Data Engineer/Data Analyst Associate - Business Transformation
Listed on 2026-07-27
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IT/Tech
Data Analyst, Data Science Manager, Data Engineering, Business Systems & Technology Analysis
Experience a 45X+ Award-Winning Culture!
Embarkers enjoy:
- Work-life integration:
We encourage our team to balance work with personal life. 95% of our employees feel they can take time off when necessary - Growth and development:
We offer continuous learning opportunities, including CPE credits and coaching, to support our employees' professional growth and ensure they execute excellently for clients - Award-winning culture:
Recognized for our outstanding workplace environment, we prioritize the happiness and well-being of our team
Embark isn't your ordinary consulting firm. We're committed to cultivating a workplace where everyone can thrive—where happiness is at the core of our success. Where Happy Works. Our team is dedicated to solving complex problems for finance, accounting, HR, and technology leaders with forward-thinking solutions and unparalleled hospitality. Here are a few reasons why 93% of Embarkers agree that we offer special and unique benefits:
- Unlimited PTO:
Enjoy unlimited PTO to recharge and pursue your passions - Comprehensive healthcare: 100% paid premiums for you and your family
- Whole human growth: $150 monthly stipend for holistic development
- Career advancement:
Access to CPE credits, learning platforms, coaching, and professional development - Financial support:
Up to 3% 401(k) matching and financial advisory services - Team and community engagement:
Monthly social events within your market, charitable matching, and great people!
What you'll be doing:
This role will be instrumental in developing and maintaining scalable data infrastructures that are foundational for advanced analytics and data-driven decision-making. Working within Embark's Data & Analytics practice, this associate will support client engagements that span data strategy, integration, and reporting - often for clients with a strong finance and accounting orientation. This role is ideal for someone with a solid technical foundation in data architecture and engineering, who is eager to grow in a client-facing, consulting environment.
Key Responsibilities:
- Assist in designing, building, and maintaining efficient and reliable data pipelines using tools such as Fivetran, Snowflake, Azure Data Factory, and Databricks
- Support the implementation of data management systems to meet business and technical requirements
- Work collaboratively with data engineers and analysts to optimize data collection, transformation, and processing
- Help build and maintain reports and dashboards (Power BI, Tableau) that translate raw data into client-facing insights, supporting the handoff from data engineering to business intelligence
- Contribute to the integration of new data management technologies and software engineering tools
- Help maintain data security and compliance according to industry standards
- Participate in troubleshooting and resolving issues in data pipelines
- Help evaluate and integrate new data management technologies, software tools, and AI-powered analytics and automation solutions to improve efficiency and insight generation
- Communicate effectively with client stakeholders - including finance and accounting teams - to understand requirements and translate them into technical solutions
- Support multiple client engagements simultaneously in a fast-paced, MVP-driven delivery model
Required Qualifications:
- Bachelor's degree in Data Analytics, Data Science, Computer Science, or a related program
- 0–2 years of relevant experience in a data engineering or analytics role; management consulting experience a plus
- Proficiency in SQL
- Experience with, or strong interest in, cloud data platforms such as Snowflake and Databricks
- Familiarity with Microsoft data & analytics tools (Azure Data Factory, Azure Synapse, SQL Server) a plus
- Experience with programming languages such as Python, Java, or Scala
- Exposure to BI/visualization tools (Power BI, Tableau) preferred
- Familiarity with or interest in AI/ML tools and their application to data analytics is a plus
- Interest in or exposure to ERP and finance systems (e.g., Net Suite) a plus
- Strong problem-solving abilities and a detail-oriented mindset
- Excellent communication skills, with comfort engaging directly with client…
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