Company
Technology
DigitalStrategyDataAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Digital Strategy Data Analyst. Skills: Data analysis, Business intelligence, Strategy consulting. Analyze large datasets. Generate actionable insights”
What You'll Achieve.
Support business growth; Support client success
Industry & Context.
Translating complex data
What They're Looking For.
Must Have
Proven experience in data analysis, Proficiency in SQL, Proficiency in Python, Proficiency in Excel, Experience in data modeling, Experience working with large-scale datasets, Bachelor’s degree in Data Science, Bachelor’s degree in Computer Science, Bachelor’s degree in Economics, Bachelor’s degree in Engineering
Nice to Have
Experience in digital intelligence, Experience in mobile analytics, Experience in market intelligence platforms, Background in consulting, Background in technical account management, Background in data-driven product environments, Familiarity with experimentation, Familiarity with data-driven project management, Familiarity with advanced analytics techniques, Experience managing enterprise clients, Experience supporting enterprise clients, Experience managing high-profile clients, Experience supporting high-profile clients
What You'll Do.
Analyze large datasets
Generate actionable insights
Develop data-driven narratives
Deliver strategic recommendations
Design innovative use cases
Support business growth
Support client success
Collaborate cross-functionally
Build analytical solutions
Translate analytical outputs
Provide insights for proposals
Provide analysis for proposals
Provide insights for presentations
Provide analysis for presentations
Explore new data opportunities
Explore new methodologies
Enhance analytical capabilities
Enhance product value
How You'll Work.
Team & Collaboration
Cross-functionally with engineering; Cross-functionally with sales; Cross-functionally with client-facing teams; With engineering teams; With sales teams; With client success teams
Communication Scope
Data-driven narratives; Clear insights; Compelling insights; Data storytelling
Full Job Description
## Accountabilities Analyze large and complex datasets to generate actionable insights on digital markets, competitors, and consumer behavior across multiple industries. Develop and deliver data-driven narratives and strategic recommendations to internal stakeholders and external enterprise clients. Design and implement innovative use cases leveraging digital intelligence data to support business growth and client success. Collaborate cross-functionally with engineering, sales, and client-facing teams to build integrated analytical solutions. Support client engagement activities by translating analytical outputs into clear business value and strategic impact. Contribute to sales enablement efforts by providing insights, analysis, and data storytelling for proposals and presentations. Continuously explore new data opportunities and methodologies to enhance analytical capabilities and product value. Requirements: Proven experience in data analysis, business intelligence, strategy consulting, or similar analytical roles, ideally in SaaS or technology environments. Strong proficiency in SQL, Python, Excel, and data visualization tools such as Tableau or Power BI. Experience in data modeling and working with large-scale datasets. Demonstrated ability to translate complex data into clear, compelling insights and narratives for diverse audiences. Experience working in cross-functional environments, including collaboration with engineering, sales, and client success teams. Strong strategic thinking with a track record of identifying new opportunities and creating data-driven business value. Experience managing or supporting relationships with enterprise or high-profile clients is highly valued. Bachelor’s degree in Data Science, Computer Science, Economics, Engineering, or related fields. Nice to have: Experience in digital intelligence, mobile analytics, or market intelligence platforms. Background in consulting, technical account management, or data-driven product environ
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