Job#: 3021290
Job Description:
Senior Analytics Engineer / Senior Data Analyst (AI & Cloud Analytics)
Department: Data & Analytics
Location: Downtown Tower - On site Mon-Thu; Remote Fri
Type: 6 Month Contract
Education: Bachelor's Degree required for conversion
Interview Process
Interview process: 30 minute on site, single round interview.
Overview
This team is responsible for delivering analytics and insights across Supply Chain, Cybersecurity, and Enterprise Risk Management. The team is undergoing significant modernization as they build the Helix Data Platform on Google BigQuery, with a strategic shift away from legacy BI report centric analytics (Tableau/Power BI) and toward AI enabled, semantic layer driven insight generation.
Due to a recent reorganization and attrition, the team is down approximately six headcount compared to last year. Skillsets on the current team are also not aligned with the future state of the program. To support this transformation, the team needs at least two Senior Analytics Engineers with strong data science and AI foundations who can serve as independent, consultative problem solvers.
Why This Role Matters
This position directly impacts the modernization of the client's enterprise analytics ecosystem, enabling the organization to leverage AI driven insights, improve operational efficiency, and accelerate the transformation of critical business functions.
Role Summary
This role will focus heavily on building the semantic data asset layer that powers the Helix platform, enabling downstream AI agents, LLM powered search, and reusable enterprise logic. The ideal candidate has deep SQL, semantic modeling, and practical AI knowledge - with enough Python to automate and augment analytical workflows.
While not responsible for building new Tableau dashboards, this role will reverse engineer existing Tableau/Power BI logic and rebuild it as reusable BigQuery based semantic components designed for both traditional analytics and AI/LLM use cases.
Key Responsibilities
Semantic Layer Development (Primary Focus)
Build robust semantic data models within Google BigQuery, forming the foundational data asset layer for the Helix platform.
Reverse engineer business logic currently embedded in Tableau/Power BI reports and reconstruct it as centralized semantic layer logic.
Ensure semantic structures support AI consumption, including LLM context windows, training datasets, and agentic workflows.
AI & LLM Related Responsibilities
Apply practical AI skills:
o Understanding of LLM behavior, training and tuning considerations, and dataset preparation.
o Working with Gemini foundation models and selecting appropriate models for each use case.
o Performing prompt engineering for optimized LLM output.
Partner with data engineers and product teams to ensure datasets and semantic structures are ready for AI agents, generative search, and NLP-driven insights.
Analytics Engineering & Data Processing
Write advanced SQL for data modeling, transformations, and logic reconstruction.
Use Python for lightweight data processing, scripting, and automation.
Perform small scale ingestion of ad hoc sources (Excel, SharePoint) when needed.
Stakeholder Engagement & Requirements Gathering
Work collaboratively with IT stakeholders, business users, and product owners in Supply Chain, Cybersecurity, and Enterprise Risk.
Lead conversations, clarify requirements, and independently drive analytical problem solving.
Act as a consultant style contributor: proactive, self directed, and comfortable navigating ambiguity.
Collaboration with Data Engineering
Partner closely with the Data Engineering team, who owns large scale pipelines and ingestion.
Understand pipeline capabilities and limitations and know when to handle smaller ingestion or transformation tasks directly.
Reporting Tool Knowledge (Contextual, Not Primary)
Understand Tableau/Power BI concepts sufficiently to trace logic embedded in reports.
Rebuild that logic into the BigQuery semantic layer that Helix will utilize.
No development of new dashboards is required.
Required Skills & Qualifications
Bachelor's Degree (mandatory for conversion).
7+ years of analytics, data modeling, or analytics engineering experience.
Very strong SQL skills - ability to build complex data models and logic layers.
Python scripting for data preparation and workflow automation.
Semantic data modeling experience (warehouse centric or metric layer centric).
Understanding of BI tools (Tableau/Power BI) to translate existing logic into semantic components.
AI/LLM knowledge, including:
o Prompt engineering
o Foundation model selection (Gemini or equivalent)
o Dataset preparation for LLM tuning or fine tuning
Experience with Google BigQuery, Gemini, or equivalents on other cloud platforms (AWS Redshift/Bedrock, Azure OpenAI).
Strong interpersonal and communication skills; ability to work directly with business and IT stakeholders.
Nice to Have Skills
Experience supporting Supply Chain, Cybersecurity, or Enterprise Risk data domains.
Familiarity with cloud native AI tools or agentic frameworks.
Prior consulting experience or roles requiring high autonomy.
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: apexsan
- Position Id: BHJOB2374_3021290
- Posted 2 hours ago
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