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Commission Data Mining Jobs Near Me

Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps ... In addition, eligible annual bonuses, equity and commissions may be available for some positions.

... Commission documentation as well as other CRH requirements * Promote and utilize technology ... Ability to develop clear communicable plans using data driven information to be presented to upper ...

... Commission documentation as well as other CRH requirements * Promote and utilize technology ... Ability to develop clear communicable plans using data driven information to be presented to upper ...

Familiarity with data mining, statistical modeling, machine learning and other advanced analytics ... Those in eligible roles may receive commission-based pay and/or discretionary incentive ...

Python, data mining, predictive analytics, machine learning, data modelling, etc.) * Experience ... Those in eligible roles may receive commission-based pay and/or discretionary incentive ...

Python, data mining, predictive analytics, machine learning, data modelling, etc.) * Experience ... Those in eligible roles may receive commission-based pay and/or discretionary incentive ...

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How much do commission data mining jobs pay per year?

As of Aug 21, 2026, the average yearly pay for commission data mining in the United States is $69,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $85,000.00 per year, depending on experience, location, and employer.

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Cities with the most Commission Data Mining job openings:

What states have the most Commission Data Mining jobs?

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What are the most commonly searched types of Data Mining jobs?

The most popular types of Data Mining jobs are:

A map of the United States highlighting the number of Commission Data Mining job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Commission Data Mining job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Scientist-Senior Associate

J.P. Morgan

Columbus, OH

Full-time

Medical, Retirement

Re-posted 4 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Drive the future of data-driven decision making - join us to transform raw information into actionable insights that power business innovation.

As a Data Scientist on the Business Banking Data & Analytics (D&A) Client Analytics Team, You'll support Business Banking Strategy by delivering data-driven insights that inform strategic decision-making across the business. You will leverage your analytical expertise to support high-visibility projects and contribute to the development of materials for senior leaders (including external investors). If you're a quick learner with a growth mindset that wants to use data science to help shape the strategy for one of the largest businesses at Chase, this could be the role for you.

Job Responsibilities

  • Collaborate with Business Banking senior stakeholders to identify key business challenges and opportunities, and develop data-driven solutions to address them.
  • Apply statistical methods and data analysis to solve business problems, under guidance from senior team members.
  • Support all project phases, from requirements gathering and analysis to delivering insights to senior leaders.
  • Navigate large amounts of data from multiple sources, utilizing Python and SQL for data processing and analysis, while ensuring accuracy.
  • Work cross-functionally with other departments/SMEs to ensure data quality and methodologies are applicable and accurate.
  • Maintain data integrity and security, complying with all relevant regulations and protocols.
  • Actively participate in learning and development opportunities, staying abreast of current trends and best practices in data science, and applying newfound knowledge to enhance job performance and project outcomes.

Required qualifications, capabilities, and skills

  • Completion of Bachelor's / Graduate degree in a quantitative field (Computer Science, Engineering, Operations Research, etc.) plus 4+ years of experience producing advanced analytics work with an emphasis in optimization.
  • Proficiency in Python and SQL, along with hands-on experience using statistical software packages and data tools, including Snowflake and Databricks.
  • Demonstrated command of advanced statistical methods and concepts, including predictive modeling, time series forecasting, and text mining.
  • Experience with data mining and visualization, including Tableau.
  • Effective storytelling and communication skills, with the ability to translate complex concepts into digestible insights for audiences across levels; able to influence stakeholders, articulate value hypotheses, and secure sponsorship.
  • Commitment to iterative development, including a proven ability to engage and update stakeholders bi-weekly (or as needed) to ensure alignment, incorporate feedback, and maintain transparency throughout the project lifecycle.
  • Experience presenting to senior leaders and stakeholders.

Preferred qualifications, capabilities, and skills

  • Experience in Financial Services, Consulting, or working with strategy teams is a plus.

ABOUT US

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

ABOUT THE TEAM

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.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.