Analytics Solution Associate at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

0.0

Posted On

24 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Warehousing, AWS Glue, AWS Lambda, Data Governance, Data Lineage, Business Systems Analysis, Data Quality Management, Stakeholder Management, Project Delivery, Data Visualization, Database Design, Relational Databases, Agile Methodology, Banking Operations

Industry

Financial Services

Description

Are you ready to make a real impact with your analytical expertise? Join our F&BM Strategic Operational Data Intelligence team as an Analytics Solutions Senior Associate and help shape the future of our organization through innovative data solutions. You’ll lead strategic initiatives, collaborate with cross-functional teams, and deliver high-quality outcomes in a dynamic environment. We value hands-on, pragmatic professionals who communicate confidently, prioritize effectively, and foster an inclusive culture of continuous improvement. Job summary As a Senior Analytics Solutions Associate in our F&BM Strategic Operational Data Intelligence team , you will support the delivery of impactful data solutions and contribute to strategic decision-making. You will balance structure and best practices with pragmatic approaches, ensuring high-quality outcomes. You communicate and negotiate confidently at all levels, prioritize effectively, and embrace a hands-on attitude to get things done. Together, we foster an inclusive environment where your contributions help shape our organization’s future. Job responsibilities * Lead the delivery of current state documentation and data lineage capture. * Interpret data requirements into actionable plans and identify inconsistencies. * Apply best practice data governance and data quality controls under guidance. * Manage project delivery across borders and within matrix reporting structures. * Oversee data warehouse process models, including sourcing, loading, transformation, and extraction. * Utilize industry-standard data warehousing tools for ingestion, streaming, storage, and visualization. * Integrate data warehousing solutions within cloud platforms such as AWS Glue and AWS Lambda. * Collaborate with cross-functional teams to forge innovative analytics projects. * Communicate and negotiate effectively with stakeholders at all levels. * Prioritize tasks and manage multiple projects simultaneously. * Foster a culture of teamwork and continuous improvement. Required qualifications, capabilities, and skills * Bachelor’s degree in a quantitative discipline, or equivalent education and/or professional experience. * Minimum 5 years of experience in business systems analysis or in designing and developing business applications. * At least 3 years of hands-on experience with SQL and Python (or another programming language) in a professional setting. * Some understanding of banking operations, ideally with expertise in payment processing. * Proven ability to deliver current state documentation and capture data lineage. * A good understanding of best practices in data governance and data quality management. * Experience of delivery skills, including managing projects within a matrix organization across borders and multiple regions. * Practical knowledge of data warehouse process models, such as data sourcing, loading, transformation, and extraction, with experience using industry-standard data warehousing tools for ingestion, streaming, storage, and visualization. * Familiarity with cloud-based data warehousing technologies (e.g., AWS Glue, AWS Lambda, Data Warehouse, Data Lake, Data Mesh). * Exceptional analytical abilities and keen attention to detail. Preferred qualifications, capabilities, and skills * Experience delivering within strategic front-to-back programs. In-depth knowledge of database design and relational database concepts; experience with large-scale data warehouses is advantageous. * Some understanding of core metadata and data quality principles, data transfer, and profiling technologies. * Promote lean and agile software development lifecycle behaviors. * Broad financial services experience and an understanding of current banking industry challenges. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities

Lead the delivery of data solutions, including current state documentation and data lineage capture, to support strategic decision-making. Oversee data warehouse process models and collaborate with cross-functional teams to implement innovative analytics projects.