Job Description:

Position Description:

Generates analytical and data insights to drive business actions using SQL, Qlik/Tableau, Python, and R. Creates complex, automated analytics solutions using Text Mining and Natural Language Processing (NLP) tools. Extracts and analyzes complex information from large structured and unstructured datasets using data mining and data modeling, NLP, and Machine Learning (ML). Creates and manages Elasticsearch indexes and develops queries using KQL (Kibana Query Language) and DSL (Domain Specific Language). Creates custom visualizations in Kibana and Tableau. Analyzes large volumes of structured and unstructured data in Elasticsearch.

Primary Responsibilities:

Cleans and manipulates large volumes of raw data for analysis by statistical software.

Improves data analytics and insights capabilities using Adobe analytics.

Formulates and applies mathematical modeling and other optimizing methods to develop and interpret information that assists with decision making.

Delivers presentations of mathematical modeling and data analysis to management and other end users.

Oversees daily, weekly, and monthly reporting cycles across analytic environments.

Analyzes large data sets to develop new processes, perform calculations, identify anomalies, and/or product new reporting capabilities.

Mentors junior team members.

Works in a fast-paced environment delivering tactical and strategic technology solutions.

Establishes and project management data analytics and insights projects.

Contributes to the estimation, planning, analysis, design, and development of projects.

Fosters innovative technology solutions to resolve complex business problems.

Education and Experience:

Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Information Systems Management, Mathematics, Physics, or a closely related field and five (5) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) performing data analysis and writing code using SQL and Python programming languages.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Information Systems Management, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) performing data analysis and writing code using SQL and Python programming languages.

Skills and Knowledge:

Candidate must also possess:

Demonstrated Expertise (“DE”) generating insights for customer service strategy and customer experience touchpoints by extracting, transforming, and analyzing unstructured and semi-structured data -- text content (call/chat transcripts, social post) and customer-entered feedback (surveys and online tool interactions) -- using Natural Language Processing (NLP), LLM models/algorithms to identifying sentiment, extracting entities, text summarization, and performing text classification; 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 activities across channels by developing customer journeys using data preparation and visualization tools -- Power BI, Tableau, Kibana and Excel; and furnishing actionable insights that enable business decisions through 360-degree customer data mining using Cloud technologies – Elasticsearch, Snowflake, Oracle, and Amazon Web Services (AWS).

DE identifying key trends and customer behaviors that influence business decisions by building hypothesis for mining digital or live channel data in AWS and Snowflake EDL, using SQL, Python, Elasticsearch and Amazon Web Services (AWS) technologies -- Athena, Glue, Sage maker, Kibana, S3, Quicksight, and API Gateway.

DE parsing, summarizing, and visualizing customer journeys across digital or live activities using Python, Tableau, Postman, and API methodologies; 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 within the financial services industry-- using statistical methods (inferential statistics, hypothesis testing, and A/B testing) and data analytics software (Python, SQL, Elasticsearch).

#PE1M2

Certifications:

Company Overview

Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients’ money.

Join Us

At Fidelity, you’ll find endless opportunities to build a meaningful career that positively impacts peoples’ lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees’ Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don’t need a finance background to succeed at Fidelity—we offer a range of opportunities for learning so you can build the career you’ve always imagined.

Fidelity's working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks).

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document, and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.

We invite you to Find Your Fidelity at fidelitycareers.com.

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to accommodations@fmr.com.