Vacancy expired!
MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.
Description
This role will understand existing key business and operational metrics and develop dashboards to manage these. At this level, the job will be responsible to contribute to the design and execution of experiments that support the business and product teams to formulate conclusions, even in situations with limited data. Develops strong working relationships with internal customers and works closely with them to understand and anticipate needs and opportunities.
Essential Functions
Manages, transforms and integrates data to ensure info is accurate and interpretable for analysis
Conducts analysis using statistical and visualization techniques with large, complex data sets to translate results into actionable deliverables for business leaders
Identifies and assists in developing key business and operational metrics that support positive business outcomes.
Provides business impact studies on all major initiatives and proposals ensuring focus on business impact.
Builds dashboards, based on identified metrics, to support business decisions for both corporate and operational needs
Conducts statistical hypothesis testing and proactive and predictive scenario analysis to evaluate outcomes of operational experiments
Provides ad-hoc/special project data analysis for business leaders, enabling them to achieve goals, drive decision making, impact new strategies and make improvements
Required Skills
Exceptional analytical and problem-solving skills
Working knowledge of building front-end dashboards using data visualization tools (Tableau, Spotfire, Power BI and/or d3.js) required
Working knowledge of SQL to query large and complex data sets, test query results, and tune query performance required
Working Knowledge of statistical analysis for hypothesis testing and prediction (t-tests, ANOVA, regression, DOE, etc.) required
Working knowledge of a data analytics programming language such as Python, R and/or SAS preferred
Working knowledge of ETL (Extract-Transform-Load) concepts for acquiring, cleansing, and combining diverse and disparate data sets preferred
Ability to effectively communicate complex ideas regarding data analysis in an understandable, clear and concise manner
Strong presentation skills necessary to present information to management, end users, co-workers or vendors
Leading financial services group and the preeminent Asian-based investment bank with worldwide reach. We provide a broad range of innovative solutions tailored to the specific requirements of individual, institutional, corporate and government clients through an international network in 30 countries.
Competitive salary based on skills and experience + equity stake in the company
Excellent insurance and benefits package, including health, vision, and dental
Optional 401K plan participation + discretionary yearly company match
Paid vacation and sick-leave
Invaluable learning experience at a high growth, margin-focused company with strong fundamentals, a deep and innovative product pipeline, and a loyal customer base
Apply today using the link provided and your resume will be considered in 24 hours.