Senior Manager, Data Analytics and Insights - 2076217

Company: Fidelity Investments
Location: Durham, NC
Posted on: May 10, 2023

Job Description:

Position Description:

Defines and improves current campaign metadata configuration process. Builds self-serve dashboards to assist stakeholders track and analyze campaign audiences. Provides thought leadership on campaign, experimentation analytics, and strategies to evolve experimentation platform. Performs interactive queries in Web-based Cloud storage services environments and ensures application data is insightful and actionable using Snowflake, Amazon Web Services (AWS), Athena, and Tableau. Tracks platform activity and generates reports to improve efficiencies using experimental design and measurement and Adobe Analytics. Cleans, analyzes, and graphs data for statistical computing using Python and R. Develops and drives experimentation analytics. Develops analytic methods, experimentation, and data analytics to improve customer experiences and deliver relevant content.

Primary Responsibilities:

Collaborates with stakeholders to streamline campaign and experimentation metadata configuration process.

Provide peer leadership to drive the strategy and development of experimentation and campaign management platform.

Partners with key stakeholders to analyze their business questions and deliver self-service experimentation solutions.

Performs validation and testing of models to ensure adequacy and reformulate models as necessary.

Collaborates with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.

Presents the results of statistical modeling and data analysis to management and end users.

Formulates and applies statistical modeling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions.

Collects and analyzes data and develops decision support software, services, or products.

Elicits, captures, and interprets customer problems from multiple perspectives across projects or within a program.

Establishes and project manages analysis plans for multiple and moderately complex work steams.

Holds accountability for integration into larger, multi-disciplined projects, as appropriate.

Education and Experience:

Bachelors degree (or foreign education equivalent) in Business Analytics, Project Management, Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field and five (5) years of experience in the job offered or five (5) years of experience performing data analytics and insights in a large cross-channel enterprise environment.

Or, alternatively, Masters degree (or foreign education equivalent) in Business Analytics, Project Management, Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field and three (3) year of experience in the job offered or three (3) year of experience performing data analytics and insights in a large cross-channel enterprise environment.

Skills and Knowledge:

Candidate must also possess:

Demonstrated Expertise (DE) writing advanced SQL in Web-based Cloud storage services environments -- Microsoft Azure and AWS; building data visualizations to answer strategic questions, extract actionable insights, build datasets for ad hoc, and recurring analysis, using Tableau; and preparing data to empower end users using data sources -- marketing campaign metadata, customer profile data, customer interaction data, and transaction data.

DE driving the strategy and adoption of analytic products, and providing thought leadership on translating complex business needs into efficient analytical plans in an Agile work environment; extracting analytic insights to drive strategy for marketing, experimentation, campaign measurement, customer segmentation, customer acquisition, and engagement domains, using R, Python, Adobe Analytics, Tableau, and Microsoft Excel; and testing business hypothesis to assist decision-making using statistical methods in R.

DE formulating, validating, testing, and applying Machine Learning (ML) methods to predict customer activities, optimize marketing strategies, and assist management with decision making and policy formulation, using statistical and ML packages (H2O, Caret, Xgboost, randomForest, Scikit-Learn, SciPy) and functions in R and Python.

DE evaluating data availability and usability for current marketing metadata, customer, and transaction data, using data catalog in Cloud-based technology environment and Snowflake; and proposing improvements on existing data modeling and processing for informed business stakeholder decisions, using data-flow diagram to enhance data quality and interpretability.

For full job details and to apply, please visit https://jobs.fidelity.com/ and search job number: 2076217.

Keywords: Fidelity Investments, Durham , Senior Manager, Data Analytics and Insights - 2076217 , Finance , Durham, NC, North Carolina