Sr Analytics Consultant - 61437301313

Location: Fully Remote (Must be willing to work US hours)
Team: Technology
Reports to: Head of Data & AI

About the Company

We are an early-stage, venture-backed technology company building a new category of AI-driven analytics and coaching software for sales and post-sales teams.

Our platform goes beyond traditional dashboards by transforming data from across business systems into actionable insights that improve efficiency, performance, and revenue outcomes. Founded in 2022 and recently closed on a $3M seed round (over $5M total raised), we are entering a high-growth phase — a small, fast-moving team applying modern data and AI techniques to solve complex, real-world business problems.

About the Role

This is not a back-end data role. As a Senior Analytics Consultant, you will sit at the intersection of data engineering and direct client engagement — spending a majority of your time in implementation conversations with customers and the rest translating their business needs into scalable, product-ready data infrastructure.

You will be a key part of how customers experience the platform: understanding what they need, designing the data models and pipelines that deliver it, and ensuring that what we build actually solves real problems. This role exists because our ability to scale customer outcomes depends on someone who can bridge the technical and the human side of data — someone who speaks fluent SQL and fluent stakeholder.

Key Responsibilities

Customer-Facing Implementation

• Lead and participate in data implementation conversations directly with customers
• Translate customer business requirements into clear, accurate analytical outputs
• Serve as a trusted technical resource during onboarding and ongoing engagement
• Communicate data logic, limitations, and solutions clearly to non-technical stakeholders

Data Engineering & Pipeline Development

• Design, build, and maintain scalable ETL/ELT pipelines that power core product functionality
• Develop analytics-ready data models that unify and structure data from disparate sources
• Transform raw data from APIs (CRMs, ticketing systems, communication platforms, etc.) into clean, aggregated datasets
• Contribute to data warehouse architecture and query performance optimization

Product & Cross-Functional Collaboration

• Partner with Product and Engineering to define data requirements and embed analytics into the platform
• Define and implement product analytics metrics aligned to customer business goals
• Research and prototype new tools and techniques to improve analytical capability and scalability
• Champion data quality, integrity, and governance across all workflows

Required Qualifications

• 4+ years of experience in a data role with meaningful external or internal stakeholder-facing responsibility — business data analyst, BI developer with business exposure, data consultant, or similar
• Expert-level SQL skills
• Strong experience designing and building ETL/ELT pipelines
• Deep understanding of data modeling and data warehousing concepts
• Experience with cloud data platforms (Snowflake, BigQuery, Redshift, or similar)
• Ability to convert raw data into product-ready analytical insights
• Excellent verbal and written communication skills — you can explain data to people who don't work in it
• Comfortable working across U.S. time zones (PT, MT, CT, or ET)
• Proven ability to operate with urgency in a fast-moving, ambiguous environment

Preferred Qualifications

• Familiarity with orchestration and transformation tools (dbt, Airflow, or similar)
• Hands-on experience integrating data from business APIs (Salesforce, Zendesk, Slack, Google Workspace, etc.)
• Background in management consulting, client services, or implementation roles with a data component
• Python or R experience for scripting, exploration, or automation
• Exposure to machine learning or advanced analytics concepts
• Experience partnering with Customer Success teams on metrics and reporting

Ideal Candidate Profile

You are someone who has always operated at the intersection of data and people. You are technically strong — comfortable in SQL, confident in data modeling — but what sets you apart is that you can walk into a client meeting, understand what a business is actually trying to solve, and design a data solution around it.

You thrive when you own outcomes end-to-end. You move fast without sacrificing quality, communicate with clarity across technical and non-technical audiences, and have the professional maturity to represent a company directly in front of customers.

You are not looking for a role where you hand off work to someone else to explain. You want to be in the room.

Why Join

• Direct Product Impact: Your work shapes the customer-facing analytics experience — not internal reporting, not BI dashboards no one sees
• Customer Ownership: Rare for a data role — you'll own relationships and outcomes, not just pipelines
• Foundational Stage: Join at a pivotal point in the company's growth with significant influence over how the data function scales
• Modern Stack: Work on meaningful data and AI challenges with real-world applications
• Collaborative Culture: A small, high-trust team that values ownership, speed, and clarity