Analytics Engineer

Client name will be disclosed by the account manager as this is a private search.

No job hoping or contracting backgrounds. We cannot consider these profiles so please do not send them.

Ideal Candidate:

Strong background in designing, developing, & working with users in creating analytical reports

Must be well-versed with Power BI and Tableau

Must also have SQL experience

Law firm experience is a plus. Must have professional services experience.

Power BI or MS Certification in Azure is a plus

Analytics Engineer – (Remote if located in DC, NYC , Boston or Chicago) – 1735

Location: Remote only if you live in DC, NYC, Boston or Chicago - The team is currently remote, but that could change at any time.

Salary: varies by location

Position Type: Permanent; Direct hire

Residency Requirements: US Citizens and all other parties authorized to work in the US are encouraged to apply.

Position Overview

We are looking for an Analytics Engineer to take ownership of our business intelligence ecosystem, with an emphasis on delivering impactful solutions in Power BI . This individual will design, manage, and refine a portfolio of interactive dashboards, compelling data visualizations, and actionable reports for diverse audiences, including business leaders and legal teams. A key initiative for this role will be overseeing the phased migration of Tableau and Alteryx assets into Power BI while ensuring that existing platforms remain effective throughout the transition.

Primary Duties & Responsibilities

Build and enhance Power BI dashboards, reports, and visualizations that translate complex datasets into clear, meaningful insights.

Oversee administration of the Power BI platform, including workspace setup, access management, security protocols, and performance governance.

Collaborate closely with stakeholders to understand requirements and deliver scalable analytics solutions that support strategic decision-making.

Lead the conversion of existing Tableau dashboards and Alteryx workflows into Power BI, ensuring functionality, performance, and usability.

Maintain and fine-tune legacy Tableau and Alteryx solutions during the migration process.

Advocate for and apply best practices in data visualization , dashboard performance tuning, and user experience design.

Develop training materials, documentation, and guidance to foster self-service analytics adoption.

Work with data engineering and governance teams to uphold data quality, security, and compliance standards.

Monitor emerging capabilities in Power BI, Microsoft Fabric , and related technologies to drive innovation and platform improvement.

Required Qualifications

Advanced proficiency in Power BI (including DAX, Power Query, row-level security, and shared dataset management).

Strong skills in data modeling, visualization design, and performance optimization for large-scale data environments.

Hands-on experience with Tableau and Alteryx , particularly in development and migration contexts.

Solid background in SQL and working with relational databases or data lake environments.

Familiarity with Microsoft Fabric , Power Platform, Azure Synapse, or SQL Server integration patterns.

Understanding of BI governance, metadata standards, and security/access control mechanisms.

Excellent communication and stakeholder engagement skills, with the ability to translate technical concepts into business value.

Minimum of five years of experience in business intelligence, analytics engineering, or data visualization roles.

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related discipline.

Experience working within professional services or legal industry settings.

Preferred Attributes

Certification in Power BI or Microsoft Azure.

Proven track record in driving BI adoption and enabling self-service analytics across an organization.

They must be well-versed with Power BI and Tableau and have a background in various analytical tools from an admin perspective in terms of how the tools work, how they get configured, how to optimize for performance, etc.