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Top Data & Analytics Jobs in Boston, MA
Healthtech • Software
As an Analytics Engagement Associate, you will work with clients to gather technical requirements and provide data-driven solutions. Responsibilities include managing client projects, tracking customer satisfaction, identifying upsell opportunities, and ensuring successful adoption of Definitive Healthcare's services.
Top Skills:
SQL
Other • Robotics • Design • Appliances • Manufacturing
As the Director of Data Science & Analytics, you will lead a team in driving data strategies, utilizing advanced analytics and machine learning to identify insights and inform decision-making across sales, marketing, and operations. You will collaborate with teams to optimize Amazon marketplace strategies and report performance metrics to senior leadership.
Top Skills:
PythonRSQL
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
In this role, you will lead a team to develop a digital twin of Chewy's fulfillment network, employing AI to optimize operational costs, while managing a complex ecosystem of systems and processes. You will drive the strategy and architecture of the digital twin project and navigate challenging problems.
Top Skills:
AIMachine Learning
Featured Jobs
Artificial Intelligence • Cloud • Information Technology • Software • Big Data Analytics • Automation
The Lead Data Analyst at Dynatrace will analyze data using statistical techniques to assess service performance and drive decisions. Responsibilities include collaborating with stakeholders, creating analytics infrastructure, and automating analyses. The role requires strong problem-solving and interpersonal skills to provide actionable insights to influence business strategy and optimize performance.
Top Skills:
StatisticsTrend Analysis
Big Data • Healthtech • Software
As an RFP Analyst at Arcadia, you will manage the entire RFP process, collaborate with cross-functional teams, and create compelling proposals to support the sales strategy. You will ensure submissions are timely and align with strategic goals, while maintaining quality and compliance standards throughout.
Aerospace • Artificial Intelligence • Computer Vision • Machine Learning • Software • Defense • Generative AI
The Proposal Specialist will lead the proposal creation and submission process for national security R&D projects, coordinating teams and ensuring compliance with client requirements while developing effective proposal strategies. Responsibilities include authoring proposals, managing schedules and timelines, and analyzing proposal metrics to capture new business opportunities.
Top Skills:
MS Office
Fintech • Software
The Operations Analyst will support managed account business operations services with tasks such as reconciliations, account administration, performance oversight, and client onboarding while collaborating with internal teams. The role requires hands-on processing and effective client communication.
Cloud • Information Technology • Sales • Security • Software • Cybersecurity
The Customer Success Data Scientist will work on building an account health model by analyzing data from various sources to monitor customer health and improve product adoption. Responsibilities include developing large datasets, using predictive analytics, creating dashboards, and collaborating with technical teams to inform customer engagement strategies.
Top Skills:
PythonR
Cloud • Edtech • Information Technology • Software
The Data Governance Administrator will enhance Pluralsight’s data strategy through data analysis, regulatory compliance, and data quality improvements. Responsibilities include managing data governance applications, leading complex projects, and collaborating with teams to implement governance policies and standards. The role entails performing data quality audits, managing stakeholder communications, and developing metrics for governance activities.
Top Skills:
SQL
eCommerce • Information Technology • Retail • Software
The Senior Revenue Operations Analyst will collaborate with sales, marketing, finance, and customer success teams to drive data-driven decision making. Responsibilities include supporting pricing modeling, enhancing operational efficiencies, ensuring data quality, and providing insights through quantitative analysis.
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