Job Description
Position Description :
Extracts and analyzes complex information from large structured and unstructured datasets using data mining / modeling, Natural Language Processing (NLP), and Machine Learning (ML) techniques.
Develops and drives strategic analytical initiatives to optimize internal operations. Proactively anticipates and predicts clients' needs and future behaviors using data, analytics, customer research, and Artificial Intelligence (AI) solutions.
Navigates across a wide range of data sources and systems to deliver analytic and visualization capabilities that enable business partners to transform data into impactful insights using industry-leading analytics approaches (database / digital analytics and data visualization tools).
Primary Responsibilities :
Elicits, captures, and interprets customer problems from multiple perspectives across projects or within multiple programs.
Establishes and project manages analysis plans for multiple complex work streams.
Provides systems analysis on an Agile team across business units.
Transforms large volumes of data into impactful insight on digital interactions, customer feedback, call transcripts, customer profile attributes, and transactions for highly complex projects.
Authors and shares impactful insights to inform business decisions.
Provides recommendations on areas of opportunity to improve customer experience by analyzing cross-channel engagement, transactional, and behavioral data.
Provides technical leadership in model evaluation, tuning, and performance to ensure the operationalization and scalability of scientific techniques.
Champions innovative technology solutions to resolve complex business problems.
Mentors junior team members.
Acts as a primary liaison for business units to resolve various project / technology issues.
Establishes full project life cycle plans for one or more complex projects.
Develops and implements techniques or analytics applications to transform large amounts of raw data into meaningful insights .
Visualizes, interprets, and reports large, complex data findings.
Creates complex dynamic data reports.
Education and Experience :
Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, 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 analytics and customer insights in the financial services, healthcare, or technology industry.
Or, alternatively,Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, 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 analytics and customer insights in the financial services, healthcare, or technology industry.
Skills and Knowledge :
Candidate must also possess :
Demonstrated Expertise ( DE )performing data cleaning and modeling on raw data (customer, behavioral, and geographic) from relational databases, using SQL and Python;
creating advanced visualization modules; and automating and updating dashboards using Qlik Sense and Power BI.
DEinterpreting needs requirements within an Agile environment to identify existing gaps in data availability; and articulating roadmaps and prioritizing the migration of structured and unstructured data from SQL, flat files, and API sources using ETL tools (SSIS and Azure Data Factory) to be made available in data warehouses (Azure Data Lake and Snowflake) for analytical purposes.
DE designing and implementing digital measurement strategies, reporting, and analytics adding or modifying features to improve customer experiences to drive business decisions and recommendations, using Adobe Analytics, Pendo, Adobe Target, and ContentSquare.
DE providing analytical support to uncover emerging customer pain points using disparate customer data (digital interactions, customer feedback, call transcripts, customer attributes, and transactions) to translate information into executive-level insights (PowerPoint and Excel) and inform key business strategies related to digital marketing, customer acquisition / servicing, new product launches, and experience enhancements.
PE1M2
Certifications :
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