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Executive Predictive Analytics Jobs in Delaware (NOW HIRING)

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Executive Predictive Analytics information

What are the key skills and qualifications needed to thrive as an Executive in Predictive Analytics, and why are they important?

To thrive as an Executive in Predictive Analytics, you need advanced expertise in statistical analysis, data modeling, and business strategy, usually supported by a degree in data science, statistics, or a related field. Familiarity with analytics platforms such as SAS, R, Python, and big data tools, as well as certifications like Certified Analytics Professional (CAP), is highly beneficial. Exceptional leadership, communication, and strategic decision-making abilities set standout executives apart in this field. These skills enable leaders to drive data-informed organizational growth, align analytics initiatives with business objectives, and foster innovation across teams.

How does an Executive Predictive Analytics professional typically collaborate with other departments to drive business outcomes?

An Executive Predictive Analytics professional often works closely with teams across marketing, finance, operations, and IT to align advanced analytics initiatives with broader business goals. They translate complex data insights into actionable strategies, facilitating data-driven decision-making at the executive level. Regular cross-functional meetings and workshops are common to ensure that predictive models are integrated into business processes and that stakeholders understand their impact. Collaboration is key, as these executives must communicate technical findings in an accessible way to influence strategic planning and organizational change.

What are Executive Predictive Analytics?

Executive Predictive Analytics refers to the use of advanced data analysis techniques and machine learning models by organizational leaders to forecast future business outcomes and inform strategic decisions. Executives use predictive analytics to anticipate market trends, identify risks and opportunities, and optimize resource allocation. This role requires a combination of business acumen, data science knowledge, and the ability to translate complex data into actionable insights for high-level decision-making.

What is the highest paying job in data analytics?

In data analytics, executive roles such as Chief Data Officer (CDO) or Vice President of Data often have the highest salaries, especially in large organizations. These positions require extensive experience, strategic leadership skills, and expertise in data management, analytics tools, and business integration.

What is the difference between Executive Predictive Analytics vs Data Scientist?

AspectExecutive Predictive AnalyticsData Scientist
Required CredentialsOften requires advanced degrees in business, analytics, or related fields; certifications in analytics toolsTypically requires degrees in computer science, statistics, or mathematics; certifications in programming and data analysis
Work EnvironmentStrategic, executive-level settings; focuses on business impact and decision-makingTechnical environment; involves data modeling, coding, and statistical analysis
Employer & Industry UsageUsed in corporate strategy, finance, marketing, and operations departmentsEmployed across tech, finance, healthcare, and research organizations

While both roles involve data analysis and predictive modeling, Executive Predictive Analytics focuses on strategic insights for leadership decision-making, whereas Data Scientists handle technical data modeling and algorithm development. The roles often overlap but differ mainly in scope and target audience.

Is 40 too late for data science?

For an Executive Predictive Analytics role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data management. Age diversity is common in the field, and employers value expertise and practical knowledge over age.

Is predictive analytics a good career?

Predictive analytics is a strong career choice for those interested in data analysis, statistics, and machine learning. It involves developing models to forecast future trends, often requiring skills in programming, data management, and tools like Python or R. The demand for professionals in this field is growing across industries such as finance, healthcare, and marketing.

Is AI taking over analytics jobs?

Executive Predictive Analytics roles involve using AI and machine learning tools to analyze data and generate insights. While AI automates certain tasks, these jobs also require expertise in interpreting results, developing models, and strategic decision-making, making human oversight essential. AI complements rather than replaces analytics professionals in most environments.
What are the most commonly searched types of Predictive Analytics jobs in Delaware? The most popular types of Predictive Analytics jobs in Delaware are:
What job categories do people searching Executive Predictive Analytics jobs in Delaware look for? The top searched job categories for Executive Predictive Analytics jobs in Delaware are:
What cities in Delaware are hiring for Executive Predictive Analytics jobs? Cities in Delaware with the most Executive Predictive Analytics job openings:
Solutions Analyst - Operations Predictive Modeling & Forecasting

Solutions Analyst - Operations Predictive Modeling & Forecasting

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 25 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

47th of 142 rated banks


Job description

Job Summary

The Card Marketing Activation & Transformation team is seeking an experienced & highly motivated Analyst that will focus on the development/maintenance of  complexity modeling  that integrates into the build of end- to- end forecast modeling across all key teams involved in the execution of a marketing campaign. This is a data intensive position that requires prior background in building predictive models, data modeling solutions, and forecasting techniques. 

As a Solutions Analyst, you will leverage statistical and machine learning methods to analyze complex datasets, generate actionable forecasts, and optimize business strategies.

 

Job Responsibilities

  • Design, build, and validate predictive models to forecast capacity requirements across various teams/roles and predict marketing campaign timelines
  • Assist in the development of  data models and other user tools to support analytics initiatives and ensure data integrity
  • Apply statistical and machine learning techniques for time series analysis and forecasting.
  • Collaborate with business stakeholders to understand requirements and translate them into analytical solutions
  • Communicate model results, insights, and recommendations to technical and non-technical audiences
  • Monitor model performance and recalibrate as necessary to maintain accuracy and relevance
  • Document modeling processes, assumptions, and results for transparency and compliance
  • Stay updated on the latest advancements in predictive analytics, data modeling, and forecasting methodologies

Required qualifications, capabilities, and skills

  • Bachelor's degree in a quantitative field or 3 years operational/segmentation analytics or other quantitative experience
  • 4+ years of experience in engineering, statistics, mathematics, or another quantitative field 
  • Proficiency in programming languages such as SQL, Python, R, for statistical modelling
  • Experience with data visualization tools such as Tableau and/or Power BI.
  • Strong understanding of data modeling concepts, including relational and non-relational databases
  • Demonstrated ability to query and analyze large datasets to provide meaningful insights.
  • Ability to understand LLM models and integrate AI capabilities into operational analytics, preferable
  • Strong analytical and problem-solving abilities
  • Experience delivering recommendations to leadership
  • Self-starter with ability to execute quickly and effectively
  • Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives

Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting. 

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

We offer a broad array of credit cards to meet the needs of individuals and small businesses, including Chase-branded and co-branded cards in partnership with well-known companies and organizations. Merchant Services is a leading provider of payment, fraud and data security for companies, capable of authorizing transactions across global currencies.

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