Campus Pride Jobs

Job Classification:
Technology - Data Analytics & Management
Are you passionate about delivering customer focused solutions? Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? Our team takes great pride in our culture where digital transformation is built into our DNA! When you join the Global Technology organization at Prudential, youll unlock an exciting and impactful career all while growing your skills and advancing your profession at one of the worlds leading financial services institutions.
As a Director, Data Analytics, you will join a team of change agents who specialize in ensuring that data is secure and protected, accessible, understood, of known quality, and can be effectively used in support of business goals. You will consult with business stakeholders to understand business needs/challenges and deliver actionable analytics/insights solutions. Engage with business to answer targeted analytical questions and generate insights from data. Analyze large data sets (structured, unstructured) to identify insights and patterns/trends using a variety of analytical techniques (descriptive, diagnostic, prescriptive). Develop presentations and other deliverables to synthesize and communicate key insights and advise with recommendations to drive business outcomes. In addition to deep analytical expertise, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.
Here is what you can expect on a typical day :
Deliver and execute on vision and strategy and communicate success stories effectively to key stakeholders, the team, and enterprise. Identify and advise on opportunities to leverage data analytics solutions in existing portfolio and expand in new areas to drive significant business outcomes. Consult and communicate effectively and consistently with business partners to proactively identify needs, prioritize, and deliver solutions
Demonstrates thought leadership and expertise across Data Analytics disciplines. Present solutions and influence executive leadership from different business units and functions to generate excitement and gain consensus.
Develop and oversee initiative/program roadmaps ensuring that measurable OKR's, milestones, resource plans (human and technical), and ROIs that represent ongoing impact and value. Deliver a portfolio of initiatives ensuring the strategic direction and outcomes of the businesses are reflected in the execution of these initiatives
Understand the data and insights consumption patterns and develop best in class solutions across the enterprise. Ensure customer-driven solutions & usability test results, while leveraging industry knowledge. Identify new tools and techniques to solve complex business challenges.
Identify, hire, train, and retain talent with critical technical and business experience required to execute each initiative/capability. Develop/maintain/motivate a high performing team
The Skills & Expertise You Bring:
Bachelor of Computer Science or Engineering; Analytics; or experience in related fields
Ability to lead independently with minimal guidance and effectively leverage diverse ideas, experiences, thoughts, and perspectives to the benefit of the organization
Deep knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business
Data Analytics & Insights: Analyzing structured and unstructured data to identify insights, patterns, discrepancies, anomalies, and business trends ; Integration of data from disparate sources (internal/external) ; Ability to synthesize results and make business recommendations.
Statistics and Computing: Strong knowledge of Probability, Statistics, Mathematics, Computer Science
Data Visualization: Working knowledge of using data visualization tools: Tableau , Power BI , Metric Insights, Excel
Data Wrangling: Preparing data for further analysis; Transforming and mapping raw data to generate insights ; Processing of large datasets (structured, unstructured) ; Data wrangling through DataRobot or programming/coding: Python, SQL, SAS, R, etc.
Database Management System: Understanding and knowledge of big data tools: Hadoop, Spark, Hive ; Understanding and knowledge of cloud technology: AWS services
Significant experience and/or deep expertise with several of the following:
Effective Communication: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
Decision-Making & Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
Interpersonal Relationships: Knowledge of the techniques and the ability to work with a variety of individuals and groups in a constructive and collaborative manner.
Agile Methodologies: Knowledge of concept and principles of agile methodology; ability to apply appropriate agile approaches in the processes of software development and delivery.
Data Storytelling: Ability extract actionable insights via data analysis/dashboards to tell a story and present a summary of the key findings to stakeholders.
Consultative Skills: Engage with business partners to uncover business needs/challenges and deliver actionable analytics/insights solutions to drive business outcomes.
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Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity