Data Analytics & Engineering Consultant Manager

10xTalents; Piscataway Township (NJ); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading consultancy firm in New Jersey is seeking a Data Analytics & Engineering Consultant Manager to lead a team of data analytics engineers and oversee analytics projects. The ideal candidate should have at least 7 years of experience in data analytics and 3 years managing professionals, with strong skills in SQL, PowerBI, and data governance. This role involves mentoring the team, managing project deliverables, and ensuring data security and quality standards are met.

Qualifications

• 7 years of RDBMS and data analytics experience, with 3+ years managing data analytics professionals.
• Excellent project management and organizational skills for multiple projects.
• Solid understanding of data governance, data quality, and security best practices.

Responsibilities

• Lead and mentor a team of data analytics engineers.
• Oversee execution of data analytics projects ensuring adherence to timelines.
• Communicate technical concepts to non-technical stakeholders.

Skills

SQL

PowerBI

Data governance

Data security

Analytical skills

Education

Bachelor's or Master's degree in Computer Science, Data Science, or related field

Tools

Snowflake

dbt

Airflow

Keboola

Job description

Data Analytics & Engineering Consultant Manager

Our client is seeking an experienced and dynamic Data Analytics Engineering Consultant Manager to join their fast growing team. In this role, you will be responsible for overseeing a team of data analytics engineers, driving data-driven decision-making processes, and ensuring the successful delivery of data analytics projects. The ideal candidate will possess both hands‑on technical expertise in data analytics tools and prior experience managing a team of skilled professionals.

Responsibilities

• Team Management:
  • Lead and manage a team of data analytics engineers, providing guidance, support, and mentorship to ensure their professional growth and project success.
  • Collaborate with cross‑functional teams to understand project requirements and allocate resources effectively.
  • Set clear goals and performance expectations for the team, conducting regular performance reviews and feedback sessions.
• Data Analytics Project Management:
  • Oversee the end-to-end execution of data analytics projects, ensuring adherence to timelines, budget, and quality standards.
  • Work closely with clients and internal stakeholders to define project scopes, objectives, and deliverables.
  • Monitor project progress, identify risks, and implement mitigation strategies to ensure successful project completion.
• Technical Expertise:
  • Possess hands‑on expertise in SQL, PowerBI are essential to provide technical guidance and support to the team.
  • Evaluate and implement best practices in data analytics, data visualization, and data engineering techniques.
  • Stay abreast of industry trends, emerging technologies, and advancements in data analytics to drive innovation within the team.
• Data Governance and Security:
  • Ensure compliance with data governance policies and data security measures to safeguard sensitive information.
  • Develop and maintain data quality standards to ensure accuracy and reliability of insights generated from data analytics projects.
• Stakeholder Communication:
  • Communicate complex technical concepts and data‑driven insights to non‑technical stakeholders in a clear and concise manner.
  • Collaborate with clients and internal teams to understand business requirements and translate them into actionable data solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience (7 years) in RDBMS and data analytics experience along with (3+ years) directly managing data analytics professionals.
• Strong proficiency in SQL, PowerBI and (Snowflake, dbt, Airflow, or Keboola) for data querying, analysis, and visualization.
• Experience in data engineering, data warehousing, and ETL processes.
• Excellent project management and organizational skills, with the ability to handle multiple projects simultaneously.
• Solid understanding of data governance, data security, and data quality best practices.
• Strong analytical and problem‑solving skills, with the ability to derive actionable insights from complex data sets.
• Exceptional communication and presentation skills, with the ability to convey technical concepts to non‑technical audiences.