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Fidelity Bank · 1 month ago

Senior Manager, Data Analytics and Insights

Boston, MA

Full-time

Hybrid

Mid, Senior Level

$137K/yr - $166K/yr

3+ years exp

Fidelity Bank is a financial services company seeking a Senior Manager for Data Analytics and Insights. The role involves developing strategies and providing actionable insights through data analysis and visualization to support various teams within the organization.

BankingBitcoinCustomer ServiceFinancial ServicesInsuranceWealth Management

Responsibilities

Supports a robust Business Intelligence (BI) platform

Supports an agile inter-disciplinary team by providing product development, customer experience, marketing, and technology support

Confers with data processing or project managers to obtain information on limitations or capabilities for data processing projects

Consults with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance

Devises development standards, offering guidance on best practices and pitfalls in data visualization technology

Participates in development efforts for data visualization dashboarding, including data extraction from multiple reporting sources

Liaises with internal technology teams to develop and enhance capabilities of tools and data feeds

Actively collaborate with cross-functional teams to drive continuous improvement and innovation, aligning data strategies with organizational goals

Mentors junior team members

Qualification

Data AnalysisPythonTableauExcelETL PipelinesData VisualizationAgile EnvironmentData CleaningPowerPointGitNumpyPandasBusiness RequirementsMentoring

Required

Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, Business Administration, Data Science or a closely related field and five (5) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing data analysis to derive insights from large datasets using Excel, Python, and Tableau

Or, alternatively, Master's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, Business Administration, Data Science or a closely related field and three (3) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing data analysis to derive insights from large datasets using Excel, Python, and Tableau

Demonstrated Expertise (“DE”) assembling, cleaning, and organizing large data sets from disparate sources; conducting exploratory data analyses; and identifying areas of missing or incomplete data and detecting salient patterns and signals in the data using Excel, Tableau, and Python Libraries (Numpy and Pandas)

DE extracting, transforming, and analyzing unstructured and semi-structured data to derive insights from multivariate data sets using Excel; and summarizing key insights and actionable take-aways for go-to-market and sales strategies of financial products to technical and non-technical audiences using PowerPoint

DE analyzing, pivoting, organizing and presenting multi-dimensional data using Excel; developing and executing automation process for data loading and template populating by setting up ETL pipelines using Python; and transforming data outputs into Excel and PowerPoint for internal and external stakeholders

DE developing, interpreting and executing business requirements to create data solutions using Python; documenting data processes and specifications using Word; and building or migrating data analytics processes onto virtual cloud-based machines using Python and Git