techtorch - Business Analyst Data Practice US
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Requirements
• Bachelor's degree in Business, Information Systems, Computer Science, or a related field. Advanced degree a plus. • 3–4 years of relevant experience, ideally gained at a management consulting firm (Accenture, Deloitte, PwC, or equivalent) or a professional services organization specializing in data. • Demonstrable experience on business intelligence, data visualization, or AI-adjacent delivery projects. • Exposure to multi-geography or multi-level data complexity (e.g., consolidating data across business units, regions, or enterprise systems). • Experience working on Commercial Excellence, ERP, CRM, or data warehouse implementations is a strong asset. • Proficiency in data visualization tools: Tableau and/or Power BI required. • Working knowledge of SQL for data querying and validation. • Understanding of data modeling concepts: conceptual and physical models, dimensional hierarchies, aggregation logic, and data quality frameworks. • Familiarity with data platforms (e.g., Snowflake, Azure, AWS) and how they fit into a modern data stack. • Proficiency in Excel and PowerPoint for analysis and stakeholder communication. • Familiarity with project management tools such as JIRA, Confluence, or MS Project. • Dual fluency: equal comfort discussing KPI strategy with a CFO and reviewing a data model with a data engineer. • Strong structured thinking and analytical problem-solving skills. • Excellent written and verbal communication, with the ability to present complex data concepts clearly to non-technical audiences. • Ability to manage competing priorities across multiple workstreams without losing attention to detail. • A collaborative, low-ego approach — you contribute, enable, and elevate the team. • Certified Business Analysis Professional (CBAP), PMI-PBA, or equivalent. • Microsoft or Tableau certification in data analytics or BI tools.
Responsibilities
• Data Requirements & Business Translation • Engage with client stakeholders across business functions to identify data needs, KPI definitions, and reporting objectives. • Translate business problems into structured data use cases, defining the questions that analytics and BI deliverables must answer. • Document data requirements, business rules, and logic in formats accessible to both business and technical team members. • Identify upstream data issues (poor data models, aggregation inconsistencies, hierarchy mismatches) that affect downstream reliability. • Data Analysis & Insight Delivery • Perform data profiling and validation to assess data quality and flag issues for data engineering and architecture teams. • Develop dashboards, reports, and data visualizations (Tableau, Power BI) that communicate findings to executive and operational stakeholders. • Analyze trends and patterns across client datasets to surface actionable insights in support of EBITDA improvement and revenue growth goals. • Ensure accuracy and integrity of all analytical outputs through structured QA processes. • Stakeholder Collaboration & Communication • Act as a liaison between client business units, TechTorch delivery managers, and technical data teams. • Facilitate workshops and working sessions to align stakeholders on data definitions, reporting priorities, and success metrics. • Communicate project progress, data risks, and issue resolution clearly and proactively to all stakeholders. • Build trusted relationships with client contacts, positioning yourself as a knowledgeable and credible data partner. • Solution Design Support • Collaborate with data engineers and architects on source-to-target mappings and conceptual data model reviews — you identify the problem, specialists solve it. • Contribute to functional specifications, user stories, and acceptance criteria for BI and data platform builds. • Support UAT and post-deployment validation to confirm solutions meet business requirements. • Process & Delivery Improvement • Continuously evaluate client data processes to identify gaps, redundancies, and improvement opportunities. • Contribute to TechTorch's internal knowledge base, documenting reusable frameworks and lessons learned. • Support delivery managers in tracking milestones, managing scope, and coordinating cross-functional workstreams.
Benefits
• TechTorch offers a rare combination: the intellectual rigor of consulting, the tangibility of in-house delivery, and the outsized impact of working inside PE-backed companies at critical inflection points. You will work alongside high-caliber teammates, have direct access to senior client stakeholders from day one, and build a portfolio of data projects that drive real, measurable business outcomes.
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