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Chase · 6 days ago

Operations Strategy Analytics-Senior Associate

1111 Polaris Pkwy, Columbus, OH, 43240, US

Full-time

Onsite

Mid Level

$95K/yr - $150K/yr

3+ years exp

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. The Operations Strategy Associate role involves consulting, project management, and user-centric product design to develop actionable data science and analytical solutions that drive efficiency across the product development life cycle.

BankingFinancial Services

No H1B

Responsibilities

Serve as a consultant aiming to solve business problems that drive qualitative and quantitative business value

Conduct research to inform strategic proposals for inclusion in internal-facing products designed to drive productivity and efficiency across all employees engaged in building and maintaining the 107 software products at Chase

Design and execute implementation plans across prioritized initiatives ranging from product enhancements to experiments across job family personas

Manage relationships with senior leaders including supporting presentations to CFO, CTO, and CPO

Leverage design thinking practices to develop strategic, end-to-end, scalable solutions; coach others to inject the same practices into their work

Synthesize analytical findings for consumption by internal analytical clients and senior executives

Establish and manage relationships with internal clients and partners

Identify new project opportunities helping to grow our business pipeline for respective books of work

Maintain a rigorous controls environment to ensure accurate and timely results

Qualification

Data analyticsSQLPythonDesign thinkingTableauAlteryxAgileBig data technologiesConsulting orientationUser researchStakeholder communicationCommunicationProblem solvingCross-functional leadership

Required

3+ years of industry experience in consulting, solution design, or business analytics roles (e.g., marketing analytics, sales analytics, business insights)

Experience with data analytics and/or visualization techniques (e.g. SQL, Python, Tableau, Alteryx), as well as big data technologies (e.g. Hadoop, Cassandra, AWS)

Excellent communication, with an ability to convey the strategic vision in a digestible manner for varying technical and senior audiences

Experience with design thinking practices and tools (e.g., Lucid, Figma, customer journey mapping) and product management principles (e.g., Agile)

Consulting orientation with ability to influence and effectively lead cross-functional teams

Self-starter with out-of-the box problem solving skills and a drive to bring new ideas to life

Experience and knowledge of data science and analytical methodologies and approaches, and familiarity with various artificial intelligence functionalities

Undergraduate degree in a quantitative discipline