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Company

Original Job Post

Spring & Bond · 2 days ago

Director, Business Intelligence

New York, NY

Full-time

Onsite

Director

$140K/yr - $160K/yr

10+ years exp

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Responsibilities

Drive Spring & Bond’s reporting and analytics program

Serve as the liaison to the VP, Business Intelligence, and collaborate closely with the data engineering team, strategy team, and cross-office peers to enhance Spring & Bond’s data initiatives, analytics programs, and practices

Lead cross-functional projects using data modeling and analysis techniques to uncover insights that guide strategic decisions

Examine, interpret, and communicate the results and business impact of analytical initiatives to key internal stakeholders and client teams

Support omnichannel initiatives and coordinate with marketing technology on methodology and execution of customer campaigns

Develop and own analysis approaches for engagement activities, targeting analysis, reporting, and ad hoc requests with a focus on omnichannel

Develop models and synthesize recommendations on the best path forward for specific products

Oversee projects and provide guidance to project teams on research and client-related issues

Own and direct all aspects of client development and direction, ensuring client satisfaction with project deliverables

Manage direct reports and mentor staff outside of direct report responsibility

Provide subject matter expertise to internal and external customers

Qualification

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TableauSQLSyndicated Data SourcesAnalytical ConceptsStatistical TechniquesData MiningPredictive AnalyticsData CollectionData SystemsProject ManagementProblem-SolvingCommunicationInterpersonal SkillsTeamwork

Required

Minimum of 10 years of analytics and reporting experience, with a background in pharmaceutical and digital marketing (combination of client and agency experience preferred)

Expertise with Tableau and programming languages like SQL

Familiarity with syndicated data sources (e.g., IQVIA, claims data, etc.)

Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations

Excellent communication, interpersonal, and management skills

Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources

Strong problem-solving, quantitative, and analytical abilities

Demonstrated ability to prioritize and manage workload and meet project deadlines

Must enjoy working in a demanding environment as a key member of a dynamic, team-based organization