills and Qualifications
  • 1-2 years of experience implementing real world data warehousing solutions
  • You are a SQL rockstar with experience writing CTEs, stored procedures, and breaking apart complex code into individual components
  • Strong communication and presentation skills are necessary for interacting with clients and presenting solutions
  • Understanding of common data modeling methodologies as follows:
    • Dimensional Modeling Strong understanding required
    • Data Vault Preferred, but not required
    • Data Mesh Bonus round!
  • Familiarity with CI/CD and git
  • Ability to develop and deliver creative solutions to meet business needs
  • Familiarity with cloud technologies. Some of our favorites are:
    • Snowflake
    • Databricks
    • Dbt
    • Some experience with Azure or AWS tools
  • Experienced with data profiling to understand data quality, primary/foreign key relationships, cardinality, partitioning, and table design
  • Python or similar object-oriented language preferred


Our Company
Axis Group is the Analytics Enablement company. With more than twenty years of experience providing data and analytics consulting services and innovative solutions to enterprises and government organizations, we unleash analytic potential throughout the data lifecycle from data management, governance, visual design and platform migration to digital transformation, predictive analytics, automation and beyond. Axis Group combines business acumen, leadership, and industry-specific experience with technical expertise to tackle tough data problems in order to enable better business outcomes. In addition, we partner with leading data and analytics technologies to deliver the right solutions at the right time. We have experts in: ThoughtSpot, Snowflake, Power BI, Dataiku, VoiceBase and StreamSets, among others. We have regional offices in Atlanta, GA and Berkeley Heights, New Jersey.

Axis Group is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or, any other characteristic protected by applicable law. All candidates must be legally authorized to work in the United States. Axis Group will not consider Visa Sponsorship for this position.

Last updated on Sep 21, 2023

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