About JPMorgan Chase & Co
Sourced by ZipRecruiter
Industry
Finance and insurance and banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US
$55.50K - $56K/yr
Full-time
Medical, Retirement
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8.1
Based on 466 frontline employees who took The Breakroom Quiz
46th of 141 rated banks
Join the Global Technology F&BM myDATA Reporting Team and help shape the future of analytics at JPMorgan Chase. You'll collaborate with talented colleagues, gain exposure to senior leaders, and play a key role in modernizing our reporting landscape. This is your opportunity to grow your technical and professional skills, build influential partnerships, and make a real impact in a dynamic, supportive environment.
As an Analytics Solutions Associate in the Global Technology Finance & Business Management myDATA Reporting Team, you will help drive the modernization of analytics and reporting across the firm. You'll work with a diverse team, contribute to high-impact projects, and develop solutions that empower business decisions and innovation.
You will be part of a collaborative, growth-oriented team that values curiosity, initiative, and continuous learning. Your contributions will help streamline processes, enhance data-driven insights, and support the firm's strategic goals.
Job responsibilities:
Required qualifications, capabilities, and skills:
Preferred qualifications, capabilities, and skills:
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
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Sourced by ZipRecruiter
Finance and insurance and banking and credit intermediation
10,000+ Employees
New York, NY, US
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Data Scientist Finance Salaries
Q: What skills or qualities help someone succeed as a Associate Data Scientist?
A: To succeed as an Associate Data Scientist, key technical skills include proficiency in programming languages such as Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with a curious and analytical mindset, are essential for success in this role. By combining these technical and soft skills, Associate Data Scientists can effectively drive business decisions, identify insights, and contribute to the growth and development of their organization.
Q: What is the career path for a Associate Data Scientist?
A: The typical career progression for an Associate Data Scientist involves starting as an entry-level Data Analyst or Junior Data Scientist, then advancing to a mid-level Data Scientist role, and eventually becoming a Senior Data Scientist or Lead Data Scientist. Key opportunities for skill development and professional growth include mastering machine learning algorithms, deep learning techniques, and programming languages such as Python and R, as well as developing expertise in data visualization, statistical modeling, and data engineering. Long-term career prospects for Data Scientists may include transitioning into leadership roles, such as Data Engineering Manager or Director of Data Science, or pursuing specialized roles like Quantitative Analyst or Artificial Intelligence Engineer.