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SeniorAnalyticsEngineer,GoToMarketData
“Senior Analytics Engineer, Go-To-Market Data at LinkedIn. Skills: Data Architecture, Analytics Engineering, SQL, Python. Lead high-impact data initiatives. Partner closely with Sales and business stakeholders”
What You'll Achieve.
enable the Marketing Strategy & Technology organization to make better decisions; improve operations; drive business impact; make workflows simpler and more effective for business users; measurable business outcomes; reliability; adoption; business impact; operational outcomes; self-service insights; clear ownership; decision-making; execution; scalable system design; technical practices; operational excellence
Industry & Context.
translate ambiguous problems into scalable solutions
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Data Science, Information Systems, Statistics, Applied Mathematics, Engineering, Business Analytics, or equivalent practical experience, 6+ years of experience delivering data and analytics solutions in a business environment, 4+ years of experience using SQL and distributed data technologies (e.g., Trino, Presto, Spark SQL) to design, build, and optimize large-scale datasets and data workflows, 4+ years of experience designing and operating scalable, reliable data foundations, including data modeling, monitoring, data quality, governance, or operational ownership, Experience partnering with business stakeholders to translate ambiguous requirements into scalable technical solutions and measurable business outcomes, 1+ years of experience working with GenAI technologies and frameworks (e.g., LLM APIs, agent frameworks, AI-enabled analytics workflows)
Nice to Have
Passion for applying AI and data capabilities to improve business decision-making and operational efficiency, Experience leading large-scale data initiatives, including architecture design, migrations, operating model improvements, or cross-functional transformation efforts, experience with modern data platforms and distributed systems (e.g., Spark, Hadoop, Airflow, InDBT, cloud data ecosystems), Experience designing business-critical datasets, data products, or self-service analytics solutions with clear ownership and adoption strategies, Familiarity with BI and visualization tools (e.g., Tableau, Power BI) and best practices in data modeling, governance, and documentation, Demonstrated ability to influence and align business, engineering, and data stakeholders, including presenting technical concepts to senior leadership, Experience working with CRM and go-to-market data ecosystems (e.g., Salesforce, Microsoft Dynamics, sales, marketing, or advertising data domains), Track record of improving data usability, trust, reliability, and operational efficiency through scalable system and process design, Comfortable operating in ambiguous, fast-paced environments with a bias toward action
What You'll Do.
Lead high-impact data initiatives
Partner closely with Sales and business stakeholders
Architect and evolve reliable
business-critical datasets
Identify opportunities to simplify the data ecosystem
Establish analytics engineering best practices
Define and measure success
Drive adoption of trusted data products
Influence and align business
and data stakeholders
How You'll Work.
Team & Collaboration
Partner closely with Sales, Strategy & Operations, Engineering, and Data teams; Influence and align business, engineering, and data stakeholders; Cross-functional teams
Communication Scope
presenting technical concepts to senior leadership
Process & Methodology
Lead high-impact data initiatives from strategy through execution
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