Fidelity Bank · 1 day ago
Senior Manager, Advanced Data Analytics and Insights
Westlake, TX
Full-time
Hybrid
Mid, Senior Level
3+ years expFidelity Bank is seeking a Senior Manager for Advanced Data Analytics and Insights. This role involves utilizing data analytics platforms to create automated analytics solutions and generate impactful insights from large datasets, ultimately improving customer experience and supporting business decision-making.
Customer ServiceFinanceBankingCrypto & Web3Property & Casualty InsuranceBitcoinFinancial ServicesInsuranceWealth Management
Responsibilities
Improves customer experience using graph analytics methodologies, cross channel engagement, and transactional and behavior patterns
Develops a broad range of statistical measurement tools and techniques that will result in key findings for highly complex projects
Supports democratization of data among business partners
Creates self-serve data visualization tools that enable business decision making
Delivers analytic and visualization capabilities that enable business partners to transform data into impactful insights
Develops and implements techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
Applies data mining, data modeling, NLP, and machine learning (ML) to extract and analyze information from large structured and unstructured datasets
Visualizes, interprets, and reports data findings
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) performing advanced analytics and measurement using statistical and Artificial Intelligence (AI) methods, to generate insights by processing complex data and coding, using Python, Cypher, and SQL
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) performing advanced analytics and measurement using statistical and Artificial Intelligence (AI) methods, to generate insights by processing complex data and coding, using Python, Cypher, and SQL
Demonstrated Expertise (“DE”) generating insights for customer service strategy and customer experience touchpoints by extracting, transforming, and analyzing unstructured and semi-structured data; quantifying true digital Straight Through Processing (STP) rate across multiple channels and touchpoints, using Neo4j and Snowflake; texting content (call and chat transcripts and social posts) and customer-entered feedback (surveys and online tool interactions), using NLP; and integrating data from various sources and internal data warehouses by creating standards and repeatable workflows -- Elasticsearch, Snowflake, AWS, and Oracle -- to process at scale
DE quantifying and monitoring customer trends across channels by developing customer journeys, using Neo4j hosted on AWS, Cypher, and visualization tools – NeoDash, Neo4j Bloom, Tableau, Power BI, Qlik Sense, and Excel; and furnishing actionable insights that enable business decisions through 360-degree customer data mining, using Cloud technologies – Elasticsearch, Snowflake, Oracle, and AWS
DE parsing, summarizing, and visualizing customer activities across digital and live channels, using Python, Tableau, and Graph Database (Neo4J); tying engagements to financial or operational transactions, using SQL and Python packages; supporting and informing client service strategies by performing statistical analysis and data extraction, transformation, and summarization, using statistical methods (inferential statistics, hypothesis testing, and A/B testing) and data analytics software (Python, SQL, or Elasticsearch)
DE planning, designing, and implementing diverse Business Intelligence (BI) dashboards, using querying and graph tools to visualize the data – NeoDash, Tableau, Qlik Sense, and Power BI; and querying and analyzing data to produce insights (NeoDash, Neo4j Bloom, Tableau, Qlik Sense, and Power BI), using BI dashboards
Company
Fidelity Bank
Fidelity Bank is a commercial bank providing services financial sercvices.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2018-12-17Acquired
2014-09-01Private Equity
Company data provided by crunchbase