Key Responsibilities
Lead end-to-end analytics workstreams, owning planning, requirements, prototyping, development, testing, deployment, and adoption for Sigma solutions.
Own the technical approach, backlog, and sequencing of work to deliver high-quality, scalable analytics solutions aligned to each client’s business context and data environment.
Facilitate client working sessions to clarify ambiguous business needs, define analytical requirements, align stakeholders on priorities and risks, and drive decisions.
Design and develop Sigma workbooks, dashboards, governed datasets, and self-service analytics experiences that enable business users to explore and act on data.
Apply strong SQL, data modeling, and data visualization practices to connect Sigma solutions to cloud data warehouses, data marts, and analytical data structures.
Establish quality standards for analytics deliverables, reviewing solutions for technical quality, usability, performance, scalability, and alignment to best practices.
Recommend governance, security, access, workspace, and operating-model practices that support enterprise-scale Sigma adoption.
Analyze, troubleshoot, and optimize data models, workbooks, reports, platform configurations, and deployment issues when required.
Manage client expectations through clear status reporting, proactive communication, feedback loops, and transparent escalation of risks and dependencies.
Partner with account and practice leaders to identify new use cases, extension opportunities, and reusable accelerators that deepen client value and support growth of the Analytics practice.
Lead or mentor consultants and contribute to staffing, utilization, delivery planning, workstream budgets, and overall project performance.
Support backlog development and ongoing enhancement of analytics solutions after initial implementation.
About You
You are a client-focused analytics practitioner who enjoys leading delivery, solving complex data problems, and creating practical, well-designed solutions. You bring strong technical judgment, executive presence, and the ability to move comfortably between business strategy, analytics architecture, hands-on development, and team leadership.
You are comfortable operating in distributed, global teams and partnering with colleagues and clients across time zones.
Required Qualifications
Experience
7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions in an enterprise environment.
3+ years of external consulting experience, including ownership of client-facing analytics projects or workstreams from kickoff through completion.
Technical / Functional Skills
Demonstrated expertise designing and delivering analytics solutions with Sigma, including workbook development, data exploration, visualization, and self-service analytics experiences.
Strong SQL skills and experience working with cloud data warehouses, data marts, semantic models, and analytical data structures; Snowflake experience is preferred.
Strong understanding of data modeling, metric definition, visualization design, performance optimization, and analytics architecture.
Experience establishing or operating Sigma governance practices, including access management, security, workspace organization, deployment practices, and platform administration.
Demonstrated ability to translate ambiguous business needs into clear analytical requirements and communicate recommendations, tradeoffs, and risks to technical and business stakeholders.
Exceptional customer-facing communication, facilitation, project management, and stakeholder-management skills.
Strong problem-solving skills with a passion for learning and mastering new technologies, techniques, and procedures.
Preferred Qualifications
Preferred qualifications help candidates stand out but are not required for success in this role.
Experience scaling Sigma across an enterprise, including governance, adoption, operating models, performance, and platform optimization.
Experience leading teams of consultants and contributing to utilization planning, staffing plans, workstream-level budget management, and project delivery.
Experience with data preparation and transformation using Alteryx, KNIME, Matillion, Dataiku, Coalesce, or similar tools.
Experience with Snowflake, Tableau, Power BI, Power Platform, or other modern data and analytics platforms.
Experience developing reusable analytics accelerators, frameworks, templates, enablement materials, or internal points of view.
Experience contributing to solution estimates, proposals, discovery activities, and the growth of a consulting practice.
Why phData?
Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.
Benefits at phData
US
Remote-First Work Environment
401k plan with company match
Dental and Vision insurance
Home Office Equipment Stipend
Annual stipend for Learning and Development
Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
