Senior Data Analyst

Code and Theory is hiring Data Analysts within our Intelligence team — providing the quantitative backbone for engagements that range from pipeline strategy and account development to data ecosystem audits and partner program design. You'll be deployed across the firm's strategic engagements, embedding with teams and client partnerships to produce the analysis that shapes decisions.

This is not a reporting role. You'll be the person in the data producing the evidence that shapes strategic decisions: pulling CRM exports and finding the patterns that tell us directions to pursue, auditing data ecosystems and mapping where information breaks down across systems, building the analysis that turns a hypothesis into a case for action.

Some deployments are commercially focused: account research, pipeline analysis, market sizing, competitive intelligence, and the quantitative inputs that power go-to-market strategy. Others are infrastructure-focused: auditing how data flows across CRM, partner portals, and marketing platforms, assessing data quality, mapping integration gaps, and building the analytical foundation for operating model design.

We're hiring multiple people into this role. Each will have a primary deployment, but the analytical skills are transferable across engagement types — the person who can map pipeline conversion patterns can also map data ecosystem gaps. What's consistent is that you're working with real data to produce real findings that directly inform what the team does next.

WHAT YOU'LL DO

• Conduct deep-dive quantitative research on target accounts: financial performance, technology investments, market positioning, growth signals, and competitive dynamics
• Analyze pipeline data to identify conversion patterns, stall points, and whitespace across account portfolios
• Produce the quantitative inputs for account prioritization: deal size estimates, market sizing, competitive threat assessment, propensity-to-engage scoring
• Build and maintain structured account research databases — clean, current, and accessible to strategists and engagement teams
• Support business consultants with the data behind their recommendations: when they build the case for why a prospect should engage, you produce the evidence
• Data ecosystem auditing and mapping
• Audit data sources across client environments: CRM systems, partner portals, marketing platforms, deal registration systems, account mapping tools, and field intelligence
• Map how data actually flows — where it's captured, who owns it, how reliable it is, where it breaks down, and where silos prevent connected decision-making
• Assess data quality: completeness, accuracy, consistency, timeliness, and fitness for the analytical and operational purposes it needs to serve
• Produce data ecosystem maps and gap analyses that become the foundation for architecture and operating model recommendations
• Trace attribution and measurement paths: how pipeline, revenue, and partner influence are tracked today vs. how they need to be tracked
• Analysis and intelligence
• Build financial models, market sizing analyses, competitive benchmarks, and scenario analyses that inform strategic recommendations
• Produce the quantitative sections of client deliverables: findings decks, assessment reports, business cases, and program reviews
• Design and build reporting frameworks: define what to measure, how to collect it, and how to present it so decision-makers can act on it
• Support measurement strategy development: help define KPIs, establish baselines, and build the tracking methodology for ongoing programs
• Conduct primary data collection when needed: surveys, structured interviews, and field data gathering
• Dashboard and reporting development
• Build and maintain dashboards and reporting tools that make data accessible and actionable — pipeline trackers, program health scorecards, competitive positioning monitors, and performance dashboards
• Integrate data from multiple sources into unified views: CRM, social listening, media monitoring, partner platforms, and internal tracking systems
• Iterate on reporting based on stakeholder feedback — the first version is never the last version

WHAT YOU'LL NEED

• 5-7 years in data analysis, business intelligence, or analytics roles — ideally within management consulting, enterprise technology, SaaS, or professional services environments
• Demonstrated experience working with CRM data (Salesforce strongly preferred), marketing platforms, and/or partner ecosystem tools (Crossbeam, partner portals, deal registration systems)
• Track record of producing analysis that directly informed strategic or commercial decisions — not just reporting on what happened, but shaping what happened